def loadbalance(self):
"""
Run the loadbalancer on the cluster and migrate vm accordingly.
See cxm.loadbalancer module for details about algorithm.
"""
if not core.cfg['QUIET']: print "Recording metrics..."
current_state = {}
vm_metrics = {}
node_metrics = {}
for node in self.get_nodes():
node.metrics.init_cache(
) # Early call to increase timeslice used to compute rates
vms = node.get_vms()
# Get current cluster state
current_state[node.get_hostname()] = [vm.name for vm in vms]
# Get node's metrics
node_metrics[node.get_hostname()] = {
'ram': node.metrics.get_available_ram()
}
# Get VM's metrics
cpu = node.metrics.get_vms_cpu_usage()
io = node.metrics.get_vms_disk_io_rate()
for vm in vms:
vm_metrics[vm.name] = {}
vm_metrics[vm.name]['ram'] = vm.get_ram()
vm_metrics[vm.name]['cpu'] = cpu[vm.name]
vm_metrics[
vm.name]['io'] = io[vm.name]['Read'] + io[vm.name]['Write']
# Initialize loadbalancer
lb = loadbalancer.LoadBalancer(current_state)
lb.set_metrics(vm_metrics, node_metrics)
solution = lb.get_solution()
if not solution:
print "No better solution found with a minimal gain of %s%%." % core.cfg[
'LB_MIN_GAIN']
else:
# Ask the user for a confirmation
if not core.cfg['QUIET']:
print "Here is the proposed migration plan:"
for path in solution.get_path():
print " -> Migrate", path['vm'], "from", path[
'src'], "to", path['dst']
if (raw_input("Proceed ? [y/N]:").upper() != "Y"):
print "Aborded by user."
return
# Do migrations to put the cluster in the selected state
for path in solution.get_path():
if not core.cfg['QUIET']:
print "Migrating", path['vm'], "from", path[
'src'], "to", path['dst'], "..."
self.migrate(path['vm'], path['src'], path['dst'])
def loadbalance(self):
"""
Run the loadbalancer on the cluster and migrate vm accordingly.
See cxm.loadbalancer module for details about algorithm.
"""
if not core.cfg["QUIET"]:
print "Recording metrics..."
current_state = {}
vm_metrics = {}
node_metrics = {}
for node in self.get_nodes():
node.metrics.init_cache() # Early call to increase timeslice used to compute rates
vms = node.get_vms()
# Get current cluster state
current_state[node.get_hostname()] = [vm.name for vm in vms]
# Get node's metrics
node_metrics[node.get_hostname()] = {"ram": node.metrics.get_available_ram()}
# Get VM's metrics
cpu = node.metrics.get_vms_cpu_usage()
io = node.metrics.get_vms_disk_io_rate()
for vm in vms:
vm_metrics[vm.name] = {}
vm_metrics[vm.name]["ram"] = vm.get_ram()
vm_metrics[vm.name]["cpu"] = cpu[vm.name]
vm_metrics[vm.name]["io"] = io[vm.name]["Read"] + io[vm.name]["Write"]
# Initialize loadbalancer
lb = loadbalancer.LoadBalancer(current_state)
lb.set_metrics(vm_metrics, node_metrics)
solution = lb.get_solution()
if not solution:
print "No better solution found with a minimal gain of %s%%." % core.cfg["LB_MIN_GAIN"]
else:
# Ask the user for a confirmation
if not core.cfg["QUIET"]:
print "Here is the proposed migration plan:"
for path in solution.get_path():
print " -> Migrate", path["vm"], "from", path["src"], "to", path["dst"]
if raw_input("Proceed ? [y/N]:").upper() != "Y":
print "Aborded by user."
return
# Do migrations to put the cluster in the selected state
for path in solution.get_path():
if not core.cfg["QUIET"]:
print "Migrating", path["vm"], "from", path["src"], "to", path["dst"], "..."
self.migrate(path["vm"], path["src"], path["dst"])
def emergency_eject(self, ejected_node):
"""Migrate all running VMs on ejected_node to the others nodes.
Use best-fit decreasing algorithm to resolve bin packing problem.
Need Further optimizations when cluster is nearly full.
"""
# Get nodes
pool = self.get_nodes()
pool.remove(ejected_node)
# Sort VMs to be ejected by used ram
vms = ejected_node.get_vms()
vms.sort(key=lambda x: x.get_ram(), reverse=True)
failed = list()
for vm in vms:
selected_node = None
# Sort nodes by free ram
pool.sort(key=lambda x: x.metrics.get_free_ram())
for node in pool:
if node.metrics.get_free_ram() >= vm.get_ram():
selected_node = node
break # Select first node with enough space
if selected_node is None:
failed.append(vm) # Not enough room for this one
continue # Next !
if not core.cfg["QUIET"]:
print "Migrating", vm.name, "to", selected_node.get_hostname()
self.migrate(vm.name, ejected_node.get_hostname(), selected_node.get_hostname())
if len(failed) > 0:
raise ClusterNodeError(
ejected_node.get_hostname(),
ClusterNodeError.NOT_ENOUGH_RAM,
"Cannot migrate " + ", ".join([vm.name for vm in failed]),
)
def emergency_eject(self, ejected_node):
"""Migrate all running VMs on ejected_node to the others nodes.
Use best-fit decreasing algorithm to resolve bin packing problem.
Need Further optimizations when cluster is nearly full.
"""
# Get nodes
pool = self.get_nodes()
pool.remove(ejected_node)
# Sort VMs to be ejected by used ram
vms = ejected_node.get_vms()
vms.sort(key=lambda x: x.get_ram(), reverse=True)
failed = list()
for vm in vms:
selected_node = None
# Sort nodes by free ram
pool.sort(key=lambda x: x.metrics.get_free_ram())
for node in pool:
if node.metrics.get_free_ram() >= vm.get_ram():
selected_node = node
break # Select first node with enough space
if selected_node is None:
failed.append(vm) # Not enough room for this one
continue # Next !
if not core.cfg['QUIET']:
print "Migrating", vm.name, "to", selected_node.get_hostname()
self.migrate(vm.name, ejected_node.get_hostname(),
selected_node.get_hostname())
if len(failed) > 0:
raise ClusterNodeError(
ejected_node.get_hostname(), ClusterNodeError.NOT_ENOUGH_RAM,
"Cannot migrate " + ", ".join([vm.name for vm in failed]))
