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المؤلفDabbagh, Mehiar
المؤلفHamdaoui, Bechir
المؤلفGuizani, Mohsen
المؤلفRayes, Ammar
تاريخ الإتاحة2022-11-10T09:47:24Z
تاريخ النشر2015
اسم المنشورIEEE Network
المصدرScopus
المصدر2-s2.0-84926631087
معرّف المصادر الموحدhttp://dx.doi.org/10.1109/MNET.2015.7064904
معرّف المصادر الموحدhttp://hdl.handle.net/10576/36157
الملخصEnergy consumption has become a significant concern for cloud service providers due to financial as well as environmental factors. As a result, cloud service providers are seeking innovative ways that allow them to reduce the amount of energy that their data centers consume. They are calling for the development of new energy-efficient techniques that are suitable for their data centers. The services offered by the cloud computing paradigm have unique characteristics that distinguish them from traditional services, giving rise to new design challenges as well as opportunities when it comes to developing energy-aware resource allocation techniques for cloud computing data centers. In this article we highlight key resource allocation challenges, and present some potential solutions to reduce cloud data center energy consumption. Special focus is given to power management techniques that exploit the virtualization technology to save energy. Several experiments, based on real traces from a Google cluster, are also presented to support some of the claims we make in this article. 1986-2012 IEEE.
اللغةen
الناشرInstitute of Electrical and Electronics Engineers Inc.
الموضوعCloud computing
Distributed database systems
Energy utilization
Power management
Resource allocation
Cloud data centers
Cloud service providers
Design challenges
Environmental factors
Power management techniques
Resource allocation techniques
Traditional services
Virtualization technologies
Energy efficiency
العنوانToward energy-efficient cloud computing: Prediction, consolidation, and overcommitment
النوعArticle
الصفحات56-61
رقم العدد2
رقم المجلد29
dc.accessType Abstract Only


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