Title :
Competitive Cloud Resource Procurements via Cloud Brokerage
Author :
Xin Jin ; Yu-Kwong Kwok ; Yong Yan
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
Abstract :
In current IaaS cloud markets, tenant consumers non-cooperatively compete for cloud resources via demand quantities, and the service quality is offered in a best effort manner. To better exploit tenant demand correlation, cloud brokerage services provide cloud resource multiplexing so as to earn profits by receiving volume discounts from cloud providers. A fundamental but daunting problem facing a tenant consumer is competitive resource procurements via cloud brokerage. In this paper, we investigate this problem via non-cooperative game modeling. In the static game, to maximize the experienced surplus, tenants judiciously select optimal demand responses given pricing strategies of cloud brokers and complete information of the other tenants´ demands. We also derive Nash equilibrium of the non-cooperative game for competitive resource procurements. Performance evaluation on Nash equilibrium reveals insightful observations for both theoretical analysis and practical cloud resource procurements scheme design.
Keywords :
cloud computing; game theory; IaaS cloud markets; Nash equilibrium; cloud brokerage services; cloud providers; cloud resource multiplexing; competitive cloud resource procurements; demand quantities; noncooperative game modeling; optimal demand responses; pricing strategies; service quality; static game; surplus; tenant consumers; tenant demand correlation; Cloud computing; Clouds; Delays; Games; Nash equilibrium; Pricing; Procurement; Cloud computing; distributed learning; game theory; pricing scheme design; resource allocation;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
DOI :
10.1109/CloudCom.2013.92