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A Smart Green Data Center of Energy Conservation in Cloud and Mobile Cloud Computing

M. R. Sudha1 , C. P. Sumathi2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-1 , Page no. 212-220, Jan-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i1.212220

Online published on Jan 31, 2019

Copyright © M. R. Sudha, C. P. Sumathi . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M. R. Sudha, C. P. Sumathi, “A Smart Green Data Center of Energy Conservation in Cloud and Mobile Cloud Computing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.1, pp.212-220, 2019.

MLA Style Citation: M. R. Sudha, C. P. Sumathi "A Smart Green Data Center of Energy Conservation in Cloud and Mobile Cloud Computing." International Journal of Computer Sciences and Engineering 7.1 (2019): 212-220.

APA Style Citation: M. R. Sudha, C. P. Sumathi, (2019). A Smart Green Data Center of Energy Conservation in Cloud and Mobile Cloud Computing. International Journal of Computer Sciences and Engineering, 7(1), 212-220.

BibTex Style Citation:
@article{Sudha_2019,
author = {M. R. Sudha, C. P. Sumathi},
title = {A Smart Green Data Center of Energy Conservation in Cloud and Mobile Cloud Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {1 2019},
volume = {7},
Issue = {1},
month = {1},
year = {2019},
issn = {2347-2693},
pages = {212-220},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3487},
doi = {https://doi.org/10.26438/ijcse/v7i1.212220}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i1.212220}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3487
TI - A Smart Green Data Center of Energy Conservation in Cloud and Mobile Cloud Computing
T2 - International Journal of Computer Sciences and Engineering
AU - M. R. Sudha, C. P. Sumathi
PY - 2019
DA - 2019/01/31
PB - IJCSE, Indore, INDIA
SP - 212-220
IS - 1
VL - 7
SN - 2347-2693
ER -

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Abstract

This paper focused to green system of the small data centers with sustainable energy power generation. The estimation must start with a baseline view of power consumption in every part of the data center. The primary vital issues of data centers are increasingly under intervention of their energy consumption and operations. This paper takes first step toward exploring green data centers powered by renewable energy system that include base load power supply, intermittent power supply and backup energy storage systems. The required energy assists in an embryonic attitude of data centers being saved energy with a "greener" consequence. Data centers are the factories of the digital world and the cloud is coming back to earth that ethereal place where data is being stored. The convention of renewable energy resources has been the vital role in our future development of modern technology and cloud computing is the fastest evolving paradigm of the modern age of computers. This requires more and more remote host machines such as servers. Naturally, data centers are required large amounts of energy to power the growing demand. Now, data centers are turning to energy-efficient data facilities to cut costs and green power for their operations. This paper presents small-scale routing algorithm used energy consumption by instead of using conventional energy, thus increasing the effective performance up gradation of the virtual data center. We bring new thought in energy saving of the data centers. This presents the technological way of power consumption in the records of data center.

Key-Words / Index Term

Cloud data center, Small scale algorithm, Energy consumption, Renewable energy

References

[1] P. Mell, T. Grance, The NIST definition of cloud computing, National Institute of Standards and Technology, Vol.53, Issue.6, pp. 1-7, 2009.
[2] D. Gielen, Renewable Energy Technologies: Cost Analysis Series, Solar Photovoltaic’s, Vol.1, Issue.4/5, pp. 1-52, 2012.
[3] A. Qureshi, Power-demand routing in massive geo-distributed systems (Ph.D. thesis), Massachusetts Institute of Technology, 2010.
[4] C. Ren, D. Wang, B. Urgaonkar, A. Sivasubramaniam, “Carbon-aware energy capacity planning for data centers”, In the Proceedings of the IEEE MASCOTS, IEEE Computer Society Washington, DC, USA. pp. 391-400, 2012.
[5] G. Piro, M. Miozzo, G. Forte, N. Baldo, L.A. Grieco, G. Boggia, P. Dini, Hetnets Powered by Renewable Energy sources: Sustainable Next-Generation Cellular Networks, IEEE Internet Computing, Vol.17, Issue.1, pp. 32–39, 2013.
[6] H. A. H. Hassan, L. Nuaymi, and A. Pelov, “Classification of Renewable Energy Scenarios and Objectives for Cellular Networks,” Proceeding of the IEEE PIMRC ’13, London, UK. pp. 2967-2972, 2013.
[7] https://apprenda.com/library/architecture/the-three-tier-model-of-cloud-computing/
[8] E. Masanet, A. Shehabi, J.Koomey, “Characteristics of low-carbon data centers, Nature Climate Change”, Vol.3, Issue.7, pp. 627-630, 2013.
[9] A. Uchechukwu, K. Li, Y. Shen, “Improving cloud computing energy efficiency”, Cloud Computing Congress (APCloudCC). IEEE Asia Pacific. pp. 53-58, 2012.
[10] W. Deng, F. Liu, H. Jin, B. Li, D. Li, “Harnessing renewable energy in cloud data centers: opportunities and challenges”, IEEE Network, Vol.28, Issue.1, pp. 48-55, 2014.
[11] S. Mustafa, B. Nazir, A. Hayat, S.A. Madani, “Resource management in cloud computing: Taxonomy, prospects, and challenges”, Computers & Electrical Engineering, Vol.47, pp. 186–203, 2015.
[12] E. Or o´, V. Depoorter, A. Garcia, J. Salom, “Energy efficiency and renewable energy integration in data centers. Strategies and modelling review”, Renewable and Sustainable Energy Reviews, Vol. 42, pp. 429-445, 2015.
[13] I. Goiri, K. Katsak, T.D. Le, Nguyen, R. Bianchini, In: SIGARCHA CM, editor. “Parasol and greenswitch: Managing data centers powered by renewable energy”, ACM SIGARCH Computer Architecture News, Vol. 41, Issue. 1, pp. 51-64, 2013.
[14] D. Ren, B. Wang, Urgaonkar, A. Sivasubramaniam, “Carbon-aware energy capacity planning for datacenters”, International Symposium on Modeling, Analysis & Simulation of Computer and Tele-communication Systems (MASCOTS), pp. 391–400, 2012.
[15] I. Goiri ´, W. Katsak, K. Le, T.D. Nguyen, R. Bianchini, “Designing and managing data enters powered by renewable energy”, IEEE Micro, Vol.34, Issue.3, pp. 8-16, 2014.
[16] Y. Zhang, Y. Wang, X. Wang. “GreenWare: Greening Cloud-Scale Data Centers to Maximize the Use of Renewable Energy”, 12th International Middleware Conference (MIDDLEWARE), Dec 2011, Lisbon, Portugal. Springer, Lecture Notes in Computer Science, LNCS-7049, pp.143-164, 2011.
[17] C. Pandi selvi, S. Sivakumar, “Constraint Programming approach based Virtual Machine Placement Algorithm for Server Consolidation in Cloud data center”, International Journal of Computer Science and Engineering, Vol.6, Issue.8, pp. 91-95, 2018.
[18] M. R. Sudha, M. Sornam, “Differential Evolutionary Algorithm for Energy Efficiency
Improvement on Mobile Cloud Computing”, International Journal of Control Theory and Applications, Vol.9, Issue.40, pp. 1149-1156, 2016.
[19] Measurement and Instrumentation data center, http://www.nrel.gov/midc/
[20] S. Bergqvist, "Energy Efficiency Improvements using DC in Data Centers," master`s thesis, Uppsala Universitet, 2011.
[21] G. Laura Grit, I. David, Y. Aydan, C. Jeff, “Virtual Machine Hosting for Networked Clusters: Building the Foundations for Autonomic Orchestration”, 2nd International Workshop on Virtualization Technology in Distributed Computing (VTDC 06), ACM, pp. 7, 2006.
[22] E. Berl, M. Gelenbe,G. Di Girolamo, H. Giuliani, M. De Meer, K. Quan Dang, Pentikousis, “Energy-Efficient Cloud Computing”, The Computer Journal, Vol.53, Issue.7, pp. 1045-1051, 2010.
[23] S. Dutta, W. H. Dutton, G. Law G. “The new Internet world: a global perspective on freedom of expression, privacy, trust and security online”, World Economic Forum; pp. 1-35, 2011.
[24] C. Sharma, “Global Mobile Market Update”, http://www.chetansharma.com/GlobalMobileMarketUpdate2012.htm, 2012. [(accessed 9.12.12)].
[25] M. Ton, B. Fortenbery, W. Tschudi, “DC Power for Improved Data Center Efficiency”, Lawrence Berkeley National Laboratory, pp. 1-74, 2008.
[26] Guidelines for Energy-Efficient Data Centers,white paper, The Green Grid Consortium, 16 Feb. 2007; www.thegreengrid.org/~/media/WhitePapers/Green_ Grid_Guidelines_WP.pdf?lang=en.
[27] S. Akoush, R. Sohan, A. Rice, A.W. Moore, A. Hopper, “Free lunch: exploiting renewable energy for computing”, Proceedings of the 13th USENIX conference on Hot topics in operating systems, pp.17–17, 2011.
[28] R. de Lemos, H. Giese, H. Müller, and M. Shaw. 10431 Report - Software Engineering for Self-Adaptive Systems. In R. de Lemos, H. Giese, H. Müller, and M. Shaw, editors, “Software Engineering for Self-Adaptive Systems”, number 10431 in Dagstuhl Seminar Proceedings, Dagstuhl, Germany, 2011.
[29] N. Qureshi and A. Perini, “ Engineering adaptive requirements”, ICSE Workshop on Software Engineering for Adaptive and Self-Managing Systems, IEEE, pp. 126–131, 2009.
[30] Camara, R. De Lemos. “Evaluation of resilience in self-adaptive systems using probabilistic model-checking”, 7th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), IEEE, pp. 53–62, 2012.
[31] D. Djemame, R. E. Armstrong, A. J. Kavanagh, D. G. Ferrer, D. R. Perez, J. C. Antona, C. Deprez, D. Ponsard, M. Ortiz, J. Macıas, F. Guitart, J. Lordan, R. Ejarque, R. M. Sirvent, M. Badia, O. Kammer, E. Kao, A. Agiatzidou, C. Dimakis, Courcoubetis, L. Blasi. “Energy efficiency embedded service lifecycle: Towards energy efficient cloud computing architectur”, In the Proceedings of the Workshop on Energy Efficient Systems (EES’2014) at ICT4S, Stockholm, Sweden, pp. 1–6, 2014.
[32] K.K. Nguyen, M. Cheriet, M. Lemay, V. Reijs, A. Mackarel, A. Pastrama, Environmental-aware virtual data center network, Computer Networks, Vol.56, pp. 2358-2550, 2012.
[33] S. Edel Josephine Rajakumari, T. Daisy Premila Bai, H. M. Leena, "Analysis of Cloud Computing and Its Challenges", International Journal of Computer Sciences and Engineering, Vol.6, Issue.12, pp.326-329, 2018.