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ISSN: 2375-3943

American Journal of Computation, Communication and Control

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Improving and Minimizing Power Consumption

American Journal of Computation, Communication and Control
Vol.3 , No. 1, Publication Date: May 6, 2016, Page: 1-9

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Authors

[1]	Mohammed I. Alghamdi, College of Computer Science and Information Technology, Computer Science department, Albaha University, Albaha, Kingdom of Saudi Arabia.

Abstract

Energy conservation techniques play a vital role in mobile devices and sensors because their operational capability is limited by battery power. Over the past few years, energy and security have become very important in data-intensive applications running on high-performance computers. Web applications, file and media servers, transaction processing systems and search engines are a few examples of data-intensive applications. These data-intensive applications and services consume a huge amount of power for storing and retrieving data, since the applications and services are constantly servicing, processing, and supporting transactions throughout a day. Data intensive applications can result in high energy cost, which in turn is likely to become an increasing burden for companies maintaining the data-intensive computing servers.

Keywords

Wireless Sensor Network, MAC Protocol, Handover Management, Clustering, Energy Efficient

Reference

[01]	E. V. Carrera, E. Pinheiro, and R. Bianchini, “Conserving Disk Energy in Network Servers,” Proc. Int’l Conf. Supercomputing, 2003.
[02]	S. Gurumurthi, A. Sivasubramaniam, M. Kandemir, and H. Franke, “Dynamic Speed Control for Power Management in Server Class Disks,” Proc. 30^th Annual Int’l Symp. Computer Architecture, 2003.
[03]	J. S. Chase, and R. P. Doyle, “Balance of Power: Energy Management for Server Clusters,” Proc. 8^th Hot Topics in Operating Systems Workshop, 2001.
[04]	N. R. Potlapally, S. Ravi, A. Rag, and N. K. Jha, “A study of Energy Consumption Characteristics of Cryptographic Algorithms and Security Protocols,” IEEE Trans. Mobile Computing, 2006.
[05]	F. Douglis, P. Krishnan, and B. Bershad, “Adaptive Disk Spin-Down Policies for Mobile Computers,” Proc. 2^nd USENIX Symp. Mobile and Location-Independent Computing, 1995.
[06]	K. Li, R. Kumpf, P. Horton, and T. Anderson, “Quantitative Analysis of Disk Drive Power Management in Portable Computers,” Proc. USENIX Winter Conf., 1994.
[07]	W. Freeman, and E. Miller, “An Experimental Analysis of Cryptographic Overhead in Performance-Critical Systems,” Proc. 7^th Int’l Symp. MASCOT, 1999.
[08]	I. Hong, and M. Potkonjak, “Power Optimization in Disk-Based Real-Time Application Specific Systems,” Proc. IEEE/ACM Int’l Conf. ICCAD, 1996.
[09]	E. P. Harris, S. W. Depp, W. E. Pence, S. Kirkpatrick, M. Sri-Jaynantha, and R. R. Troutman, “Technology Directions for Portable Computers,” Proceedings of IEEE, 1995.
[10]	Maxon motor. ftp://ftp.maxonmotor.com /public/Download
[11]	T. Kenjo, Electronic Motors and Their Controls, Oxford University Press, 1993.
[12]	T. Xie, and X. Qin, “Scheduling Security-Critical Real-Time Applications on Clusters,” IEEE Trans. Computers, vol. 55, no. 7, pp. 864-879, 2006.
[13]	T. Xie and X. Qin, “An Energy-Delay Tunable Task Allocation Strategy for Collaborative Applications in Networked Embedded Systems,” IEEE Trans. Computers, vol. 57, no. 3, pp. 329-343, March 2008.
[14]	A. Manzanares, K. Bellam, and X. Qin, “A Prefetching Scheme for Energy Conservation in Parallel Disk Systems,” Proc. NSF Next Generation Software Program Workshop, April 2008.
[15]	Z.-L. Zong, X. Qin, M. Nijim, X.-J. Ruan, K. Bellam, and M. Alghamdi, “Energy-Efficient Scheduling for Parallel Applications Running on Heterogeneous Clusters,” Proc. 36th Int’l Conf. Parallel Processing, Sept. 2007.
[16]	S. W. Song, M. Kandemir, and A. Choudhary, “Software-directed disk power management for scientific applications,” Proc. Int’l Symp. Parallel and Distributed Processing, April 2005.
[17]	R. Chandramouli, S. Bapatla, K. P. Subbalakshmi, and R. N. Uma, “Battery Power-Aware Encryption,” ACM Trans. Information and System Security, pp. 162-180, May 2006.
[18]	X.-J. Ruan, A. Manzanares, K. Bellam, X. Qin, “DARAW: A New Write Buffer to Improve Parallel I/O Energy-Efficiency,” Proc. the 24th Annual ACM Symposium on Applied Computing, March 2009.
[19]	T. Xie and H. Wang. "MICRO: A Multi-level Caching-based Reconstruction Optimization for Mobile Storage Systems," IEEE Trans. Computers, vol. 57, no. 10, p.1386-1398, 2008.
[20]	M. Nijim, A. Manzanares, and X. Qin, “An Adaptive Energy-Conserving Strategy for Parallel Disk Systems,” Proc. the 12th IEEE Int'l Symp. Distributed Simulation and Real Time Applications (DS-RT), Oct. 2008.