دانلود مقاله ISI انگلیسی شماره 74112
عنوان فارسی مقاله

بهینه سازی استراتژی های توسعه برای مراکز داده رایانش ابر ultrascale

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
74112 2015 15 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Optimizing expansion strategies for ultrascale cloud computing data centers
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Simulation Modelling Practice and Theory, Volume 58, Part 1, November 2015, Pages 15–29

کلمات کلیدی
مراکز داده Ultrascale؛ رایانش ابری؛ مدل سازی توسعه؛ مدل سازی بارهای ترافیکی ؛ مسائل بهینه سازی؛ برنامه نویسی عدد صحیح خطی مختلط
پیش نمایش مقاله
پیش نمایش مقاله بهینه سازی استراتژی های توسعه برای مراکز داده رایانش ابر ultrascale

چکیده انگلیسی

With the increasing popularity gained by cloud computing systems over the past few years, cloud providers have built several ultrascale data centers at a variety of geographical locations, each including hundreds of thousands of computing servers. Since cloud providers are facing rapidly increasing traffic loads, they must have proper expansion strategies for their ultrascale data centers. The decision of expanding the capacities of existing data centers or building new ones over a certain period requires considering many factors, such as high power consumption, availability of resources, prices (of power, land, etc.), carbon tax, free cooling options, and availability of local renewable power generation. While a rich volume of recent research works focused on reducing the operational cost (OPEX) of the data centers, there exists no prior work, to the best of our knowledge, on investigating the trade-off between minimizing the OPEX of the data centers and maximizing their revenue from the services they offer while respecting the service level agreement (SLA) with their customers. In this study, we model this optimization problem using mixed integer-linear programming. Our proposed model is unique compared to the published works in many aspects such as its ability to handle realistic scenarios in which both data centers’ resources (servers) and user generated traffic are heterogeneous. To evaluate the proposed model and the impact of different parameters on it’s performance, several simulation experiments are conducted.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.