


Volume 20 No 12 (2022)
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Energy Aware Linear Programming Model for Task Scheduling in Cloud Computing
G. Sreenivasulu, IlangoParamasivam
Abstract
One of the advantages of cloud computing is its ability to perform the tasks in the data centers.
However, the energy consumption of these facilities is a major issue. This paper presents a linear
programming model that takes into account the matrix formation to allocate the tasks to the
servers. The proposed model achieves the efficiency of reducing the data center's energy
consumption by implementing the greedy approach. The paper presents a linear model that takes
into account the matrix formation to allocate the tasks to the servers. It achieves the efficiency of
reducing the data center's energy consumption by implementing the greedy approach
Keywords
Task Allocation, Cloud Computing, Energy, Linear approach, Data Center
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