Cloud computing has shifted the paradigm when it comes to handling our data. We are no more restricted to our standalone systems and can now access our data on the go. All the big companies like Google, Amazon et al have shifted their business on the cloud and are now offering their customers a new lease of life. However, with this ease come several challenges which have drawn the attention of people be it cryptographers, scientists or from business fraternity round the globe. Two main issues that one can relate to cloud computing is security and energy consumption. The aim of this paper is to address the energy concern in cloud data center. It would not be an aberration to say that cloud computing is at odds with the interests of the company when it comes to the financial aspect. If we go by stats, nearly 5% of the world’s total energy is being consumed by these data centers as their energy requirements are huge owing to services like PaaS, Iaas, SaaS.In this paper, an algorithm is proposed for minimizing the energy consumption of a typical data center catering to the need of cloud users. By modeling the incoming workload of a data center based on this approach, it can be proved that considerable savings in energy can be achieved
[1]
Tharam S. Dillon,et al.
Cloud Computing: Issues and Challenges
,
2010,
2010 24th IEEE International Conference on Advanced Information Networking and Applications.
[2]
Suman Nath,et al.
Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services
,
2008,
NSDI.
[3]
Christoforos E. Kozyrakis,et al.
Automatic power management schemes for Internet servers and data centers
,
2005,
GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..
[4]
Rajkumar Buyya,et al.
Modeling and simulation of scalable Cloud computing environments and the CloudSim toolkit: Challenges and opportunities
,
2009,
2009 International Conference on High Performance Computing & Simulation.