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Energy-Aware Load Balancing and Application Scaling for the Cloud Ecosystem - 2018

Research Area:  Cloud Computing

Abstract:

In this paper, we introduce an energy-aware operation model used for load balancing and application scaling on a cloud. The basic philosophy of our approach is defining an energy-optimal operation regime and attempting to maximize the number of servers operating in this regime. Idle and lightly-loaded servers are switched to one of the sleep states to save energy. The load balancing and scaling algorithms also exploit some of the most desirable features of server consolidation mechanisms discussed in the literature.

Author(s) Name:  Ashkan Paya and Dan C. Marinescu

Journal name:  IEEE Transactions on Cloud Computing

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/TCC.2015.2396059

Volume Information:  Volume: 5, Issue: 1, Jan.-March 1 2017,Page(s): 15 - 27