Cloud computing is the hottest topic in today’s world and is being used by most of the information technology companies due to its benefits incost saving and ease of use. It is a dynamic, scalable, and pay-per-use distributed computing model. The cloud computing is aims to give accessto remote and geographically distributed resources. Scheduling the job from one data center to other data center or from one region of cloud toother region is truly a testing in cloud environment. However, when data are shifted from one data center to other data center, huge amount ofcarbon dioxide (CO2) gases emits and also consumes more power. Since energy is an important issue, that is, why green cloud computing comesinto the picture. Green cloud computing can be obtained by applying various techniques and algorithms, which use less power and emits lessCO2 gas, that is, damaging the environment. Cloud provides many facilities to its tenants such as sharing of resources for different purposes. Incloud domain, job scheduling is one of the biggest and hypothetical problems. Numerous investigations for scheduling a job and efforts carriedout in this regard because it is one of the main jobs to get the most profit. Scheduling can decrease the power consumption. So many algorithmshad been proposed for this purpose, and a lot more had to be done. In the paper, intends to present a variety of energy-efficient job schedulingalgorithms along with performance comparison analysis of various preexisting algorithms for scheduling jobs to provide energy efficiency ingreen cloud computing.
Towards Attaining Reliable and Efficient Green Cloud Computing Using Micro-Smart Grids to Power Internet Data Center
