DocumentCode
2250498
Title
Autonomous adaptive agents for market-based resource allocation of cloud computing
Author
Chen, Yee-Ming ; Yeh, Hsin-mei
Author_Institution
Dept. of Ind. Eng. & Manage., Yuan Ze Univ., Chungli, Taiwan
Volume
6
fYear
2010
fDate
11-14 July 2010
Firstpage
2760
Lastpage
2764
Abstract
The application of market mechanisms for the resource allocation of cloud computing services is a demanding task, which requires bridging economic and associated software agent technical challenges. Dynamic changes in the availability of resources over time makes the treatment more complicated. Here we employ an allocation mechanism and pricing mechanism as a market-based model to allocate resources in a cloud computing environment. Buyer and service provider agents determine their bid and ask prices using k-pricing which sets the transaction price individually for each matched buyer-service provider pair. These mechanisms are adaptively to meet the customers/ service providers requirement and constraints set by bundled services.
Keywords
Web services; pricing; resource allocation; software agents; autonomous adaptive agent; cloud computing services; k-pricing; market mechanism; market-based model; market-based resource allocation; software agent technical challenges; Biological system modeling; Cloud computing; Computational modeling; Machine learning; Pricing; Quality of service; Resource management; Bundled service; Resource allocation; Software agent;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580784
Filename
5580784
Link To Document