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A Dynamic Thermal-Allocation Solution to the Complex Economic Benefit for a Data Center
المؤلفون المشاركون
Liu, Hui
Song, Wenyu
Jin, Tianqi
Wu, Zhiyong
Yan, Fusheng
Song, Jie
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-15
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Data centers, which provide computing services and gain profits, are indispensable to every city in the information era.
They offer computation and storage while consuming energy and generate thermal discharges.
To maximize the economic benefit, the existing research studies on the data center workload management mostly leverage the dynamical power model, i.e., the power-aware workload allocation.
Nevertheless, we argue that for the complex relationship between the economic benefit and so many attributes, such as computation, energy consumption, thermal distribution, cooling, and equipment life, the thermal distribution dominates the others.
Thus, thermal-aware workload allocation is more efficient.
From the perspective of economic benefits, we propose a mathematical model for thermal distribution of a data center and study which workload distribution could determinately change the thermal distribution in the dynamic data center runtime, so as to reduce the cost and improve the economic benefits under the guarantee of service provisioning.
By solving the thermal environment evaluation indexes, RHI (Return Heat Index) and RTI (Return Temperature Index), as well as heat dissipation models, we define quantitative models for the economic analysis such as energy consumption model for the busy servers and cooling, energy price model, and the profit model of data centers.
Numerical simulation results validate our propositions and show that the average temperature of the data center reaches the best values, and the local hot spots are avoided effectively in various situations.
As a conclusion, our studies contribute to the thermal management of the dynamic data center runtime for better economic benefits.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Liu, Hui& Song, Wenyu& Jin, Tianqi& Wu, Zhiyong& Yan, Fusheng& Song, Jie. 2020. A Dynamic Thermal-Allocation Solution to the Complex Economic Benefit for a Data Center. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142637
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Liu, Hui…[et al.]. A Dynamic Thermal-Allocation Solution to the Complex Economic Benefit for a Data Center. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1142637
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Liu, Hui& Song, Wenyu& Jin, Tianqi& Wu, Zhiyong& Yan, Fusheng& Song, Jie. A Dynamic Thermal-Allocation Solution to the Complex Economic Benefit for a Data Center. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142637
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1142637
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر
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