Energy-Aware Load Balancing And Application Scaling For The Cloud Ecosystem

Keywords

application scaling; energy proportional systems; idle servers; Load balancing; server consolidation

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.

Publication Date

1-1-2017

Publication Title

IEEE Transactions on Cloud Computing

Volume

5

Issue

1

Number of Pages

15-27

Document Type

Article

Personal Identifier

scopus

DOI Link

https://doi.org/10.1109/TCC.2015.2396059

Socpus ID

85027697403 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85027697403

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