Title
Resource demand prediction-based grid resource transaction network model in grid computing environment
Abstract
This paper reviews existing grid resource transaction models in grid computing environment and proposes an efficient market mechanism-based grid resource transaction model. This model predicts a future grid resource demand of grid users and suggests a reasonable transaction price of each resource to customers and resource providers. The suggestion of transaction price infers the more transactions between customers and providers and reduces a response time after ordering resource. In order to improve accuracy of transaction price prediction, microeconomics-based statistics approach is applied to this grid resource transaction model. For performance evaluation, this paper measures resource demand response time, and number of transactions. This model works on the less 72.39% of response time and the more 162.56% of the number of transactions than those of single auction model and double auction model.
Year
DOI
Venue
2006
10.1007/11751649_1
ICCSA (5)
Keywords
Field
DocType
grid user,response time,resource provider,resource demand prediction-based grid,grid computing environment,paper measures resource demand,grid resource transaction model,resource transaction network model,model work,double auction model,future grid resource demand,mechanism-based grid resource transaction,efficient markets,network model,double auction
Transaction processing,Grid computing,Computer science,Online transaction processing,Operations research,Demand response,Resource allocation,Database transaction,Distributed transaction,Grid
Conference
Volume
ISSN
ISBN
3984
0302-9743
3-540-34079-3
Citations 
PageRank 
References 
0
0.34
5
Authors
2
Name
Order
Citations
PageRank
In Kee Kim1316.95
Jong Sik Lee27418.95