class BasicEncoder(object):
"""Abstract Encoder for the BasicPacketEncoding Layer"""
def __init__(self, logger_name="BasicEncoder", log_level=255):
self.__logger_name = logger_name
self.__log_level = log_level
self.logger = Logger(self.__logger_name, self.__log_level)
def set_log_level(self, log_level):
self.logger.setLevel(log_level)
@abc.abstractmethod
def encode(self, packet: Packet):
"""encode a packet to wireformat"""
@abc.abstractmethod
def decode(self, wire_data) -> Packet:
"""decode a packet to Packet data structure"""
def __getstate__(self):
d = dict(self.__dict__)
if 'logger' in d:
del d['logger']
return d
def __setstate__(self, d):
self.__dict__.update(
d
) #need to store logger parameter and recreate logger here, since it cannot be pickled
self.logger = Logger(self.__logger_name, self.__log_level)
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("Repo", log_level)
# Info
logger.info("Starting a PinnedNFN Server...")
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: Extended NDN Packet Format")
# Packet encoder
encoder = ExtendedNdnTlvEncoder(log_level)
# Start
server = PiCN.Playground.Heartbeats.Nodes.HeartbeatComputationStack(
port=args.port, log_level=log_level, encoder=encoder)
server.start_forwarder()
server.link_layer.process.join()
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("ICNForwarder", log_level)
# Info
logger.info("Starting a Heartbeat Nodes...")
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: Extended NDN Packet Format")
# Packet encoder
encoder = ExtendedNdnTlvEncoder(log_level)
# Start
forwarder = HeartbeatForwarderStack(args.port, log_level, encoder)
forwarder.start_forwarder()
forwarder.link_layer.process.join()
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("Repo", log_level)
# Info
logger.info("Starting a Repo...")
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: " + args.format)
# Packet encoder
encoder = NdnTlvEncoder(
log_level) if args.format == 'ndntlv' else SimpleStringEncoder
# Start
forwarder = PiCN.Playground.AssistedSharing.RepoStack(
args.port, log_level, encoder)
forwarder.start_forwarder()
forwarder.link_layer.process.join()
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("ICNForwarder", log_level)
# Info
logger.info("Starting a CCN Forwarder...")
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: " + args.format)
# Packet encoder
encoder = NdnTlvEncoder(
log_level) if args.format == 'ndntlv' else SimpleStringEncoder
# Start
forwarder = PiCN.ProgramLibs.ICNForwarder.ICNForwarder(
args.port, log_level, encoder, autoconfig=args.autoconfig)
forwarder.start_forwarder()
forwarder.linklayer.process.join()
def main(args):
thread_list = []
logger = Logger("ExpLogger", 255)
params = list(range(201, 701))
#random.shuffle(params)
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock.settimeout(20000)
sock.bind(("0.0.0.0", 0))
for i in list(params):
ip = args.ip
plain = args.plain
port = args.port
format = args.format
interestName = Name("/the/prefix/bernoulli/" + str(i) + "/1/pNFN")
arguments = [format, ip, port, plain, interestName, logger, sock]
thread = Thread(target = run_singel_interest, args= arguments)
time.sleep(0.5)
thread.start()
thread_list.append(thread)
# Packet encoder, interestName)
# run_singel_interest(args, interestName)
for t in thread_list:
t.join()
def __init__(self,
port=8500,
log_level=255,
encoder: BasicEncoder = NdnTlvEncoder):
# debug level
logger = Logger("Publisher", log_level)
# packet encoder
encoder.set_log_level(log_level)
self.encoder = encoder
# create datastruct
synced_data_struct_factory1 = PiCNSyncDataStructFactory()
synced_data_struct_factory1.register("face_id_table", FaceIDDict)
synced_data_struct_factory1.create_manager()
face_id_table = synced_data_struct_factory1.manager.face_id_table()
# initialize layers
self.link_layer = BasicLinkLayer([UDP4Interface(port)],
face_id_table,
log_level=log_level)
self.packet_encoding_layer = BasicPacketEncodingLayer(
self.encoder, log_level=log_level)
self.repo_layer = RepoLayer(log_level=log_level)
self.stack: LayerStack = LayerStack(
[self.repo_layer, self.packet_encoding_layer, self.link_layer])
def __init__(self,
replica_id,
port=9500,
log_level=255,
encoder: BasicEncoder = NdnTlvEncoder):
# debug level
logger = Logger("Repo", log_level)
# packet encoder
encoder.set_log_level(log_level)
self.encoder = encoder
# create datastruct
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("cs", ContentStoreMemoryExact)
synced_data_struct_factory.register(
"fib", ForwardingInformationBaseMemoryPrefix)
synced_data_struct_factory.register("pit",
PendingInterestTableMemoryExact)
synced_data_struct_factory.register("face_id_table", FaceIDDict)
synced_data_struct_factory.create_manager()
cs = synced_data_struct_factory.manager.cs()
fib = synced_data_struct_factory.manager.fib()
pit = synced_data_struct_factory.manager.pit()
face_id_table = synced_data_struct_factory.manager.face_id_table()
# initialize layers
self.link_layer = BasicLinkLayer([UDP4Interface(port)],
face_id_table,
log_level=log_level)
self.packet_encoding_layer = BasicPacketEncodingLayer(
self.encoder, log_level=log_level)
self.icn_layer = BasicICNLayer(log_level=log_level)
self.pinned_computation_layer = PinnedComputationLayer(
replica_id, log_level=log_level)
# tell icn_layer that there is a higher layer which might satisfy interests
self.icn_layer._interest_to_app = True # TODO -- decide here if it should be forwarded upwards or not
# self.icn_layer._interest_to_app = lambda interest: interest.name.components[-1] == b"pNFN"
# setup stack
self.stack: LayerStack = LayerStack([
self.pinned_computation_layer, self.icn_layer,
self.packet_encoding_layer, self.link_layer
])
# set CS, FIB, PIT in forwarding layer
self.icn_layer.cs = cs
self.icn_layer.fib = fib
self.icn_layer.pit = pit
def __init__(self,
ip: str,
port: Optional[int],
log_level=255,
encoder: BasicEncoder = None,
autoconfig: bool = False,
interfaces=None,
session_keys: Optional[Dict] = None,
name: str = None,
polling_interval: float = 1.0,
ping_interval: float = 2.0):
super().__init__(ip, port, log_level, encoder, autoconfig, interfaces,
name)
self.ip = ip
self._logger = Logger("FetchSession", log_level)
self._pending_sessions: List[Name] = []
self._running_sessions: Dict[Name:Name] = dict(
) if session_keys is None else session_keys
self._has_session: bool = True if session_keys is not None else False
self._session_initiator = 'session_connector'
self._session_identifier = 'sid'
self._polling_interval = polling_interval
self._ping_interval = ping_interval
self._manager = Manager()
self._mutex = self._manager.Lock()
self.receive_process = Process(target=self._receive_session,
args=(
self.lstack.queue_to_higher,
self._polling_interval,
self._mutex,
))
self.ping_process = Process(target=self._ping_messages,
args=(self._ping_interval, ))
self.receive_process.start()
self.ping_process.start()
def __init__(self,
replica_id,
port=9500,
log_level=255,
encoder: ExtendedNdnTlvEncoder = ExtendedNdnTlvEncoder):
# debug level
logger = Logger("Server", log_level)
# packet encoder
encoder.set_log_level(log_level)
self.encoder = encoder
# create datastruct
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("cs", ContentStoreMemoryExact)
synced_data_struct_factory.register(
"fib", ForwardingInformationBaseMemoryPrefix)
synced_data_struct_factory.register("pit",
PendingInterstTableMemoryExact)
synced_data_struct_factory.register("face_id_table", FaceIDDict)
synced_data_struct_factory.create_manager()
cs = synced_data_struct_factory.manager.cs()
fib = synced_data_struct_factory.manager.fib()
pit = synced_data_struct_factory.manager.pit()
face_id_table = synced_data_struct_factory.manager.face_id_table()
# initialize layers
self.link_layer = BasicLinkLayer([UDP4Interface(port)],
face_id_table,
log_level=log_level)
self.packet_encoding_layer = HeartbeatPacketEncodingLayer(
self.encoder, log_level=log_level)
self.heartbeat_network_layer = HeartbeatNetworkLayer(
log_level=log_level, interest_to_app=True)
self.heartbeat_computation_layer = HeartbeatComputationLayer(
replica_id, log_level=log_level)
# setup stack
self.stack: LayerStack = LayerStack([
self.heartbeat_computation_layer, self.heartbeat_network_layer,
self.packet_encoding_layer, self.link_layer
])
# set CS, FIB, PIT in forwarding layer
self.heartbeat_network_layer.cs = cs
self.heartbeat_network_layer.fib = fib
self.heartbeat_network_layer.pit = pit
def __init__(self,
port=9500,
http_port=8080,
log_level=255,
encoder: BasicEncoder = NdnTlvEncoder,
database_path="/tmp",
flush_database=False,
pem_path=None):
# debug level
logger = Logger("Repo", log_level)
# packet encoder
encoder.set_log_level(log_level)
self.encoder = encoder
# setup data structures
synced_data_struct_factory1 = PiCNSyncDataStructFactory()
synced_data_struct_factory1.register("face_id_table", FaceIDDict)
synced_data_struct_factory1.register("cs", ContentStorePersistentExact)
synced_data_struct_factory1.create_manager()
face_id_table = synced_data_struct_factory1.manager.face_id_table()
storage = synced_data_struct_factory1.manager.cs(
db_path=database_path + "/beesens-cs.db")
if flush_database:
storage.delete_all()
# initialize layers
self.link_layer = BasicLinkLayer([UDP4Interface(port)],
face_id_table,
log_level=log_level)
self.packet_encoding_layer = BasicPacketEncodingLayer(
self.encoder, log_level=log_level)
self.storage_layer = StorageLayer(log_level=log_level)
self.interface_layer = InterfaceLayer(http_port=http_port,
log_level=log_level,
pem_path=pem_path,
flush_database=flush_database)
# setup stack
self.stack: LayerStack = LayerStack([
self.interface_layer, self.storage_layer,
self.packet_encoding_layer, self.link_layer
])
# pass cs to storage layer
self.storage_layer.storage = storage
def __init__(self, database_path, port=9000, log_level=255, encoder: BasicEncoder = None, flush_database=False):
# debug level
logger = Logger("PushRepo", log_level)
# packet encoder
if encoder is None:
self.encoder = SimpleStringEncoder(log_level=log_level)
else:
encoder.set_log_level(log_level=log_level)
self.encoder = encoder
# setup data structures
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("cs", ContentStorePersistentExact)
synced_data_struct_factory.register("faceidtable", FaceIDDict)
synced_data_struct_factory.create_manager()
cs = synced_data_struct_factory.manager.cs(db_path=database_path + "/pushrepo.db")
if flush_database:
cs.delete_all()
faceidtable = synced_data_struct_factory.manager.faceidtable()
# default interface
interfaces = [UDP4Interface(port)]
mgmt_port = interfaces[0].get_port()
# initialize layers
self.linklayer = BasicLinkLayer(interfaces, faceidtable, log_level=log_level)
self.packetencodinglayer = BasicPacketEncodingLayer(self.encoder, log_level=log_level)
self.repolayer = PushRepositoryLayer(log_level=log_level)
self.lstack: LayerStack = LayerStack([
self.repolayer,
self.packetencodinglayer,
self.linklayer
])
self.repolayer.cs = cs
# mgmt
self.mgmt = Mgmt(cs, None, None, self.linklayer, mgmt_port, self.stop_forwarder,
log_level=log_level)
def __init__(self,
port=9000,
log_level=255,
encoder: BasicEncoder = None,
interfaces: List[BaseInterface] = None,
executors: BaseNFNExecutor = None,
ageing_interval: int = 3,
use_thunks=False):
# debug level
logger = Logger("NFNForwarder", log_level)
logger.info("Start PiCN NFN Forwarder on port " + str(port))
# packet encoder
if encoder is None:
self.encoder = SimpleStringEncoder(log_level=log_level)
else:
encoder.set_log_level(log_level)
self.encoder = encoder
# setup data structures
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("cs", ContentStoreMemoryExact)
synced_data_struct_factory.register(
"fib", ForwardingInformationBaseMemoryPrefix)
synced_data_struct_factory.register("pit",
PendingInterstTableMemoryExact)
synced_data_struct_factory.register("faceidtable", FaceIDDict)
synced_data_struct_factory.register("computation_table",
NFNComputationList)
synced_data_struct_factory.register("timeoutprevention_dict",
TimeoutPreventionMessageDict)
if use_thunks:
synced_data_struct_factory.register("thunktable", ThunkList)
synced_data_struct_factory.register("plantable", PlanTable)
synced_data_struct_factory.create_manager()
cs = synced_data_struct_factory.manager.cs()
fib = synced_data_struct_factory.manager.fib()
pit = synced_data_struct_factory.manager.pit()
faceidtable = synced_data_struct_factory.manager.faceidtable()
self.parser = DefaultNFNParser()
if use_thunks:
thunktable = synced_data_struct_factory.manager.thunktable()
plantable = synced_data_struct_factory.manager.plantable(
self.parser)
#setup chunkifier
self.chunkifier = SimpleContentChunkifyer()
# default interface
if interfaces is not None:
self.interfaces = interfaces
mgmt_port = port
else:
interfaces = [UDP4Interface(port)]
mgmt_port = interfaces[0].get_port()
# initialize layers
self.linklayer = BasicLinkLayer(interfaces,
faceidtable,
log_level=log_level)
self.packetencodinglayer = BasicPacketEncodingLayer(
self.encoder, log_level=log_level)
self.icnlayer = BasicICNLayer(log_level=log_level,
ageing_interval=ageing_interval)
self.chunklayer = BasicChunkLayer(self.chunkifier, log_level=log_level)
# setup nfn
self.icnlayer._interest_to_app = True
if executors is None:
self.executors = {"PYTHON": NFNPythonExecutor()}
else:
self.executors = executors
self.r2cclient = TimeoutR2CHandler()
comp_table = synced_data_struct_factory.manager.computation_table(
self.r2cclient, self.parser)
self.nfnlayer = BasicNFNLayer(cs,
fib,
pit,
faceidtable,
comp_table,
self.executors,
self.parser,
self.r2cclient,
log_level=log_level)
if use_thunks:
self.thunk_layer = BasicThunkLayer(cs,
fib,
pit,
faceidtable,
thunktable,
plantable,
self.parser,
log_level=log_level)
self.nfnlayer.optimizer = ThunkPlanExecutor(
cs, fib, pit, faceidtable, plantable)
timeoutprevention_dict = synced_data_struct_factory.manager.timeoutprevention_dict(
)
self.timeoutpreventionlayer = BasicTimeoutPreventionLayer(
timeoutprevention_dict, comp_table, pit=pit, log_level=log_level)
if use_thunks:
self.lstack: LayerStack = LayerStack([
self.nfnlayer, self.chunklayer, self.timeoutpreventionlayer,
self.thunk_layer, self.icnlayer, self.packetencodinglayer,
self.linklayer
])
else:
self.lstack: LayerStack = LayerStack([
self.nfnlayer, self.chunklayer, self.timeoutpreventionlayer,
self.icnlayer, self.packetencodinglayer, self.linklayer
])
self.icnlayer.cs = cs
self.icnlayer.fib = fib
self.icnlayer.pit = pit
# mgmt
self.mgmt = Mgmt(self.icnlayer.cs,
self.icnlayer.fib,
self.icnlayer.pit,
self.linklayer,
mgmt_port,
self.stop_forwarder,
log_level=log_level)
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("NFNForwarder", log_level)
# Info
logger.info("Starting a NFN Forwarder...")
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: " + args.format)
# Packet encoder
encoder = NdnTlvEncoder(
log_level) if args.format == 'ndntlv' else SimpleStringEncoder(
log_level)
if args.optimizer == "Edge":
forwarder = PiCN.ProgramLibs.NFNForwarder.NFNForwarder(
args.port, log_level, encoder, ageing_interval=1)
logger.info("Edge Computing Node")
forwarder.icnlayer.pit.set_pit_timeout(2)
forwarder.icnlayer.cs.set_cs_timeout(30)
forwarder.nfnlayer.optimizer = EdgeComputingOptimizer(
forwarder.icnlayer.cs, forwarder.icnlayer.fib,
forwarder.icnlayer.pit, forwarder.linklayer.faceidtable)
elif args.optimizer == "MapReduce":
forwarder = PiCN.ProgramLibs.NFNForwarder.NFNForwarder(
args.port, log_level, encoder)
logger.info("Using MapReduce Optimizer")
forwarder.nfnlayer.optimizer = MapReduceOptimizer(
forwarder.icnlayer.cs, forwarder.icnlayer.fib,
forwarder.icnlayer.pit, forwarder.linklayer.faceidtable)
elif args.optimizer == "Thunks":
forwarder = PiCN.ProgramLibs.NFNForwarder.NFNForwarder(args.port,
log_level,
encoder,
use_thunks=True)
logger.info("Using Thunks for Planning and Optimizing")
else:
forwarder = PiCN.ProgramLibs.NFNForwarder.NFNForwarder(
args.port, log_level, encoder)
forwarder.start_forwarder()
forwarder.linklayer.process.join()
def __init__(self,
port=9000,
log_level=255,
encoder: ExtendedNdnTlvEncoder = None,
interfaces: List[BaseInterface] = None):
# debug level
logger = Logger("ICNForwarder", log_level)
# packet encoder
if encoder is None:
self.encoder = ()
else:
encoder.set_log_level(log_level)
self.encoder = encoder
# setup data structures
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("cs", ContentStoreMemoryExact)
synced_data_struct_factory.register(
"fib", ForwardingInformationBaseMemoryPrefix)
synced_data_struct_factory.register("pit",
PendingInterstTableMemoryExact)
synced_data_struct_factory.register("face_id_table", FaceIDDict)
synced_data_struct_factory.create_manager()
cs = synced_data_struct_factory.manager.cs()
fib = synced_data_struct_factory.manager.fib()
pit = synced_data_struct_factory.manager.pit(pit_timeout=60)
face_id_table = synced_data_struct_factory.manager.face_id_table()
# default interface
if interfaces is not None:
self.interfaces = interfaces
mgmt_port = port
else:
interfaces = [UDP4Interface(port)]
mgmt_port = interfaces[0].get_port()
# initialize layers
self.link_layer = BasicLinkLayer(interfaces,
face_id_table,
log_level=log_level)
self.packet_encoding_layer = HeartbeatPacketEncodingLayer(
self.encoder, log_level=log_level)
self.icn_layer = HeartbeatNetworkLayer(log_level=log_level)
self.lstack: LayerStack = LayerStack(
[self.icn_layer, self.packet_encoding_layer, self.link_layer])
self.icn_layer.cs = cs
self.icn_layer.fib = fib
self.icn_layer.pit = pit
# mgmt
self.mgmt = Mgmt(cs,
fib,
pit,
self.link_layer,
mgmt_port,
self.stop_forwarder,
log_level=log_level)
def __init__(self, foldername: Optional[str], prefix: Name,
port=9000, log_level=255, encoder: BasicEncoder = None,
autoconfig: bool = False, autoconfig_routed: bool = False, interfaces: List[BaseInterface] = None,
use_thunks=False):
"""
:param foldername: If None, use an in-memory repository. Else, use a file system repository.
"""
logger = Logger("ICNRepoSession", log_level)
logger.info("Start PiCN Data Repository with Sessions")
# packet encoder
if encoder is None:
self.encoder = SimpleStringEncoder(log_level=log_level)
else:
encoder.set_log_level(log_level)
self.encoder = encoder
# chunkifyer
self.chunkifyer = SimpleContentChunkifyer()
# repo
manager = multiprocessing.Manager()
if foldername is None:
self.repo: BaseRepository = SimpleMemoryRepository(prefix, manager, logger)
else:
self.repo: BaseRepository = SimpleFileSystemRepository(foldername, prefix, manager, logger)
# initialize layers
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("faceidtable", FaceIDDict)
if use_thunks:
synced_data_struct_factory.register("thunktable", ThunkList)
synced_data_struct_factory.register("plantable", PlanTable)
synced_data_struct_factory.create_manager()
faceidtable = synced_data_struct_factory.manager.faceidtable()
if use_thunks:
self.parser = DefaultNFNParser()
thunktable = synced_data_struct_factory.manager.thunktable()
plantable = synced_data_struct_factory.manager.plantable(self.parser)
if interfaces is not None:
self.interfaces = interfaces
mgmt_port = port
else:
interfaces = [UDP4Interface(port)]
mgmt_port = interfaces[0].get_port()
self.linklayer = BasicLinkLayer(interfaces, faceidtable, log_level=log_level)
self.packetencodinglayer = BasicPacketEncodingLayer(self.encoder, log_level=log_level)
self.chunklayer = BasicChunkLayer(self.chunkifyer, log_level=log_level)
self.repolayer = SessionRepositoryLayer(self.repo, log_level=log_level)
if use_thunks:
self.thunklayer = BasicThunkLayer(None, None, None, faceidtable, thunktable, plantable, self.parser, self.repo, log_level=log_level)
logger.info("Using Thunks")
if use_thunks:
self.lstack: LayerStack = LayerStack([
self.repolayer,
self.chunklayer,
self.thunklayer,
self.packetencodinglayer,
self.linklayer
])
else:
self.lstack: LayerStack = LayerStack([
self.repolayer,
self.chunklayer,
self.packetencodinglayer,
self.linklayer
])
if autoconfig:
self.autoconfiglayer = AutoconfigRepoLayer(name=prefix.string_components[-1],
addr='127.0.0.1',
linklayer=self.linklayer, repo=self.repo,
register_global=autoconfig_routed, log_level=log_level)
self.lstack.insert(self.autoconfiglayer, below_of=self.chunklayer)
# mgmt
self.mgmt = Mgmt(None, None, None, self.linklayer, mgmt_port,
self.start_repo, repo_path=foldername,
repo_prfx=prefix, log_level=log_level)
def __init__(self,
port=9000,
log_level=255,
encoder: BasicEncoder = None,
routing: bool = False,
peers=None,
autoconfig: bool = False,
interfaces: List[BaseInterface] = None,
ageing_interval: int = 3,
node_name: str = None):
# debug level
logger = Logger("ICNForwarder",
log_level) # FIXME: Why isn't this self.logger???
self._node_name = node_name
# packet encoder
if encoder is None:
self.encoder = SimpleStringEncoder(log_level=log_level)
else:
encoder.set_log_level(log_level=log_level)
self.encoder = encoder
# setup data structures
synced_data_struct_factory = PiCNSyncDataStructFactory()
synced_data_struct_factory.register("cs", ContentStoreMemoryExact)
synced_data_struct_factory.register(
"fib", ForwardingInformationBaseMemoryPrefix)
synced_data_struct_factory.register("pit",
PendingInterestTableMemoryExact)
synced_data_struct_factory.register("rib", TreeRoutingInformationBase)
synced_data_struct_factory.register("faceidtable", FaceIDDict)
synced_data_struct_factory.create_manager()
cs = synced_data_struct_factory.manager.cs()
fib = synced_data_struct_factory.manager.fib()
pit = synced_data_struct_factory.manager.pit()
rib = None
if routing:
rib = synced_data_struct_factory.manager.rib()
faceidtable = synced_data_struct_factory.manager.faceidtable()
# default interface
if interfaces is not None:
self.interfaces = interfaces
mgmt_port = port
else:
interfaces = [UDP4Interface(port)]
mgmt_port = interfaces[0].get_port()
# initialize layers
self.linklayer = BasicLinkLayer(interfaces,
faceidtable,
log_level=log_level)
self.packetencodinglayer = BasicPacketEncodingLayer(
self.encoder, log_level=log_level)
self.icnlayer = BasicICNLayer(log_level=log_level,
ageing_interval=ageing_interval)
self.lstack: LayerStack = LayerStack(
[self.icnlayer, self.packetencodinglayer, self.linklayer])
if autoconfig:
self.autoconfiglayer: AutoconfigServerLayer = AutoconfigServerLayer(
linklayer=self.linklayer,
address='127.0.0.1',
registration_prefixes=[(Name('/testnetwork/repos'), True)],
log_level=log_level)
self.lstack.insert(self.autoconfiglayer, below_of=self.icnlayer)
if routing:
self.routinglayer = BasicRoutingLayer(self.linklayer,
peers=peers,
log_level=log_level)
self.lstack.insert(self.routinglayer, below_of=self.icnlayer)
self.icnlayer.cs = cs
self.icnlayer.fib = fib
# ----- by Luc # FIXME: How to pass these parameters to __init__
self.icnlayer.fib.logger = logger
self.icnlayer.fib.node_name = self._node_name
# ----- by Luc # FIXME: How to pass these parameters to __init__
self.icnlayer.pit = pit
self.icnlayer.pit.logger = logger
self.icnlayer.pit.node_name = self._node_name
# -----
if autoconfig:
self.autoconfiglayer.fib = fib
if routing:
self.routinglayer.rib = rib
self.routinglayer.fib = fib
# mgmt
self.mgmt = Mgmt(cs,
fib,
pit,
self.linklayer,
mgmt_port,
self.stop_forwarder,
log_level=log_level)
def main(args):
logger = Logger(
"ICNPushRepo",
logging.DEBUG) # note: set later according to cli/config arguments
logger.info("Starting a Push Repository...")
# Parse Configuration file
conf = None
if args.config != "none":
try:
conf = ConfigParser(args.config)
logger.info("Successfully parsed configuration file.")
except CouldNotOpenConfigError:
conf = None
logger.warning(
"Could not open configuration file. Proceed with command line arguments or default values."
)
except CouldNotParseError:
logger.warning(
"Could not parse configuration file. Proceed with command line arguments or default values."
)
except MalformedConfigurationError as e:
logger.warning(
"Invalid configuration file. Proceed with command line arguments or default values. Hint: "
+ str(e))
# Choose command line arguments before config file arguments before default values
if not args.port:
if conf and conf.udp_port:
args.port = conf.udp_port
else:
args.port = default_port
if not args.format:
if conf and conf.format:
args.format = conf.format
else:
args.format = default_format
if not args.logging:
if conf and conf.logging:
args.logging = conf.logging
else:
args.logging = default_logging
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger.setLevel(log_level)
# Info
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: " + args.format)
logger.info("Database: " + args.database_path)
logger.info("Flush DB: " + str(args.flush_database))
# Packet encoder
encoder = NdnTlvEncoder(
log_level) if args.format == 'ndntlv' else SimpleStringEncoder(
log_level)
# Start
forwarder = PiCN.ProgramLibs.ICNPushRepository.ICNPushRepository(
args.database_path, args.port, log_level, encoder, args.flush_database)
forwarder.start_forwarder()
forwarder.linklayer.process.join()
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("Repo", log_level)
# Info
logger.info("Starting an NFN server...")
logger.info("Replica ID: " + str(args.id))
logger.info("UDP Port: " + str(args.port))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: " + args.format)
# Packet encoder
encoder = NdnTlvEncoder(
log_level) if args.format == 'ndntlv' else SimpleStringEncoder
# Start
server = PiCN.Playground.ForwardingStrategy.NFNStack(replica_id=args.id,
port=args.port,
log_level=log_level,
encoder=encoder)
server.start_forwarder()
server.link_layer.process.join()
def __setstate__(self, d):
self.__dict__.update(
d
) #need to store logger parameter and recreate logger here, since it cannot be pickled
self.logger = Logger(self.__logger_name, self.__log_level)
def main(argv):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("MobilitySimulationExec", log_level)
# Info
logger.info("Mobility Simulation config params...")
logger.info("#run: " + str(args.run))
logger.info("#mobiles: " + str(args.mobiles))
logger.info("#stations: " + str(args.stations))
logger.info("Log Level: " + args.logging)
logger.info("Optimizer: " + str(args.optimizer))
random.seed(args.run)
# create a list of mobile nodes
named_functions = {
"/rsu/func/f1": "PYTHON\nf\ndef f(a, b, c):\n return a+b+c",
"/rsu/func/f2": "PYTHON\nf\ndef f(a, b, c):\n return a*b*c",
"/rsu/func/f3": "PYTHON\nf\ndef f(a, b, c):\n return a-b-c",
"/rsu/func/f4": "PYTHON\nf\ndef f(a, b, c):\n return a**b**c",
"/rsu/func/f5": "PYTHON\nf\ndef f(a, b, c):\n return a/b/c"
}
function_names = [
Name("/rsu/func/f1/_(1,2,3)/NFN"),
Name("/rsu/func/f2/_(1,2,3)/NFN"),
Name("/rsu/func/f3/_(1,2,3)/NFN"),
Name("/rsu/func/f4/_(1,2,3)/NFN"),
Name("/rsu/func/f5/_(1,2,3)/NFN")
]
# create instances of stationary nodes
stationary_nodes_list = []
for i in range(0, args.stations):
stationary_nodes_list.append(StationaryNode(node_id=i, com_range=0.5))
# create instances of mobile nodes
mobile_nodes_list = []
for i in range(0, args.mobiles):
# random vehicle speed between 30km/h and 100 km/h
speed = random.randrange(50, 121, 2)
# let vehicles spawn from both sites of the simulation
if (i % 2) == 0:
mobile_nodes_list.append(
MobileNode(node_id=i, spawn_point=0, speed=speed, direction=1))
else:
mobile_nodes_list.append(
MobileNode(node_id=i,
spawn_point=(len(stationary_nodes_list) - 1),
speed=speed,
direction=-1))
simulation = None
if args.optimizer == "Edge":
simulation = MobilitySimulation(run_id=args.run,
mobile_nodes=mobile_nodes_list,
stationary_nodes=stationary_nodes_list,
stationary_node_distance=0.5,
named_functions=named_functions,
function_names=function_names,
forwarder="NFNForwarder",
optimizer="EdgeComputingOptimizer",
use_distribution_helper=True)
else:
simulation = MobilitySimulation(run_id=args.run,
mobile_nodes=mobile_nodes_list,
stationary_nodes=stationary_nodes_list,
stationary_node_distance=0.5,
named_functions=named_functions,
function_names=function_names,
forwarder="NFNForwarder",
optimizer="ToDataFirstOptimizer",
use_distribution_helper=True)
simulation.run()
def __init__(self, logger_name="PiCNProcess", log_level=255):
self._process: multiprocessing.Process = None
self.logger = Logger(logger_name, log_level)
self.__logger_name = logger_name
self.__log_level = log_level
def main(args):
# Log Level
if args.logging == 'error':
log_level = logging.ERROR
elif args.logging == 'warning':
log_level = logging.WARNING
elif args.logging == 'info':
log_level = logging.INFO
elif args.logging == 'debug':
log_level = logging.DEBUG
else:
log_level = 255
logger = Logger("Repo", log_level)
# Info
logger.info("Starting a BeeSens Repo...")
logger.info("UDP Port: " + str(args.port))
logger.info("Web Port: " + str(args.web_port))
logger.info("Database Path: " + str(args.database_path))
logger.info("Empty Database: " + str(args.flush_database))
logger.info("PEM Path: " + str(args.pem_path))
logger.info("Log Level: " + args.logging)
logger.info("Packet Format: " + args.format)
# Packet encoder
encoder = NdnTlvEncoder(log_level) if args.format == 'ndntlv' else SimpleStringEncoder
# Start
forwarder = PiCN.Playground.BeeSensRepo.RepoStack(args.port, http_port=args.web_port, log_level=log_level,
encoder=encoder, database_path=args.database_path,
flush_database=args.flush_database, pem_path=args.pem_path)
forwarder.start_forwarder()
forwarder.link_layer.process.join()
def __init__(self,
run_id: int,
mobile_nodes: List[MobileNode],
stationary_nodes: List[StationaryNode],
stationary_node_distance: float,
named_functions: dict,
function_names: list,
forwarder: str = "NFNForwarder",
optimizer: str = "ToDataFirstOptimizer",
use_distribution_helper: bool = False,
log_level=logging.DEBUG):
"""
Configuration of the mobility simulation
:param run_id the identifier of the simulation run
:param mobile_nodes a list of mobile nodes part of the simulation
:param stationary_nodes a list of stationary nodes forming the infrastructure
:param stationary_node_distance the distance between the stationary nodes
:param named_functions a dictionary of named function definitions used to be executed
:param function_names a list of function names to be assigned to the mobile nodes
:param forwarder the NFN forwarder to be used
:param optimizer the NFN resolution strategy optimizer to be used in the simulation
:param use_distribution_helper A flag indicating if the default distribution helper (ZipfMandelbrotDistribution)
shall be used or not; default = False
:param log_level the log level of the logger to be used; default: logging.DEBUG
"""
self._run_id = run_id
self._forwarder = forwarder
self._optimizer = optimizer
self._mobile_nodes = mobile_nodes
self._stationary_nodes = stationary_nodes
self._stationary_node_distance = stationary_node_distance
self.logger = Logger("MobilitySimulation", log_level)
self.to_car_faces = [[0] * len(self._mobile_nodes)
for i in range(len(self._stationary_nodes))
] # rsu, car -> faceid
self.to_rsu_faces = [[0] * len(self._mobile_nodes)
for i in range(len(self._stationary_nodes))
] # rsu, car -> faceid
self._velocities = []
self._heading_directions = []
self._starting_points = []
for node in self._mobile_nodes:
self._velocities.append(node.speed)
self._heading_directions.append(node.direction)
self._starting_points.append(node.spawn_point)
self._is_running = False # flag indicating if the simulation is running or not
self._function_names = function_names # list of function names to be invoked by the nodes
self._named_functions = named_functions # a dict of function definitions to be invoked
self._chunk_size = 8192
self._simulation_bus = SimulationBus(
packetencoder=SimpleStringEncoder())
self._stationary_node_name_prefix = Name("/rsu")
self._mobile_node_to_computation = [0] * len(
mobile_nodes) # index which mobile node issues which computation
if use_distribution_helper:
# TODO in the future support more distribution types, e.g., uniform, gaussian, etc.
dist_array = ZipfMandelbrotDistribution.create_zipf_mandelbrot_distribution(
len(self._function_names), 0.7, 0.7)
for i in range(0, len(mobile_nodes)):
self._mobile_node_to_computation[i] = ZipfMandelbrotDistribution.\
get_next_zipfmandelbrot_random_number(dist_array, len(self._function_names)) - 1
# get_next_zipfmandelbrot_random_number(dist_array, len(self._function_names), run_id) - 1
self._compute_rsu_connection_time()
self._setup_simulation_network()
class FetchSessions(Fetch):
"""Fetch Tool for PiCN supporting sessions"""
def __init__(self,
ip: str,
port: Optional[int],
log_level=255,
encoder: BasicEncoder = None,
autoconfig: bool = False,
interfaces=None,
session_keys: Optional[Dict] = None,
name: str = None,
polling_interval: float = 1.0,
ping_interval: float = 2.0):
super().__init__(ip, port, log_level, encoder, autoconfig, interfaces,
name)
self.ip = ip
self._logger = Logger("FetchSession", log_level)
self._pending_sessions: List[Name] = []
self._running_sessions: Dict[Name:Name] = dict(
) if session_keys is None else session_keys
self._has_session: bool = True if session_keys is not None else False
self._session_initiator = 'session_connector'
self._session_identifier = 'sid'
self._polling_interval = polling_interval
self._ping_interval = ping_interval
self._manager = Manager()
self._mutex = self._manager.Lock()
self.receive_process = Process(target=self._receive_session,
args=(
self.lstack.queue_to_higher,
self._polling_interval,
self._mutex,
))
self.ping_process = Process(target=self._ping_messages,
args=(self._ping_interval, ))
self.receive_process.start()
self.ping_process.start()
def handle_session(self, name: Name, packet: Packet) -> None:
"""
:param name Name to be fetched
:param packet Packet with session handshake
"""
if isinstance(packet, Content):
target_name: Name = Name(
f"/{self._session_identifier}/{packet.content}")
session_confirmation: Content = Content(target_name,
packet.content, None)
self.send_content(content=session_confirmation)
self._running_sessions[name] = target_name
self._pending_sessions.remove(name)
self._has_session = True
return None
def get_session_name(self, name: Name) -> Optional[Name]:
"""Fetches the session name from the session store. Returns None otherwise
param name Name of repository to get session key for
"""
if name in self._running_sessions:
return self._running_sessions[name]
else:
return None
def end_session(self, name: Name) -> None:
"""Terminates a session by deleting the associated id from the session store.
param name Name to terminate session with
"""
self._logger.debug(
f"Terminating session with repo {name} (session was {self})")
content = Content(self.get_session_name(name), 'terminate')
self.send_content(content)
self._pending_sessions.remove(name)
del self._running_sessions[name]
self._has_session = False if not self._running_sessions else True
return None
def _ping_messages(self, ping_interval: float = 2.0) -> None:
self._logger.debug(f"--> Starting ping messages at {time.time}")
while True:
if self._has_session:
for repo in self._running_sessions:
self._logger.debug(
f"Sending ping to {repo} at {time.time}")
conntent = Content(self.get_session_name(repo), 'ping')
self.send_content(conntent)
time.sleep(ping_interval)
return None
def _receive_session(self, queue: Queue, polling_interval: float,
mutex: Lock) -> None:
while True:
self._logger.debug(f"--> : Waiting for mutex in loop ...")
mutex.acquire(blocking=True)
packet = None
if not queue.empty():
packet = queue.get()[1]
mutex.release()
if isinstance(packet, Content):
print(f"--> : Receive loop got: {packet.content}")
elif isinstance(packet, Nack):
self._logger.debug(
f"--> One time receive got Nack: {packet.reason}")
elif packet is None:
self._logger.debug(f"--> : No packet in queue")
else:
self._logger.debug(
f"--> : Whoops, we just cleared a non content object from the queue! {packet}"
)
time.sleep(polling_interval)
return None
def fetch_data(self,
name: Name,
timeout: float = 4.0,
use_session: bool = True) -> Optional[str]:
"""Fetch data from the server
:param name Name to be fetched
:param timeout Timeout to wait for a response. Use 0 for infinity
:param use_session Set to False if sessions shouldn't be used even if they are available.
"""
if name in self._running_sessions and use_session: # Create interest with session
interest: Interest = Interest(self._running_sessions.get(name))
else: # Create normal interest
interest: Interest = Interest(name)
self._mutex.acquire(blocking=True)
self.send_interest(interest)
packet = self.receive_packet(timeout)
self._mutex.release()
if self._session_initiator in interest.name.to_string(
): # Check if we need to handle session initiation
new_name = Name(name.components[:-1])
self._pending_sessions.append(new_name)
self.handle_session(new_name, packet)
if isinstance(packet, Content):
self._logger.debug(
f"--> One time receive got content: {packet.content}")
return packet.content
elif isinstance(packet, Nack):
self._logger.debug(
f"--> One time receive got nack: {packet.reason}")
return f"Received Nack: {str(packet.reason.value)}"
return None
def send_interest(self, interest: Interest) -> None:
if self.autoconfig:
self.lstack.queue_from_higher.put([None, interest])
else:
self.lstack.queue_from_higher.put([self.fid, interest])
return None
def receive_packet(self, timeout: float) -> Packet:
if timeout == 0:
packet = self.lstack.queue_to_higher.get()[1]
else:
packet = self.lstack.queue_to_higher.get(timeout=timeout)[1]
return packet
def send_content(self, content: Union[Content, Tuple[Name, str]]) -> None:
if isinstance(content, Content):
c = content
else:
c = Content(content[0], content[1], None)
if self.autoconfig:
self.lstack.queue_from_higher.put([None, c])
else:
self.lstack.queue_from_higher.put([self.fid, c])
return None
def stop_fetch(self):
"""Close everything"""
self.receive_process.terminate()
self.lstack.stop_all()
self.lstack.close_all()
def __repr__(self):
headers = ['Target', 'Session ID']
data = [[k, v] for k, v in self._running_sessions.items()]
return f"Running sessions for <<{self.name}>>:\n{tabulate(data, headers=headers, showindex=True, tablefmt='fancy_grid')}"
def __init__(self, logger_name="BasicEncoder", log_level=255):
self.__logger_name = logger_name
self.__log_level = log_level
self.logger = Logger(self.__logger_name, self.__log_level)
class MobilitySimulation(object):
"""This simulation setup is used to simulate a set of mobile nodes within a NFN based infrastructure"""
def __init__(self,
run_id: int,
mobile_nodes: List[MobileNode],
stationary_nodes: List[StationaryNode],
stationary_node_distance: float,
named_functions: dict,
function_names: list,
forwarder: str = "NFNForwarder",
optimizer: str = "ToDataFirstOptimizer",
use_distribution_helper: bool = False,
log_level=logging.DEBUG):
"""
Configuration of the mobility simulation
:param run_id the identifier of the simulation run
:param mobile_nodes a list of mobile nodes part of the simulation
:param stationary_nodes a list of stationary nodes forming the infrastructure
:param stationary_node_distance the distance between the stationary nodes
:param named_functions a dictionary of named function definitions used to be executed
:param function_names a list of function names to be assigned to the mobile nodes
:param forwarder the NFN forwarder to be used
:param optimizer the NFN resolution strategy optimizer to be used in the simulation
:param use_distribution_helper A flag indicating if the default distribution helper (ZipfMandelbrotDistribution)
shall be used or not; default = False
:param log_level the log level of the logger to be used; default: logging.DEBUG
"""
self._run_id = run_id
self._forwarder = forwarder
self._optimizer = optimizer
self._mobile_nodes = mobile_nodes
self._stationary_nodes = stationary_nodes
self._stationary_node_distance = stationary_node_distance
self.logger = Logger("MobilitySimulation", log_level)
self.to_car_faces = [[0] * len(self._mobile_nodes)
for i in range(len(self._stationary_nodes))
] # rsu, car -> faceid
self.to_rsu_faces = [[0] * len(self._mobile_nodes)
for i in range(len(self._stationary_nodes))
] # rsu, car -> faceid
self._velocities = []
self._heading_directions = []
self._starting_points = []
for node in self._mobile_nodes:
self._velocities.append(node.speed)
self._heading_directions.append(node.direction)
self._starting_points.append(node.spawn_point)
self._is_running = False # flag indicating if the simulation is running or not
self._function_names = function_names # list of function names to be invoked by the nodes
self._named_functions = named_functions # a dict of function definitions to be invoked
self._chunk_size = 8192
self._simulation_bus = SimulationBus(
packetencoder=SimpleStringEncoder())
self._stationary_node_name_prefix = Name("/rsu")
self._mobile_node_to_computation = [0] * len(
mobile_nodes) # index which mobile node issues which computation
if use_distribution_helper:
# TODO in the future support more distribution types, e.g., uniform, gaussian, etc.
dist_array = ZipfMandelbrotDistribution.create_zipf_mandelbrot_distribution(
len(self._function_names), 0.7, 0.7)
for i in range(0, len(mobile_nodes)):
self._mobile_node_to_computation[i] = ZipfMandelbrotDistribution.\
get_next_zipfmandelbrot_random_number(dist_array, len(self._function_names)) - 1
# get_next_zipfmandelbrot_random_number(dist_array, len(self._function_names), run_id) - 1
self._compute_rsu_connection_time()
self._setup_simulation_network()
###########################
# METHODS
###########################
def _compute_rsu_connection_time(self):
"""this method computes the connection time of a mobile node to a stationary node based on velocity of the mobile
node and the communication range of the stationary node. Further enhancements of this simulation should include
physical and MAC layer related communication conditions (e.g., propagation delay, fading, etc.) """
self._contact_time = []
for mobile_node in self._mobile_nodes:
speed_in_ms = mobile_node.speed / 3.6
distance_in_m = 1000 * self._stationary_node_distance
self._contact_time.append(distance_in_m / speed_in_ms * 1e9)
def _setup_stationary_nodes(self):
"""configure the NFN com. stack at the stationary nodes"""
for node in self._stationary_nodes:
# install the NFN forwarder and the mgmt client tool at the stationary node
if self._forwarder == "NFNForwarder":
node.nfn_forwarder = NFNForwarder(
0,
encoder=SimpleStringEncoder(),
interfaces=[
self._simulation_bus.add_interface(
f"rsu{node.node_id}")
],
ageing_interval=10)
elif self._forwarder == "NFNForwarderData":
node.nfn_forwarder = NFNForwarderData(
0,
encoder=SimpleStringEncoder(),
interfaces=[
self._simulation_bus.add_interface(
f"rsu{node.node_id}")
],
chunk_size=self._chunk_size,
num_of_forwards=1,
ageing_interval=10)
else:
self.logger.error(
"Forwarder: " + self._forwarder +
" is not supported! Use 'NFNForwarder' or 'NFNForwarderData'!"
)
# install the optimizer
if self._optimizer == "ToDataFirstOptimizer":
node.nfn_forwarder.nfnlayer.optimizer = ToDataFirstOptimizer(
node.nfn_forwarder.icnlayer.cs,
node.nfn_forwarder.icnlayer.fib,
node.nfn_forwarder.icnlayer.pit,
node.nfn_forwarder.linklayer.faceidtable)
elif self._optimizer == "EdgeComputingOptimizer":
node.nfn_forwarder.nfnlayer.optimizer = EdgeComputingOptimizer(
node.nfn_forwarder.icnlayer.cs,
node.nfn_forwarder.icnlayer.fib,
node.nfn_forwarder.icnlayer.pit,
node.nfn_forwarder.linklayer.faceidtable)
# install the mgmt client tool at the node
node.mgmt_tool = MgmtClient(
node.nfn_forwarder.mgmt.mgmt_sock.getsockname()[1])
node.nfn_forwarder.icnlayer.cs.set_cs_timeout(60)
def _setup_connections_for_stationary_nodes(self):
"""configure the connections """
loop_variable = 0
for node in self._stationary_nodes:
if loop_variable == 0:
# setup first RSU
faceid_rsu_1st = node.nfn_forwarder.linklayer.faceidtable.get_or_create_faceid(
AddressInfo("rsu" + str(1), 0))
node.nfn_forwarder.icnlayer.fib.add_fib_entry(
Name("/nR"), [faceid_rsu_1st])
elif loop_variable == (len(self._stationary_nodes) - 1):
# setup last RSU
faceid_rsu_last = node.nfn_forwarder.linklayer.faceidtable.get_or_create_faceid(
AddressInfo("rsu" + str(loop_variable - 2), 0))
node.nfn_forwarder.icnlayer.fib.add_fib_entry(
Name("/nL"), [faceid_rsu_last])
else:
faceid_node_left = node.nfn_forwarder.linklayer.faceidtable.get_or_create_faceid(
AddressInfo("rsu" + str(loop_variable - 1), 0))
faceid_node_right = node.nfn_forwarder.linklayer.faceidtable.get_or_create_faceid(
AddressInfo("rsu" + str(loop_variable + 1), 0))
node.nfn_forwarder.icnlayer.fib.add_fib_entry(
Name("/nL"), [faceid_node_left])
node.nfn_forwarder.icnlayer.fib.add_fib_entry(
Name("/nR"), [faceid_node_right])
loop_variable = +1
def _assign_named_functions_to_stationary_execution_nodes(self):
"""configure executables to the stationary nodes"""
for node in self._stationary_nodes:
for function in zip(self._named_functions.keys(),
self._named_functions.values()):
node.nfn_forwarder.icnlayer.cs.add_content_object(Content(
Name(function[0]), function[1]),
static=True)
def _setup_mobile_nodes(self):
"""configure the mobile nodes"""
for node in self._mobile_nodes:
node.forwarder = ICNForwarder(
0,
encoder=SimpleStringEncoder(),
routing=True,
interfaces=[
self._simulation_bus.add_interface(f"car{node.node_id}")
])
node.fetch = Fetch(
f"car{node.node_id}",
None,
255,
SimpleStringEncoder(),
interfaces=[
self._simulation_bus.add_interface(f"ftcar{node.node_id}")
])
node.mgmt_tool = MgmtClient(
node.forwarder.mgmt.mgmt_sock.getsockname()[1])
for stationary_node in self._stationary_nodes:
car_face_id = node.forwarder.linklayer.faceidtable.get_or_create_faceid(
AddressInfo(f"rsu{stationary_node.node_id}", 0))
self.to_rsu_faces[stationary_node.node_id][
node.node_id] = car_face_id
rsu_face_id = node.forwarder.linklayer.faceidtable.get_or_create_faceid(
AddressInfo(f"car{stationary_node.node_id}", 0))
self.to_car_faces[stationary_node.node_id][
node.node_id] = rsu_face_id
def _setup_simulation_network(self):
"""configure a network according to the configuration"""
self.logger.debug("Setup simulation network ...")
# setup stationary nodes
self._setup_stationary_nodes()
self.logger.debug("\t setup stationary nodes done")
# setup connections
self._setup_connections_for_stationary_nodes()
self.logger.debug("\t setup connections between stationary nodes done")
# assign functions to stationary nodes
self._assign_named_functions_to_stationary_execution_nodes()
self.logger.debug("\t assign named functions to stationary nodes done")
# setup mobile nodes
self._setup_mobile_nodes()
self.logger.debug("\t setup mobile nodes done")
# start node
self.start_nodes()
self.logger.debug("\t setup complete -> start nodes")
def reconnect_car(self, mobile_node_number, new_rsu_number):
if len(self._stationary_nodes) <= new_rsu_number or new_rsu_number < 0:
self.logger.error(
f"{time.time():.5f} --- Cannot reconnect mobile node with id {mobile_node_number} "
f"to stationary node with id {new_rsu_number}, not part of this simulation"
)
return
connected_rsu = self.connected_rsu[mobile_node_number]
self._mobile_nodes[
mobile_node_number].forwarder.icnlayer.fib.remove_fib_entry(
self._stationary_node_name_prefix)
self._mobile_nodes[
mobile_node_number].forwarder.icnlayer.fib.add_fib_entry(
self._stationary_node_name_prefix,
[self.to_rsu_faces[new_rsu_number][mobile_node_number]])
self._stationary_nodes[
connected_rsu].nfn_forwarder.icnlayer.fib.remove_fib_entry(
Name(f"/car/car{mobile_node_number}"))
self._stationary_nodes[
connected_rsu].nfn_forwarder.icnlayer.pit.remove_pit_entry_by_fid(
self.to_car_faces[connected_rsu][mobile_node_number])
self._stationary_nodes[
new_rsu_number].nfn_forwarder.icnlayer.fib.add_fib_entry(
Name(f"/car/car{mobile_node_number}"),
[self.to_car_faces[new_rsu_number][mobile_node_number]])
self.connected_rsu[mobile_node_number] = connected_rsu + \
self._heading_directions[mobile_node_number]
self._car_send_interest(
self._mobile_nodes[mobile_node_number], self._function_names[
self._mobile_node_to_computation[mobile_node_number]])
def _car_send_interest(self, mobile_node, name):
try:
mobile_node.fetch.fetch_data(
name, timeout=1
) # if trouble reduce timeout to 0.1. Parse result from log
except:
pass
def start_nodes(self):
# Starting nodes
for stationary_node in self._stationary_nodes:
stationary_node.nfn_forwarder.start_forwarder()
for mobile_node in self._mobile_nodes:
mobile_node.forwarder.start_forwarder()
self._simulation_bus.start_process()
def stop_nodes(self):
# stop nodes
if not self._is_running:
for stationary_node in self._stationary_nodes:
stationary_node.nfn_forwarder.stop_forwarder()
for mobile_node in self._mobile_nodes:
mobile_node.forwarder.stop_forwarder()
self._simulation_bus.stop_process()
else:
self.logger.error(
"Simulation not started yet -- cleaning resources is necessary!"
)
def run(self):
"""run the experiment, hand over the cars"""
self._is_running = True
self.connected_rsu = []
self.logger.debug("Start Simulation")
for i in range(0, len(self._mobile_nodes)):
self.connected_rsu.append(self._starting_points[i])
self._mobile_nodes[i].forwarder.icnlayer.fib.add_fib_entry(
self._stationary_node_name_prefix,
[self.to_rsu_faces[self.connected_rsu[i]][i]])
self._stationary_nodes[self.connected_rsu[
i]].nfn_forwarder.icnlayer.fib.add_fib_entry(
Name(f"car{i}"),
[self.to_car_faces[self.connected_rsu[i]][i]])
self._car_send_interest(
self._mobile_nodes[i],
self._function_names[self._mobile_node_to_computation[i]])
self.connection_time = [time.time()] * len(self._mobile_nodes)
steps = 5 * len(self._mobile_nodes)
while (self._is_running):
time_ns = time.time_ns()
for i in range(0, len(self._mobile_nodes)):
if time_ns - self.connection_time[i] > self._contact_time[i]:
#print(f"{time.time():.5f} -- " + "Car", i, "reconnects from", self.connected_rsu[i], "to", self.connected_rsu[i] + self._heading_directions[i])
self.logger.info("Car " + str(i) + " reconnects from " +
str(self.connected_rsu[i]) + " to " +
str(self.connected_rsu[i] +
self._heading_directions[i]))
new_rsu_number = self.connected_rsu[
i] + self._heading_directions[i]
self.reconnect_car(i, new_rsu_number)
self.connection_time[i] = time.time_ns()
steps -= 1
if steps <= 0:
self._is_running = False
self.logger.debug("Simulation Terminated!")
self.stop_nodes()
