Please use this identifier to cite or link to this item:
|Title:||Estimating the energy consumption of executing software processes|
|Source:||Singh, V.K.,Dutta, K.,VanderMeer, D. (2013). Estimating the energy consumption of executing software processes. Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 : 94-101. ScholarBank@NUS Repository. https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.40|
|Abstract:||Power consumption in data centers is significant across the globe. The use of cloud-based services, e.g., infrastructure as a service and software as a service (such as Google Docs, Microsoft Office 365, Salesforce.com), is becoming a standard practice in modern IT frameworks. This paradigm shift in the IT industry indicates that the demand for data-center-based services will continue to increase in the future, with concomitant increases in power consumption. In such a scenario, optimizing the IT resources to improve energy efficiency is a necessity. The first step of such an optimization at the application level is knowing how much energy an application is consuming. One of the main challenges in this domain is developing a software-based energy metering tool that can measure an OS processes' energy consumption. Many existing solutions depend on an external watt-meter or other hardware-based enhancements, these are not practical for real-world use in data centers. To overcome the limitations of existing solutions, we have developed an OS process-level power metering tool that can accurately estimate the energy usage of each OS process running on a Linux server without an online watt-meter. Based on a set of experiments, we demonstrated that our method and implementation provides energy consumption estimation for complex e-business applications with above 95% accuracy. © 2013 IEEE.|
|Source Title:||Proceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 21, 2018
checked on Feb 17, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.