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This is the repository of a Forgetful Bloom Filter (FBF) data structure. FBF is a data structure built on Bloom filter. But it has the following two additional properties: i) It maintains a moving window to compactly represent only recent elements ii) It scales up/down seamlessly thus maintaining the false positive probability below an application provided target false positive probability.
This is a Distributed Key-Value(KV) store developed in C++ based on the design principles of Apache Casasndra. It follows a client-server architecture. The server can be scaled horizontally by adding multiple nodes/servers. The client supports basic CRUD operations on the data structures defined on the server. Communication among the nodes in the distributed system is via message passing. The only data model the server supports for now is a fast, correct, idempotent, distributed counters. It can be used for keeping count of events, system objects, etc.,.
Public repository.
Mirror of Apache Cassandra