DocumentCode
3343621
Title
Mixed load balance strategy to improve performance efficacy for three tiers Peer-to-Peer network topology
Author
Chan, Y.-T.F. ; Shoniregun, C.A. ; Akmayeva, G.A.
Author_Institution
Wessex Inst. of Technol., Ashurst, UK
fYear
2009
fDate
9-12 Nov. 2009
Firstpage
1
Lastpage
7
Abstract
Nowadays, due to the advantage of technology and the Internet popularization, Peer-to-Peer (P2P) computing technology has been gradually becoming the mainstream on the distributed system applications. However, the main purpose of P2P computing technology is to process the large-scale task through the distributed system computer cooperatively. Therefore, how to efficiently assign tasks to every nodes and how to make tasks to achieve the load balance on each node of the system are a worthy discussion issue. In this research paper, we proposed the Load Balance Min-Min (LBMM) schedule algorithm to process the task assignment in the three tiers of P2P network topology architecture. Through setting up the threshold value, every task which needs to be executed can be quickly assigned on the suitable nodes. In this method, it can not only improve the task loading on each node but also choose the most suitable node by the task characteristic in order to provide the Quality Assurance (QA) on the three tiers of P2P network topology of the load balance and the performance efficacy.
Keywords
computer network performance evaluation; peer-to-peer computing; resource allocation; telecommunication network topology; Internet; distributed system computer; load balance min-min schedule algorithm; mixed load balance strategy; network topology; performance efficacy; quality assurance; task assignment process; three tiers peer-to-peer computing; Application software; Computers; Distributed computing; Internet; Large-scale systems; Network topology; Peer to peer computing; Processor scheduling; Quality assurance; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
Conference_Location
London
Print_ISBN
978-1-4244-5647-5
Type
conf
DOI
10.1109/ICITST.2009.5402621
Filename
5402621
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