Green Cloud Job Scheduling and Load Balancing Using Hybrid Biogeography Based Optimization and Genetic Algorithm: A Proposed Approach

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Abstract

In the present era, technology plays a very significant role in human life. It makes human life easier and has become a crucial part of it. Like air, water and food, technology has become a necessity for human survival. Specifically, technologies related to the areas of computer science and the internet play a very wide role in day-to-day life. Everyday new internet technologies and computing devices are being launched into the market and they define the working style of human beings. With this ever-increasing demand and usage of technology; the amount of carbon footprint is also increasing as a byproduct of technology. The increased amount of carbon footprint accounts for considerable global warming. Energy requirement for the huge number of computing resources is also huge and so is the magnitude of heat produced resulting in global warming. Thus, there is an urgent need of a transition towards green computing. IT Companies/industries should integrate green agenda in their products. Green IT is not a technology itself but it is a transition from conventional computing to green computing. This transition may help to curb negative effects on the environment.

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Sharma, Y., & Lakra, S. (2020). Green Cloud Job Scheduling and Load Balancing Using Hybrid Biogeography Based Optimization and Genetic Algorithm: A Proposed Approach. In Lecture Notes in Networks and Systems (Vol. 106, pp. 185–195). Springer. https://doi.org/10.1007/978-981-15-2329-8_19

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