Simulation of Algorithms and Techniques for Green Cloud Computing Using CloudAnalyst

Abstract

In our fast growing world, cloud computing took place and became a milestone in the new technology revolution. Cloud computing offers online services, wherever and whenever the user requests. The most leading companies such as Microsoft, Google, and Amazon have contributions to the development of this field and they offer their services to users, companies, and organizations by cloud computing. Because of the importance of cloud computing, maintaining the service sustainable and reliable is very important. This leads to high electrical power consumption and big emission of CO₂. As a result, the concept of green cloud computing (GCC) has appeared and took the interest of service providers, researchers, and endusers. On the other hand, many algorithms have been developed to reduce power consumption and carbon emissions. In our paper, we simulate the efficiency of datacenters that use different algorithms for could computing (CC). In simulation, seven datacenters in different regions are used. There are seven users’ databases and these users make ten requests per hour, during a period of one year. During the process of simulation, we made tables of comparisons of the performance of algorithms to find out the best one to be used for GCC. Results show that the best algorithm for the GCC concept is the combination of the Round Robin Load Balancer Policy and ORT Broker Policy because it takes the least time response starting from sending requests until receiving the response.