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Theoretical Analysis for Scale-down-Aware Service Allocation in Cloud Storage Systems
2013
International Journal of Electrical and Computer Engineering (IJECE)
Servcie allocation algorithms have been drawing popularity in cloud computing research community. There has been lots of research on improvingservice allocation schemes for high utilization, latency reduction and VM migration enfficient, but few work focus on energy consumption affected by instance placement in data centers. In this paper we propose an algorithm in which to maximize the number of freed-up machines in data centers, machines that host purely scale-down instances, which are
doi:10.11591/ijece.v3i1.1792
fatcat:qllic7icybdtpmdxmfi4narmxa