Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructured data. The reliability and availability of that fortune of data become important factors. So, distributed storage system is essential for many large-scale organizations. It is challenging that how to access the distributed data from a place. In this paper, a structure of the Bloom filter array (BFA) is proposed to get time and space efficiency in distributed storage system. The proposed structure that can efficiently lookup the queries will be discussed from the algorithm perspective and then evaluate BFA through simulations
Abstract—An efficient and distributed scheme for file mapping or file lookup is critical in decentra...
Bloom filters are probabilistic data structures commonly used for approximate membership problems in...
Query processing in distributed database system requires the transmission of data between computers ...
Organizations in every market segment require their storage utilization to optimize and cost-effecti...
Bloom filters make use of a “probabilistic ” hash-coding method to reduce the amount of space requir...
A Bloom Filter is a simple space-efficient randomized data structure for representing a set in order...
In distributed hash tables, much communication traffic comes from multi-word searches. The aim of th...
Abstract. In distributed hash tables, much communication traffic comes from multi-word searches. The...
Set is widely used as a kind of basic data structure. However, when it is used for large scale data ...
As storage systems grow larger and more complex, the traditional block-based file systems cannot sat...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
An efficient and distributed scheme for file mapping or file lookup is critical in decentralizing me...
Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructu...
the Counting Bloom Filter (CBF) is useful for real time applications where the time and space effici...
We have examined the tradeoffs in applying regular and Compressed Bloom filters to the name query pr...
Abstract—An efficient and distributed scheme for file mapping or file lookup is critical in decentra...
Bloom filters are probabilistic data structures commonly used for approximate membership problems in...
Query processing in distributed database system requires the transmission of data between computers ...
Organizations in every market segment require their storage utilization to optimize and cost-effecti...
Bloom filters make use of a “probabilistic ” hash-coding method to reduce the amount of space requir...
A Bloom Filter is a simple space-efficient randomized data structure for representing a set in order...
In distributed hash tables, much communication traffic comes from multi-word searches. The aim of th...
Abstract. In distributed hash tables, much communication traffic comes from multi-word searches. The...
Set is widely used as a kind of basic data structure. However, when it is used for large scale data ...
As storage systems grow larger and more complex, the traditional block-based file systems cannot sat...
A Bloom Filter is an efficient randomized data structure for membership queries on a set with a cert...
An efficient and distributed scheme for file mapping or file lookup is critical in decentralizing me...
Today’s storage systems have a major issue for the long-term storage of massive amounts of unstructu...
the Counting Bloom Filter (CBF) is useful for real time applications where the time and space effici...
We have examined the tradeoffs in applying regular and Compressed Bloom filters to the name query pr...
Abstract—An efficient and distributed scheme for file mapping or file lookup is critical in decentra...
Bloom filters are probabilistic data structures commonly used for approximate membership problems in...
Query processing in distributed database system requires the transmission of data between computers ...