DocumentCode :
3187531
Title :
An Optimized Search Algorithm for Resource Discovery in Peer to Peer Grid
Author :
Noghabi, Hossein Boroumand ; Ismail, Abdul Samad ; Ahmed, Aboamama Atahar ; Khodaei, Masoumeh
Author_Institution :
Fac. of Comput. Sci. & Inf. Syst., Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2011
fDate :
12-14 Dec. 2011
Firstpage :
21
Lastpage :
24
Abstract :
One of the challenges for resource discovery in unstructured peer to peer grid is the minimizing of network traffic that is produced by query messages which are broadcasted to other nodes to find appropriate resources in the grid. These methods do not work well because each specific query generates a large amount of network traffic, and network is quickly saturated by the query messages. This study is proposed a genetic algorithm to find the required resources in peer to peer grid. This method prevents the massive flooding of the network traffic and decreasing query messages by using the restricted and optimized flooding. We compare our method with traditional approaches. Obtained results show that proposed method decreases the network traffic.
Keywords :
genetic algorithms; grid computing; peer-to-peer computing; query processing; resource allocation; search problems; telecommunication traffic; genetic algorithm; network traffic flooding; network traffic minimization; optimized flooding; optimized search algorithm; peer to peer grid; query messages; resource discovery; restricted flooding; Biological cells; Genetic algorithms; Genetics; Internet; Peer to peer computing; Software; Telecommunication traffic; Genetic Algorithm; Grid; Peer to Peer; Resource Discovery;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics and Computational Intelligence (ICI), 2011 First International Conference on
Conference_Location :
Bandung
Print_ISBN :
978-1-4673-0091-9
Type :
conf
DOI :
10.1109/ICI.2011.14
Filename :
6141644
Link To Document :
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