作者: Xiaodong Dong , Xiaobo Zhou , Laiping Zhao , Keqiu Li
DOI: 10.1109/ISPA-BDCLOUD-SUSTAINCOM-SOCIALCOM48970.2019.00019
关键词: Computer science 、 Resource (project management) 、 Nash equilibrium 、 Revenue 、 Cloud computing 、 Stochastic game 、 Environmental economics 、 Competition (economics) 、 Key (cryptography) 、 Bandwidth (computing)
摘要: In the era of cloud computing, Content Providers (CPs) rent various resources, e.g., storage, and network bandwidth, from Cloud Service Provider (CSP) to deploy their globally distributed services. Since multiple CPs may provide same services compete with each other maximize revenue, business policies they adopt become very important, especially when budget CP is limited different. However, it difficult capture competition characteristics find optimal CPs. this paper, we investigate competitive CPs, where aims its revenue by optimally allocating resources including storage bandwidth. First, formulate between as a Colonel Blotto game elastic payoffs, in which payoff region varies allocated it. Then, prove that Nash Equilibriums are allocation for We validate our method real-world CSP's statistics. The results show plays key role maximizing CP. It also suggested less should concentrate resource on few specific regions.