Haitao Yuan, Jing Bi, et al.
IEEE T-ASE
Multiple heterogeneous applications concurrently run in distributed cloud data centers (CDCs) for better performance and lower cost. There is a highly challenging problem of how to minimize the total cost of a CDCs provider in a market where the bandwidth and energy cost show geographical diversity. To solve the problem, this paper first proposes a revenue-based workload admission control method to judiciously admit requests by considering factors including priority, revenue and the expected response time. Then, this paper presents a cost-aware workload scheduling method to jointly optimize the number of active servers in each CDC, and the selection of Internet service providers for the CDCs provider. Finally, trace-driven simulation results demonstrate that the proposed methods can greatly reduce the total cost and increase the throughput of the CDCs provider in comparison to existing methods.
Haitao Yuan, Jing Bi, et al.
IEEE T-ASE
Jia Zhang, Ravi Madduri, et al.
ICWS 2011
Yanhua Du, Wei Tan, et al.
IEEE T-ASE
Wei Tan, Zhong Tian, et al.
ICWS 2006