کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7116756 | 1461209 | 2017 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Power savings in software defined data center networks via modified hybrid genetic algorithm
ترجمه فارسی عنوان
صرفه جویی در قدرت در نرم افزار شبکه های مرکز داده را از طریق الگوریتم ژنتیک ترکیبی اصلاح شده
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کلمات کلیدی
شبکه های مرکز داده، بهره وری انرژی، نرم افزار شبکه تعریف شده، توپولوژی الاستیک، الگوریتم ژنتیک،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی برق و الکترونیک
چکیده انگلیسی
In modern data centers, power consumed by network is an observable portion of the total energy budget and thus improving the energy efficiency of data center networks (DCNs) truly matters. One effective way for this energy efficiency is to make the size of DCNs elastic along with traffic demands by flow consolidation and bandwidth scheduling, i.e., turning off unnecessary network components to reduce the power consumption. Meanwhile, having the instinct support for data center management, software defined networking (SDN) provides a paradigm to elastically control the resources of DCNs. To achieve such power savings, most of the prior efforts just adopt simple greedy heuristic to reduce computational complexity. However, due to the inherent problem of greedy algorithm, a good-enough optimization cannot be always guaranteed. To address this problem, a modified hybrid genetic algorithm (MHGA) is employed to improve the solution's accuracy, and the fine-grained routing function of SDN is fully leveraged. The simulation results show that more efficient power management can be achieved than the previous studies, by increasing about 5% of network energy savings.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: The Journal of China Universities of Posts and Telecommunications - Volume 24, Issue 4, August 2017, Pages 76-86
Journal: The Journal of China Universities of Posts and Telecommunications - Volume 24, Issue 4, August 2017, Pages 76-86
نویسندگان
Xie Kun, Huang Xiaohong, Ma Maode, Zhang Pei,