Energy-efficient cloud resource management
البيانات الوصفيةعرض كامل للتسجيلة
We propose a resource management framework that reduces energy consumption in cloud data centers. The proposed framework predicts the number of virtual machine requests along with their amounts of CPU and memory resources, provides accurate estimations of the number of needed physical machines, and reduces energy consumption by putting to sleep unneeded physical machines. Our framework is based on real Google traces collected over a 29-day period from a Google cluster containing over 12,500 physical machines. Using this Google data, we show that our proposed framework makes substantial energy savings.
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وثائق ذات صلة
عرض الوثائق المتصلة بواسطة: العنوان، المؤلف، المنشئ والموضوع.
Abu-Shanab, Emad; Estatiya, Fatima ( IEEE , 2017 , Conference Paper)© 2017 IEEE. E-government success requires leadership, huge funds and efforts to overcome the challenges faced by governments especially in developing countries. Cloud computing is an option that can provide governments ...
Rihan, Rana Adnan; Khan, Khaled M. ( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)This paper deals with outsourcing of computing to cloud servers where clients' images are computed and stored. It proposes a technique that obfuscates images before sending them to servers. Cloud servers can perform ...
Al-Sharafi, Mohammed A.; Arshah, Ruzaini Abdullah; Abu-Shanab, Emad A. ( Association for Computing Machinery , 2017 , Conference Paper)The primary purpose of carrying out this research work is to identify the crucial factors that influence the continuous use of cloud computing services in organizations. To achieve this identified objective, this research ...