Title :
A load-balancing structured store model on P2P network
Author :
Ying, Gao ; Jiang, Zhan
Author_Institution :
Sch. of Inf., Capital Univ. of Econ. & Bus., Beijing, China
Abstract :
This paper proposed a structured p2p model called balance-peer, introduce a method to partition the data rang without any global information on the load to. Our Balance-peer model is used to realize a partition-by-keyword indexing service based on DHT with each node in the system responsible for part of the keywords of the inverted index list. In this paper we use the concept of data partition in parallel databases to realize the load balance in P2P systems. At last this paper has the performance test. The result convinces us that our storage balance strategy is valid.
Keywords :
file organisation; indexing; peer-to-peer computing; resource allocation; DHT; P2P network; P2P systems; balance-peer; data partition; global information; inverted index list; load-balancing structured store model; parallel databases; partition-by-keyword indexing service; storage balance strategy; Algorithm design and analysis; Database systems; Design methodology; Indexing; Load management; Load modeling; Memory management; Partitioning algorithms; Query processing; System testing; P2P data management; data indexing; data partition; load balance;
Conference_Titel :
Computer Engineering and Technology (ICCET), 2010 2nd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6347-3
DOI :
10.1109/ICCET.2010.5485850
