Energy-conscious resource scheduling in cloud computing environment: A pragmatic view

TL;DR: Various algorithms are studied, analyzed & discussed by taking different parameters to resolve the issue of scheduling in servers, either by assigning virtual machines to server or by assigning tasks to various virtual machines.

Abstract: Cloud computing is emerging technology due to pay-as-you-go pricing model. It is spreading globally due to its easy and simple service oriented model. Some people are having perception that cloud computing is just another name of Internet. The numbers of users accessing the cloud are rising day by day. Cloud is based on data centers, which are powerful to handle large number of users, who can access their data anytime and anywhere. Data centers consumes huge amount of energy leads to increase cost and carbon emission. Large numbers of data centers are easy to build, but not good for environment. In cloud computing, users are available with different virtualized resources in order to complete their task, hence in cloud computing scheduling plays a vital role. In this paper, various algorithms are studied, analyzed & discussed by taking different parameters to resolve the issue of scheduling in servers, either by assigning virtual machines to server or by assigning tasks to various virtual machines. Heuristic scheduling algorithms like ACO and its different variants are discussed, further improvement can be done in order to make it more energy efficient algorithm.