Energy Optimization of Virtual Machines Placement in Cloud Data Center

Cloud computing is an Internet Cloud, a technology emerging and advancing rapidly in Information and Communication Technology (ICT) attributed to its flexibility of using computing resources on a pay-as-you-go basis. Computing resources are delivered on-demand over the Internet. Some of the services include: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS), and all these services can be deployed either in public, private or hybrid model. Today data centres are highly configured with advanced servers supporting such kind of trends in computing. Servers in data centres remain idle when not in use. This server can be switched off or put in sleep mode to reduce energy consumption [1]. The Infrastructure as a Service (IaaS) layer is the pool of computing resources, storage  and network fabrics, the fast becoming services in cloud computing, it provides computing resources for small to large scale. Services like computer resource (Amazon EC2), database, and storage (Amazon S3) are some of the services which are widely used. An API (Application Programming Interface) is used to access the infrastructure with a dashboard to control the server and to create and manage different Virtual Machines (VM) and other services in the data centre.

NONGMAITHEM AJITH SINGH