This document discusses an energy efficient mechanism for green computing in wireless storage area networks (WSANs). It presents a formal approach to green computing using a Green Cloud simulator. The simulator uses a load dispatching algorithm to keep an optimal number of active servers and supports energy management techniques like DNS and DVFS. The analysis tool takes the energy consumption model as input and characterizes the energy used by each task. The proposed technique reduces energy consumption in a WSAN and supports effective storage device mobilization in data centers.

1. S. G. BALEKUNDRI INSTITUTE OF TECHNOLOGY, BELAGAVI
Department of Electronics and Communication Engineering
ENERGY EFFICIENT MECHANISM FOR GREEN
COMPUTING IN WSAN
Presented by-
Abhinandan Kumbhar
(USN: 2BU13EC400)
Under the guidance of
Prof. Sidramayya S. M .

2. CONTENTS
 Introduction
 Green computing
 Formal Approach To Green computing
 Green cloud simulator
 Advantages
 Applications
 Conclusion
 References.
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3. Introduction
•Green computing is the practice of using computing resources
efficiently.
•A Wireless Storage Area Network(WSAN) is a special-purpose network
that interconnects data storage devices with associated data servers on
behalf of a larger network of users.
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4. 4
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5. 5
Formal Approach To Green computing

6. IP-SAN / WSAN
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FC -SAN
IP
IP
Storage Devices
Storage Devices
Users & severs

7. Simulation Of Wireless Storage Area Network
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• It follows load dispatching algorithm – That keeps almost least needed
number of active servers.
•In this we set every active server a set of discrete descending priorities of
request assignment.
• The servers are responsible for task execution.
•
•Supported modes of energy management in the simulator are DNS &
DVFS
•The analysis tool will take the ECM as input & characterized energy
consumed by each task based on the parameters

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9. Advantages
 Less complex.
 Simpler to manage.
 It released under the general public license agreement.
 And also prevent increasing the amount of harmful gases
in environment
 Higher latency.
 High cost.
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Disadvantage

10. Applications
 Green cloud computing is providing utility based services to all
the users world wide.
 In Data centers.
 It leads to an abrupt level of power consumption.
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11. Conclusion
Wireless storage area network model for energy consumption
using Green Cloud simulator. From this analysis we conclude that
using single user with two servers, the energy consumed by the
server is reduced using the DNS power management in WSAN. This
proposed technique will be a huge support for an Effective
mobilization of storage devices in data center.
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12. REFERENCES
 D. Kliazovich, P. Bouvry, Y. Audzevich, and S. U. Khan"GreenCloud: A Packet-level
Simulator of Energy-aware Cloud Computing Data Centers" 53rd IEEE Global
Communications Conference (Globecom), Miami, FL, USA, December 2010.
 Bo Li, Jianxin Li, Jinpeng Huai, Tianyu Wo, Qin Li, and Liang Zhong, "EnaCloud: An
Energy-Saving Application Live Placement Approach for Cloud Computing
Environments," IEEE International Conference on Cloud Computing, Bangalore, India,
Jan 2014.
 Ranbise,P, "Green computing a way towards environmentally sustainable future,"
International Conference on Contemporary Computing and Informatics, Mysore, India,
Nov. 2014.
 Hanmin Ye, Zihang Song "Design of green data center deployment model based on cloud
computing and TIA942 heat dissipation standard", IEEE workshop on Electronics,
Computer and Applications, May. 2014.
 M. Gupta and S. Singh, "Energy conservation with low power modes in Ethernet LAN
environments," in Proceedings Of IEEE INFOCOM (MiniSymposium), May 2013.
 Wadhwa B, Verma A"Energy saving approaches for Green Cloud Computing : A Review",
Recent Advances in Engineering and Computational Sciences, Mar. 2014.
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