def __init__(self, cache_size, min_obj_size, max_obj_size):
# L1 caches objects that have been seen exactly once recently
# L2 caches objects that have been seen at least twice recently
# the top parts of L1 and L2 contain the objects that are currently cached
# we only need the top and bottom parts of lists L1 and L2
self._top1 = OrderedDict()
self._bottom1 = OrderedDict()
self._top2 = OrderedDict()
self._bottom2 = OrderedDict()
# cache_size in bytes
self._max_size = cache_size
# used_size = top1_size + top2_size
self._used_size = 0
self._top1_size = 0
self._bottom1_size = 0
self._bottom2_size = 0
# average object size in bytes
#self._avg_obj_size = (max_obj_size + min_obj_size) / 2
# cache specific parameter: target size for top1 (as fraction of cache size)
self._p = 0.
# in ARC cache p is incremented (or decremented) by 1 and p in {0, 1, ..., c} where c = cache size in pages;
# since here p in {0, ..., 1}, p must be incremented (or decremented) by 1/c, but instead of cache size in
# pages we use cache size in avg_objects
#self._step = self._avg_obj_size / cache_size
# stats
self.stats = CacheStats.CacheStats("ARC", cache_size)
self.daily_stats = CacheStats.DailyCacheStats(cache_size)
def __init__(self, cache_size, min_obj_size, max_obj_size):
"""
cache_size in bytes.
"""
self._max_size = cache_size
self._used_size = 0
# a dict that preserves the order of inserts
self._cached_objects = OrderedDict()
self.stats = CacheStats.CacheStats("Fifo", cache_size)
self.daily_stats = CacheStats.DailyCacheStats(cache_size)
def __init__(self, cache_size, min_obj_size, max_obj_size):
"""
cache_size in bytes.
"""
self._max_size = cache_size
self._used_size = 0
self._cached_objects = RandomChoiceDict()
self.stats = CacheStats.CacheStats("Fifo", cache_size)
self.daily_stats = CacheStats.DailyCacheStats(cache_size)
def __init__(self, cache_size, min_obj_size, max_obj_size):
self._max_size = cache_size
self._used_size = 0
# dictionary: obj_id -> object with last and next caching time
self._cached_objects = {}
# AVL tree: next_time -> object with last and next caching time
self._tree = AVLTree()
self._oldest_obj_id = None
self._freshest_obj_id = None
self.stats = CacheStats.CacheStats("Belady", cache_size)
self.daily_stats = CacheStats.DailyCacheStats(cache_size)
def __init__(self, cache_size, min_obj_size, max_obj_size):
"""
cache_size in bytes.
"""
self._max_size = cache_size
self._used_size = 0
# obj_id -> last_atime
self._cached_objects = {}
self._oldest_obj_id = None
self._freshest_obj_id = None
self.stats = CacheStats.CacheStats("LRU2ND", cache_size)
self.daily_stats = CacheStats.DailyCacheStats(cache_size)
def __init__(self, cache_size, min_obj_size, max_obj_size):
"""
cache_size in bytes.
"""
self._max_size = cache_size
self.stats = CacheStats.CacheStats("LRU", cache_size)
self.daily_stats = CacheStats.DailyCacheStats(cache_size)
ts = int(time.time())
get_size = int(0.333333 * cache_size)
put_size = int(0.666666 * cache_size)
self.get_lru = LRUCache(get_size, 0, 0)
self.put_fifo = LRUCache(put_size, 0, 0)
def __init__(self, cache):
self._cache = cache
self.stats = CacheStats.StorageStats()
self.daily_stats = CacheStats.StorageStats()