A SURVEY ON ENERGY AWARE SCHEDULING IN GREEN CLOUD COMPUTING
Keywords:
Abstract
Large amount of data growing together needs more computational power, in turn it also needs more energy to work on. Energy optimization and Green Cloud computing are big demand of the time. Reduction of energy consumption leads to reduction of cost, less heat dissipation, less cooling cost, less CO2 emission, more battery time and more computing power for rest of applications. Energy aware schedulers are environment friendly and less error prone too. Many algorithms are developed to schedule resources in energy aware way, but they lack of real time task orientation, deadline-constraints and simultaneous energy consumption with reliability and system performance management. This paper deals with various problems and their solutions implemented or proposed for energy aware scheduling in IaaS cloud environment.
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