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Cloud Computing For Energy

Cloud Computing For Energy – Being green is more important than ever in today’s society. Eirikur Hrafnsson, Green Qloud, said in 2012 that the internet and internet networks contribute a lot to carbon emissions due to misuse of energy.

Data centers in the public cloud are usually located near the utilities that supply them with power to reduce the amount of energy lost during the transmission process. A company like Facebook or Yahoo that builds traditional data centers usually doesn’t have much choice when it comes to location.

Cloud Computing For Energy

Cloud Computing For Energy

Due to their optimized hardware configuration, cloud data centers also require less power to provide storage and cooling power to the data centers. These data centers are designed to be large and energy efficient, providing optimal temperature and utilization.

The Cloud Paradox: Less Energy Used, More Energy Wasted

Businesses often use their own private centers, resulting in lower utilization rates as resources are procured and configured to prepare for increased server demand. Servers run at higher utilization rates in the cloud, resulting in increased performance. Data centers are notorious for wasting resources by leaving equipment idle. Due to high resource utilization, public cloud servers typically run 2 to 4 times faster than traditional data centers.

Due to the high cost and time required to upgrade servers, traditional data center equipment is often used for a long time before being upgraded or replaced. Cloud servers have a shorter lifespan as they are used more often than traditional servers.

Frequent upgrades to public cloud servers are also costly as new technology improves energy efficiency. Because the public cloud provider will save money by using more efficient technology, there will be less energy use in the long run.

It takes a lot of power, cooling and power to maintain old data center systems. Power can be saved by running simple programs in the cloud. Moving business software such as email, CRM and more to the cloud (nationwide) could save enough electricity annually to light up Los Angeles for 12 months, according to a Lawrence Berkeley National Laboratory study. 87 percent of these software applications will use less energy if hosted in the cloud.

Microsoft Cloud Is Up To 93% More Energy Efficient Than Traditional On Premise Datacenters: Report

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If you disable this cookie, we will not be able to save your settings. This means that each time you visit this website you must enable or disable cookies again.As part of the study, researchers at Berkeley Lab have created a free, open source model to analyze the power and carbon impacts of cloud computing. Available at

Cloud Computing For Energy

A six-month study led by Lawrence Berkeley National Laboratory (Berkeley Lab) with funding from Google found that moving common software used by 86 million US workers to the cloud could save enough electricity annually to power Los Angeles for a year. The study, conducted with Northwestern University, is summarized in a report released today (Tuesday, June 11, 2013).

Graph Of The Day: Insatiable Energy Appetite Of Cloud Computing

The report looks at three common business applications – email, customer relationship management or CRM software, and productivity software (spreadsheets, file sharing, word processing, etc.). Moving these software applications from local computer systems to centralized cloud services can reduce information technology energy use by 87 percent—about 23 billion kilowatt hours. This is approximately the amount of electricity used each year by all households, businesses and industries in Los Angeles.

The main goal of the project was to develop a modern model that researchers and the general public can use to analyze the energy and carbon impacts of cloud computing. This is the first time such a model has been made available to the public in an open access format. CLEER can be found under “legacy software”.

“We can’t fly by the seat of our pants when it comes to evaluating stability. We need numbers — hard data — to accurately analyze how cloud computing compares to how computing is done now,” said Northwestern’s Eric Masanet, lead author of the report. “A thoughtful analysis is very important with new technologies, which can have unintended consequences. Our social model allows us to anticipate and make informed decisions. What we have generally found is that by providing services in the cloud as opposed to on-premises, storage is very powerful.”

The study was conducted by researchers in Berkeley Lab’s Computational Research (CRD) and Environmental Energy Technologies (EETD) divisions and at Northwestern’s McCormick School of Engineering and Applied Science.

Cloud Computing Sustainability: How Green Is The Cloud?

Lavanya Ramakrishnan of Berkeley Lab is the project’s principal investigator. Masanet, formerly of Berkeley Lab, is now an assistant professor of mechanical engineering at Northwestern, where he focuses on operational issues.

Masanet gave a brief overview of the research at the June 6 “How Green is the Internet” conference organized by Google in Mountain View, California. The report can be found online at

Google has partnered with Berkeley Lab to lead a study based on extensive laboratory research into the energy efficiency of data centers and, more recently, an assessment of cloud computing’s suitability to help Department of Energy researchers conduct their research. Although there has been much discussion about the environmental impacts of large data centers, there has been very little research on the environmental benefits of providing common services from cloud infrastructure.

Cloud Computing For Energy

“We applaud Berkeley Lab for completing such an in-depth study of the broad implications of Internet computing,” said Michael Terrell, Chief Energy Policy and Operations Officer at Google. “We are very excited that this model will be available to other researchers and practitioners who want to test it themselves.”

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To develop a social utility model, the team used the most available and reliable information from a variety of sources, including their previous work and the research community. The data is based on standard industry practice. By offering a user-friendly standard, this project aims to stimulate further discussion of aspects related to the power of cloud computing, and the model has been used to present the findings in the report.

Ramakrishnan, a researcher in the Department of Computational Research, led the development of the community model. Valerie Hendrix and Pradeep Mantha from the team helped develop the model. Arman Shehabi, dean of science engineering in the Department of Environmental Energy Technology, led Berkeley Lab’s role in the evaluation phase of the project, including creating a prototype and defining different cloud computing scenarios used in design.

“The model will be accessible to a wide audience, so you can evaluate the power consumption of different types of elections in a meaningful way,” said Ramakrishnan. “By studying today’s and cloud environments, you can see the power of the network and the benefits of the carbon footprint in many dimensions.”

For example, a data center manager can compare today’s energy needs with that if the center were moved to the cloud. Comparisons can also be made on a geographic basis, such as moving all data centers at public universities from individual campuses to the cloud. Ramakrishnan said the model will be useful to individuals, program funding agencies and policy makers when assessing data and energy needs.

Figure 7 From Energy Efficiency Techniques In Cloud Computing

“This robust model for public use is truly a foundational tool for the energy analytics community,” said Shehabi. “The structure of the analysis and the different assumptions are completely transparent, allowing users to evaluate the basic analysis of the model, compare different scenarios, capture the data and discuss the results with the community.”

While other commercial software firms and consultancies have done some research, Ramakrishnan says the team has brought a complete model and an additional layer of autonomous behavior to the project, which includes making their process and their results publicly available.

According to the researchers, Google wanted independent experts to come up with a model that takes the best available data, methods and science and puts it in the public domain. This is a big step towards a more open scientific process for analyzing the difficult problem of what is the value of digital services.

Cloud Computing For Energy

“What we have is an interesting, state-of-the-art study that shows how the model adds value to the world,” Masanet said.

Cloud Computing Technology Save Energy And Reduce Carbon Footprint. Environmental Friendly Cloud Service Concept. Vector Illustration. Royalty Free Svg, Cliparts, Vectors, And Stock Illustration. Image 151933425

The model takes into account all the various factors – data centers, transmission systems, consumer equipment, transport systems, etc. – that are necessary for a holistic assessment of the environmental benefit or cost of moving from on-premises resources or physical to cloud.

The study is an important step in analyzing the impact of the cloud computing environment in the United States, and now the team is preparing a similar report using data from European countries. This report is scheduled to be published later this year.

Lawrence Berkeley National Laboratory addresses the world’s most pressing scientific challenges by advancing sustainable energy, protecting human health, creating new tools and discoveries.

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