Greening 4-4, 1-4 Data Center Network: A Greedy Approach for Finding an Energy Efficient Sub-network

2014 ◽  
Author(s):  
A. R. Ashok Kumar ◽  
S.V. Rao ◽  
Diganta Goswami
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Data Center Network ◽  
Greedy Approach

Energy-Efficiency in Cloud Data Centers

2013 ◽  
pp. 241-263
Author(s):  
Burak Kantarci ◽  
Hussein T. Mouftah
Keyword(s):  
Cloud Computing ◽  
Energy Consumption ◽  
Data Center ◽  
Energy Efficient ◽  
Large Scale ◽  
Data Centers ◽  
High Energy ◽  
It Services ◽  
Data Center Network ◽  
Cloud Data

Cloud computing aims to migrate IT services to distant data centers in order to reduce the dependency of the services on the limited local resources. Cloud computing provides access to distant computing resources via Web services while the end user is not aware of how the IT infrastructure is managed. Besides the novelties and advantages of cloud computing, deployment of a large number of servers and data centers introduces the challenge of high energy consumption. Additionally, transportation of IT services over the Internet backbone accumulates the energy consumption problem of the backbone infrastructure. In this chapter, the authors cover energy-efficient cloud computing studies in the data center involving various aspects such as: reduction of processing, storage, and data center network-related power consumption. They first provide a brief overview of the existing approaches on cool data centers that can be mainly grouped as studies on virtualization techniques, energy-efficient data center network design schemes, and studies that monitor the data center thermal activity by Wireless Sensor Networks (WSNs). The authors also present solutions that aim to reduce energy consumption in data centers by considering the communications aspects over the backbone of large-scale cloud systems.

scholarly journals Energy-efficient, digitally-driven “fat pipe” silicon photonic circuit switch in the UCSD MORDIA data-center network

CLEO: 2014 ◽  
2014 ◽  
Author(s):  
Ryan Aguinaldo ◽  
Alex Forencich ◽  
Christopher DeRose ◽  
Anthony L. Lentine ◽  
Douglas C. Trotter ◽  
...  
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Data Center Network ◽  
Silicon Photonic ◽  
Photonic Circuit

Online parameter tuning of the flow classification method in the energy-efficient data center network “HOLST”

2020 ◽  
Vol 12 (11) ◽  
pp. 344
Author(s):  
Masaki Murakami ◽  
Hiroki Kubokawa ◽  
Kyosuke Sugiura ◽  
Eiji Oki ◽  
Satoru Okamoto ◽  
...  
Keyword(s):  
Data Center ◽  
Energy Efficient ◽  
Parameter Tuning ◽  
Classification Method ◽  
Data Center Network ◽  
Flow Classification ◽  
Efficient Data
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