Ant Colony System for Efficient Virtual Machine Placement in Cloud Computing

Abstract

Cloud computing data centers host millions of Virtual Machines across the world resulting in an extremely secure and flexible environment. Virtual machine placement is solitary of major challenging problems in cloud infrastructure organization. It introduces problems such as excessive energy consumption by physical machines and greenhouse effect. Most cloud servers consume only about 11% to 50% of their total resources. A study based upon the different methods responsible for achieving energy efficient cloud computing was conducted. Many algorithms like the First Fit-Decreasing Algorithm and the Modified Ant Colony Optimization have been discovered to achieve energy efficient virtual machine placement but the consumption rate is still high. An algorithm based upon the Ant Colony System approach was analyzed. This, combined among Order Exchange and Migration confined look for technique, resulted the Communication Ant Colony System. It helps in assigning virtual equipment to suitable hosts. In this manuscript, we discuss the working and implications of the Order Exchange and Migration Ant Colony System. It is applied to numerous Virtual Machine Placement problems under different circumstances using the Clouds simulator. The results, compared with other algorithms, assure that Communication in Ant Colony System consumes the least amount of energy and is reliable.