Abstract :
Cloud computing´s aim is to provide prompt, reliable, diverse, and yet cost-effective Internet services. To achieve this goal, existing work has considered traffic-aware resource provisioning to reduce cloud energy costs. However, much room remains for achieving a fine-grained traffic-awareness. In this article, the authors examine important cloud traffic characteristics and discuss optimization solutions to reduce energy costs while maintaining service quality. Their solution improves traffic-awareness and efficiently reduces energy costs for distributed clouds with dynamic and diverse traffic.
Keywords :
Internet; cloud computing; cost reduction; optimisation; quality of service; traffic engineering computing; cloud computing; cloud energy cost reduction; cloud traffic characteristics; cost effective Internet services; distributed cloud; diverse traffic; dynamic traffic; optimisation; service quality maintenance; traffic aware resource provisioning; traffic awareness; Cloud computing; Data centers; Delays; Distributed processing; Energy efficiency; Fault tolerant systems; Load management; Optimization; Queueing analysis; Resouce management; cloud; datacenter; delay-sensitive jobs; delay-tolerant jobs; dynamic traffic; energy efficiency; load shifting; optimization; queue; server provisioning;