کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4944581 | 1437998 | 2017 | 32 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Performance and power modeling and evaluation of virtualized servers in IaaS clouds
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کلمات کلیدی
CPNDVFSIaaSSaaSVirtual machine monitorPAASStochastic Activity NetworkMMPPGSPNMDPSANMRMSPNVMMSLASRNQoSService Level Agreement - توافقنامه سطح خدماتCloud computing - رایانش ابریMarkov decision process - روند تصمیم گیری مارکوفMarkov chain - زنجیره مارکفStochastic Petri net - شبکه اتفاقی پتریColored Petri net - شبکه رنگی پتریStochastic reward net - شبکه پاداش تصادفیPetri net - شبکه پتریMarkov modulated Poisson process - مارکف فرآیند پواسون را مدول کردvirtual machines - ماشین های مجازیVirtualization - مجازیسازیPerformance modeling - مدل سازی عملکردMarkov reward model - مدل پاداش مارکوفPower consumption - مصرف برق Dynamic voltage and frequency scaling - مقیاس ولتاژ پویا و فرکانسSoftware-as-a-Service - نرم افزار به عنوان یک سرویسPlatform-as-a-Service - پلت فرم به عنوان یک سرویسQuality of service - کیفیت خدمات
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this paper, Stochastic Activity Networks (SANs) are exploited to model and evaluate the power consumption and performance of virtualized servers in cloud computing. The proposed SAN models the physical servers in three different power consumption and provisioning delay modes, switching the status of the servers according to the workload of the corresponding cluster if required. The Dynamic Voltage and Frequency Scaling (DVFS) technique is considered in the proposed model for dynamically controlling the supply voltage and clock frequency of CPUs. Thus, Virtual Machines (VMs) on top a physical server can be divided into several power consumption and processing speed groups. According to the workload of the system and the number of waiting requests, the proposed SAN decides to scale up or down the VMs, so it helps the overall system to save power when it still preserves satisfiable performance. After modeling the servers and VMs using SAN formalism, some performance related measures together with the power consumption metric are defined on the proposed model. The results obtained by solving the proposed SAN model configured with real data show the prominence of the proposed model in comparison with some baselines and previously proposed models.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Information Sciences - Volumes 394â395, July 2017, Pages 106-122
Journal: Information Sciences - Volumes 394â395, July 2017, Pages 106-122
نویسندگان
Reza Entezari-Maleki, Leonel Sousa, Ali Movaghar,