A New Workflow Model for Energy Efficient Cloud Tasks Scheduling Architecture

Cloud Data centers use huge amount of electrical energy. And electrical energy is a very useful resource for the development of the country. With the need for dynamic computing resources and pay-per-use payment for the computing resources cloud computing is gaining much attention in recent times. Many cloud architectures are available in the market. But most of them do not take care about the efficient use of energy resources. The type of task scheduling greatly affects the energy consumption of a cloud data center. According to estimation Google data centers uses electrical energy that is equivalent to the energy requirement of a small size city. An Energy Aware Cloud Architecture scheme can save lots of electrical energies which can be used in the development of the country. In this paper we have proposed an energy efficient cloud Task Scheduling architecture that is based on allotting the cloud request to the best-suited cloud server. If we assign cloud request to the best-suited cloud server then the overall energy consumption will surely reduce because the resources are effectively and efficiently used and there is no wastage of computing resources. Different resources are also associated with a trust level that is also used in allotting resources to a cloud service request.