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

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

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-load...

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Veröffentlicht in:IEEE transactions on cloud computing 2017-01, Vol.5 (1), p.15-27
Hauptverfasser: Paya, Ashkan, Marinescu, Dan C.
Format: Artikel
Sprache:eng
Schlagworte:
application scaling
Cloud computing
energy proportional systems
idle servers
Load balancing
Load management
Load modeling
Program processors
Resource management
server consolidation
Servers
Switches
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Beschreibung
Zusammenfassung: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.
ISSN:2168-7161
2168-7161
2372-0018
DOI:10.1109/TCC.2015.2396059