Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing
المؤلفون المشاركون
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-07
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Cloud computing has come to be a significant commercial infrastructure offering utility-oriented IT services to users worldwide.
However, data centers hosting cloud applications consume huge amounts of energy, leading to high operational cost and greenhouse gas emission.
Therefore, green cloud computing solutions are needed not only to achieve high level service performance but also to minimize energy consumption.
This paper studies the dynamic placement of virtual machines (VMs) with deterministic and stochastic demands.
In order to ensure a quick response to VM requests and improve the energy efficiency, a two-phase optimization strategy has been proposed, in which VMs are deployed in runtime and consolidated into servers periodically.
Based on an improved multidimensional space partition model, a modified energy efficient algorithm with balanced resource utilization (MEAGLE) and a live migration algorithm based on the basic set (LMABBS) are, respectively, developed for each phase.
Experimental results have shown that under different VMs’ stochastic demand variations, MEAGLE guarantees the availability of stochastic resources with a defined probability and reduces the number of required servers by 2.49% to 20.40% compared with the benchmark algorithms.
Also, the difference between the LMABBS solution and Gurobi solution is fairly small, but LMABBS significantly excels in computational efficiency.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Yue, Wenying& Chen, Qiushuang. 2014. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-485165
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Yue, Wenying& Chen, Qiushuang. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-485165
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Yue, Wenying& Chen, Qiushuang. Dynamic Placement of Virtual Machines with Both Deterministic and Stochastic Demands for Green Cloud Computing. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-485165
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-485165
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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