Energy analysis of symbiotic organisms search optimization based task scheduling algorithm

Cloud computing is a technique of utilizing resources over internet to achieve a certain goal. With massive increase in the number of users and their variable demand of different services, hundreds to thousands of servers have to be deployed. Equally massive cooling systems are required to keep the servers working under normal temperatures. This leads to high CO2 emission and following current trends it is only expected to rise in the coming years. Thus cloud computing services are directly or indirectly contributing to global warming. Green computing is the solution to this problem in which same amount of weightage is given to makespan optimization as to the energy consumption and greenhouse gas emissions of a machine. In this paper, we perform energy analysis of a makespan-efficient algorithm Discrete Symbiotic organisms search (DSOS) and based on the results, we conclude that this algorithm can be made more energy-efficient which is also our area of future research.