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

Abstract

To 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 lightlyloaded 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.

Existing System

Proposed System

Architecture