Data Backup & Recovery Blog

Cloud Computing: A Peek into Datacenter Power Efficiency Management

Posted by Stephanie Aldrich on April 5, 2016

power&energy.jpgWith the rapid expansion of cloud computing technology, the need for datacenter management has come into the spotlight. It is imperative that cloud service providers spend a great deal of time and resources reducing the carbon footprint on the environment, the energy consumption and improving power efficiency of the servers at the datacenters. The heat dissipation and energy consumption by these processors in the datacenters vary depending on the workloads of the applications running on them; however, the average datacenter consumes energy equivalent to 25,000 households. With increasing energy costs and reducing supply of renewable resources, the cloud service providers are always searching for ways to optimize the energy usage at their datacenters.

The maximum energy cost and carbon footprint comes from having to power and cool down the large number of servers. While companies are adapting newer ways to enable cooling the servers, such as running cool water through pipes in the ceiling where it cools the hot air that rises, this issue still poses a huge challenge for companies.  It would be imperative to find a balance between capital spending on datacenter power efficiency and profit margins and hence several cloud service providers have come together to form a consortium called the “The Green Grid”. Since there is a growing demand for clouds, this issue will have to be addressed quickly.

The need for environment conservation and reduced carbon dioxide emissions has motivated companies to take initiative while building a strong competitive cloud computing industry. Increasingly, companies are coming up with ideas to improve the throughput of their datacenters while containing the energy consumption. According to a paper published by Australian researchers, some of the methods adopted by cloud service providers include energy efficient virtual machines mapping to cloud resources based on the user’s workload functions and development of energy aware resource allocation algorithms to dynamically allocate cloud resources keeping with the promises in the service level agreements. Most companies follow these approaches to reduce costs and improve efficiency while maintaining the energy consumption.

There is a need for companies who have not moved to the cloud to think outside the box to leverage the energy consumption data, workload functions and create a feedback mechanism to improve the system and mitigate the power efficiency problem on their own. While some of these ideas have helped address the issue of carbon footprints, there is still a great demand for innovative solutions, such as moving to the cloud to reduce their.  Cloud computing ensures efficient, pooled use of resources with optimization of hardware and software resources amongst a number of subscribers. This results in efficient and effective use of server space and lower deployment of hardware / software in siloed data centers that consume additional power and leave a larger carbon footprint.

Topics: cloud service provider, cloud computing, cloud service, datacenter

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