Journal
IEEE TRANSACTIONS ON CLOUD COMPUTING
Volume 5, Issue 1, Pages 15-27Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCC.2015.2396059
Keywords
Load balancing; application scaling; idle servers; server consolidation; energy proportional systems
Categories
Funding
- Direct For Computer & Info Scie & Enginr
- Division of Computing and Communication Foundations [1525943] Funding Source: National Science Foundation
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available
Share Paper
