Title :
Bandwidth-Efficient Continuous Query Processing over DHTs
Author_Institution :
Dept. of CSSE, Seattle Univ., Seattle, WA
Abstract :
In this paper, we propose novel techniques to reduce bandwidth cost in a continuous keyword query processing system that is based on a distributed hash table. We argue that query indexing and document announcement are of significant importance towards this goal. Our detailed simulations show that our proposed techniques, combined together, effectively and greatly reduce bandwidth cost.
Keywords :
file organisation; indexing; query processing; bandwidth cost reduction; continuous keyword query processing system; distributed hash table; document announcement; query indexing; Bandwidth; Costs; Frequency; IEEE news; Indexing; Intrusion detection; Parallel processing; Peer to peer computing; Query processing; Statistics;
Conference_Titel :
Parallel Processing, 2008. ICPP '08. 37th International Conference on
Conference_Location :
Portland, OR
Print_ISBN :
978-0-7695-3374-2
Electronic_ISBN :
0190-3918
DOI :
10.1109/ICPP.2008.11