Combined Smart Sleeping and Power Scaling for Energy Efficiency in Green Data Center Networks

Ngoc Nam, Pham (2015) Combined Smart Sleeping and Power Scaling for Energy Efficiency in Green Data Center Networks. ICo-ApICT 2015.

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Official URL: http://elib.unikom.ac.id/gdl.php?mod=browse&op=rea...

Abstract

Cloud computing and other data services in the recent years have become increasingly popular owing to the evolution of data center and parallel computing paradigms. New data center and cloud-based multimedia applications such as Video on Demand (e.g., YouTube), online storage and other cloud services etc., are becoming more common and are requiring additional network and server resources. Furthermore, data center networks nowadays are specifically designed to be extremely over dimensioned in terms of switching capacity and of number of deployed links and nodes to guarantee zero-loss and minimum latency packet forwarding. Thus, recent surveys have shown that the energy consumption in a data center considerably contributes to its operation costs. A remarkable part of the large energy volume consumed in data centers today is due to the over-provisioning of such network resources as switches, links, and servers to meet the stringent requirements on reliability. Therefore performance and energy issues are important factors for the design of large multi-tier data centers that can support multiple services. This talk is divided into two parts. In the first part of the talk, we address the motivations for current research activities on the areas of Green ICT. Recent hot research topics for energy-efficient networking, especially green data centers will also be discussed. In the second part, experiences and research results within the framework of the project ECODANE (Reducing Energy Consumption in Data center Networks) will be shared, including data center traffic measurement and modeling, energy profiling of network devices, energy-aware testbed and combined smart sleeping and power scaling mechanisms for energy efficiency.

Item Type: Article
Uncontrolled Keywords: Cloud computing, cloud services, online storage
Subjects: Prosiding > ICo-ApICT 2015
Divisions: Universitas Komputer Indonesia > Perpustakaan UNIKOM
Date Deposited: 10 Dec 2015 10:25
Last Modified: 31 Jan 2019 10:25
URI: https://repository.unikom.ac.id/id/eprint/59727

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