|
Minimizing CO2 Emissions on Cloud Data Centers, PP. 1119-1122 Keywords: Cloud Computing, Energy Conservation, Modified Best Fit Decreasing Algorithm, Power Aware Best Fit Decreasing Algorithm Abstract: The need of hour extended its area of conservation of energy in cloud computing. Cloud computing is the heart of research and one of the hottest topics in the field of computer science and engineering. Basically Cloud computing provides services that are referred to as Software-as-a-Service (SaaS), Platform-as-a-Service (PaaS) and Infrastructure-as-a-Service (IaaS). As the technology advances and network access becomes faster and with lower latency, the model of delivering computing power remotely over the Internet will proliferate. Hence, Cloud data centers are expected to grow and accumulate a larger fraction of the world’s computing resources. In this way, energy efficient management of data center resources is a major issue in regard to both the operating costs and CO2 emissions to the environment. In energy conservation we try to reduce CO2 emissions that contribute to greenhouse effect. Therefore, the reduction of power and energy consumption has become a first-order objective in the design of modern computing systems. In this paper we propose two algorithms for energy conservation on cloud based infrastructure.
|