TY - CHAP
T1 - An algorithm to reduce the communication traffic for multi-word searches in a distributed hash table
AU - Sei, Yuichi
AU - Matsuzaki, Kazutaka
AU - Honiden, Shinichi
PY - 2006
Y1 - 2006
N2 - In distributed hash tables, much communication traffic comes from multi-word searches. The aim of this work is to reduce the amount of traffic by using a bloom filter, which is a space-efficient probabilistic data structure used to test whether or not an element is a member of a set. However, bloom filters have a limited role if several sets have different numbers of elements. In the proposed method, extra data storage is generated when contents' keys are registered in a distributed hash table system. Accordingly, we propose a "divided bloom filter" to solve the problem of a normal bloom filter. Using the divided bloom filter, we aim to reduce both the amount of communication traffic and the amount of data storage.
AB - In distributed hash tables, much communication traffic comes from multi-word searches. The aim of this work is to reduce the amount of traffic by using a bloom filter, which is a space-efficient probabilistic data structure used to test whether or not an element is a member of a set. However, bloom filters have a limited role if several sets have different numbers of elements. In the proposed method, extra data storage is generated when contents' keys are registered in a distributed hash table system. Accordingly, we propose a "divided bloom filter" to solve the problem of a normal bloom filter. Using the divided bloom filter, we aim to reduce both the amount of communication traffic and the amount of data storage.
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U2 - 10.1007/978-0-387-34735-6_13
DO - 10.1007/978-0-387-34735-6_13
M3 - Chapter
AN - SCOPUS:33845643139
SN - 0387346333
SN - 9780387346335
T3 - IFIP International Federation for Information Processing
SP - 115
EP - 129
BT - Fourth IFIP International Conference on Theoretical Computer Science- TCS 2006
A2 - Navarro, Gonzalo
A2 - Bertossi, Leopolo
A2 - Kohayakawa, Yoshiharu
ER -