The drastic growth in cloud computing model has led to establishment of large scale virtualized data centers. Data centers consume enormous amount of electrical energy resulting in high operating costs and carbon-di-oxide emissions. The energy efficiency issues of data centers are of major importance as costs of power and cooling make up a significant part of their operational costs. Energy efficiency is an important issue. It is needful to reach a green solution to address all trends that affects Cloud energy consumption. There are number of ways of reducing power usage in data centers. There are four approaches of increasing energy efficiency, hardware level energy optimization, energy aware scheduling in grid systems, server consolidation by means of virtualization and power minimization. Among these techniques server consolidation is one of the main applications of virtualization technology in data centers. In this research work introduces Power Aware Load Prediction algorithm (PALP) for server consolidation providing efficient energy usage in Cloud computing making it greener is proposed. The virtualization has benefits of reducing total cost, increasing availability and agility to use this feature in Cloud computing environment. The PALP algorithm predicts the load in the host and act accordingly to minimize resource usage. The load prediction method is proposed which performs the classification of host overloading and under loading. This system improves energy efficiency rate and reduces power usage using PALP algorithm. The average energy efficiency rate is 87.93 kWh and time complexity is O (n) MHz which is considerably appreciable compared of existing analyzed algorithms.

PALP algorithm, Green cloud, virtualization, dynamic provisioning, energy efficiency

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