DocumentCode :
2266514
Title :
Cloud SLA negotiation for energy saving — A particle swarm optimization approach
Author :
Copil, Georgiana ; Moldovan, Daniel ; Salomie, Ioan ; Cioara, Tudor ; Anghel, Ionut ; Borza, Diana
Author_Institution :
Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear :
2012
fDate :
Aug. 30 2012-Sept. 1 2012
Firstpage :
289
Lastpage :
296
Abstract :
The necessity of balancing the obtained performance with the energy consumed is an emerging ambition for cloud computing research. Performance in cloud computing is defined through Service Level Agreement contracts between the cloud provider and cloud customer, being a projection of the customer´s perspective on the service offered by the cloud provider. Although more and more research efforts go into standardizing Service Level Agreement in cloud systems, the area is still at its early ages. This paper proposes a Service Level Agreement negotiation protocol based on particle swarm optimization techniques, for obtaining a balance between the energy consumed and performance offered in the cloud. The two parties of the defined negotiation protocol are the performance-oriented cloud customer and the energy-oriented cloud provider. The agreement resulted from the negotiation process satisfies the two major negotiation properties we aim for: closeness to Pareto optimality and high social welfare.
Keywords :
Pareto optimisation; cloud computing; particle swarm optimisation; Pareto optimality; cloud SLA negotiation; cloud computing; energy saving; energy-oriented cloud provider; particle swarm optimization; performance-oriented cloud customer; service level agreement contract; service level agreement negotiation protocol; social welfare; Cloud computing; Contracts; Particle swarm optimization; Proposals; Protocols; Quality of service; Resource management; QoS; SLA; cloud computing; energy awareness; negotiation; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computer Communication and Processing (ICCP), 2012 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4673-2953-8
Type :
conf
DOI :
10.1109/ICCP.2012.6356201
Filename :
6356201
Link To Document :
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