Abstract




 
   

IJE TRANSACTIONS B: Applications Vol. 30, No. 11 (November 2017) 1730-1739   

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  ENERGY AWARE RESOURCE MANAGEMENT OF CLOUD DATA CENTERS
 
H. Rezai and O. R. B. Speily
 
( Received: February 09, 2017 – Accepted in Revised Form: September 08, 2017 )
 
 

Abstract    Cloud Computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way IT hardware is designed and purchased. Virtualization technology forms a key concept for new cloud computing architectures. The data centers are used to provide cloud services burdening a significant cost due to high energy consumption. Data centers are provisioned to accommodate peak demand rather than average demand and cloud applications consume much more electrical energy than they need. Thus, it necessitates that cloud computing solutions not only minimize operational costs, but also reduce the power consumption. In this paper, we investigate load balancing and power saving methods in virtualized cloud infrastructures. Imbalanced distribution of workloads across resources can lead to performance degradation and much electrical power consumption in such data centers. We present an architectural framework and principles for energy-efficient cloud computing environments. Resource provisioning and allocation algorithms, named Load-Power-aware, are proposed in this architecture. The algorithm employs a heuristic to dynamically improve the energy efficiency in data center, while guarantees the Quality of Service (QoS). The efficiency of the proposed approach is evaluated by using the most common cloud computing simulation toolkit, CloudSim. The performance modeling and simulation results are depicted the proposed approach significantly improves the energy efficiency in a given dynamic scenario, while a small amount of service level agreements (SLA) is missed.

 

Keywords    Cloud computing, load balancing, power saving, virtualization, live migration.

 

چکیده    رایانش ابری، به عنوان یک رویای بلندمدت و ابزار رایانشی، این قابلیت را دارد که بخش بزرگی از صنعت فناوری اطلاعات را تغییر داده و صنعت نرم افزار را به عنوان سرویس ارائه شده جذابتر سازد و شکل طراحی و فروش سخت افزار لازم برای فناوری اطلاعات را تغییر دهد. فناوری مجازی سازی مفهوم کلیدی معماریهای جدید رایانش ابری را تشکیل میدهد. مراکز دادهای که برای ارائه سرویسهای ابری مورد استفاده قرار میگیرند، هزینه سنگینی را به خاطر مصرف انرژی بالا تحمیل میکنند و نرم افزارهای کاربردی ابری، بیش از حد مورد نیازشان انرژی الکتریکی مصرف میکنند. لذا، روشهای رایانش ابری نه تنها باید هزینههای عملیاتی را کاهش دهند، بلکه باید مصرف توان را نیز کاهش دهند. در این مقاله، روشهای تعدیل بار و صرفهجویی مصرف توان در زیرساختهای مجازیسازی شده ابری را بررسی کرده ایم. توزیع نامتعادل بارهای کاری بین منابع، منجر به کاهش بازدهی و افزایش مصرف توان الکتریکی در چنین مراکز داده می شود. ما، یک چارچوب معماری و اصولی برای محیط رایانش ابری با کارآیی انرژی بالا ارائه کرده ایم. الگوریتم فراهم سازی و تخصیص منابع، که Load-Power-aware نامگذاری شده، در این معماری پیشنهاد شده است. این الگوریتم، در ضمن حفظ کیفیت سرویس، یک روش ابتکاری پویا را که مصرف انرژی را بهبود میبخشد، به کار می برد. کارآیی روش ارائه شده با ابزار شبیهسازی رایانش ابری، CloudSim ارزیابی شده است. نتایج مدل سازی و شبیه سازی کارآیی، نشان میدهند که روش ارائه شده کارآیی مصرف توان را به صورت قابل توجهی بهبود میبخشد در حالی که مقدار ناچیزی از توافق سطح ارائه سرویس از بین می رود.

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