Abstract
Energy-aware allocation and scheduling are major concerns for the ICT industry. Today, cloud computing has emerged as an assurance to curb the energy consumption problem with the support of virtualization and multicore processors. This paper proposes an Energy-aware Scheduling Model (ESM) that allocates and schedules the deadline-constrained heterogeneous tasks to energy conscious nodes exploiting the capability of virtualized cloud environment. The energy-conscious task allocation decisions are taken dynamically and thereby, high performance and desired QoS in terms of reduced overall system execution time are achieved. The proposed model was evaluated and experimentally compared with two other techniques by setting up a cloud environment. The results indicate that ESM achieves 69 % of energy savings and high performance in terms of deadline fulfillment.
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