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Real-Time Energy Price-Aware Anycast...

Neginhal, Karan.

Real-Time Energy Price-Aware Anycast RWA for Scheduled Lightpath Demands in Optical Data Center Networks.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Real-Time Energy Price-Aware Anycast RWA for Scheduled Lightpath Demands in Optical Data Center Networks.
作者:	Neginhal, Karan.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, 2017
面頁冊數:	78 p.
附註:	Source: Masters Abstracts International, Volume: 57-02.
附註:	Adviser: Arunita Jaekel.
Contained By:	Masters Abstracts International57-02(E).
標題:	Computer science.
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10636173
ISBN:	9780355368505

Real-Time Energy Price-Aware Anycast RWA for Scheduled Lightpath Demands in Optical Data Center Networks.
Neginhal, Karan.

Real-Time Energy Price-Aware Anycast RWA for Scheduled Lightpath Demands in Optical Data Center Networks. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 78 p.

Source: Masters Abstracts International, Volume: 57-02.

Thesis (M.Sc.)--University of Windsor (Canada), 2017.

The energy consumption of the data center networks and the power consumption associated with transporting data to the users is considerably large, and it constitutes a significant portion of their costs. Hence, development of energy efficient schemes is very crucial to address this problem. Our research considers the fixed window traffic allocation model and the anycast routing scheme to select the best option for the destination node. Proper routing schemes and appropriate combination of the replicas can take care of the issue for energy utilization and at the same time help diminish costs for the data centers. We have also considered the real-time pricing model (which considers price changes every hour) to select routes for the lightpaths. Hence, we propose an ILP to handle the energy-aware routing and wavelength assignment (RWA) problem for fixed window scheduled traffic model, with an objective to minimize the overall electricity costs of a datacenter network by reducing the actual power consumption, and using low-cost resources whenever possible.

ISBN: 9780355368505Subjects--Topical Terms:

199325
Computer science.

Real-Time Energy Price-Aware Anycast RWA for Scheduled Lightpath Demands in Optical Data Center Networks.
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