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A Survey on Cloud Computing: Structured Organization of Data Center

by Md. Tareq Hasan, Md. Kawshik Ahmed, Amathul Hadi Shakara
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 176 - Number 33
Year of Publication: 2020
Authors: Md. Tareq Hasan, Md. Kawshik Ahmed, Amathul Hadi Shakara

Md. Tareq Hasan, Md. Kawshik Ahmed, Amathul Hadi Shakara . A Survey on Cloud Computing: Structured Organization of Data Center. International Journal of Computer Applications. 176, 33 ( Jun 2020), 32-36. DOI=10.5120/ijca2020920410

@article{ 10.5120/ijca2020920410,
author = { Md. Tareq Hasan, Md. Kawshik Ahmed, Amathul Hadi Shakara },
title = { A Survey on Cloud Computing: Structured Organization of Data Center },
journal = { International Journal of Computer Applications },
issue_date = { Jun 2020 },
volume = { 176 },
number = { 33 },
month = { Jun },
year = { 2020 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2020920410 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T00:41:17.039585+05:30
%A Md. Tareq Hasan
%A Md. Kawshik Ahmed
%A Amathul Hadi Shakara
%T A Survey on Cloud Computing: Structured Organization of Data Center
%J International Journal of Computer Applications
%@ 0975-8887
%V 176
%N 33
%P 32-36
%D 2020
%I Foundation of Computer Science (FCS), NY, USA

Now days, utilization of data centers power has big influences on environments. Data centers are energy-vacancy, crucial architectures that direct large-scale internet-based benefits. The excessive energy utilization and green temptation of data centers have turned in to a serious concern. Energy expenditures are decisive in good planning and improvising energy-resourceful functions to control extreme level of energy utilization in the data center. Experts are searching for locating efficient explanations to construct data centers to decrease energy expenditure where retaining the preferred feature of service objectives. Hence, Green Cloud is desired that cannot entirely minimize operating expenses but also restrict energy for the natural environment. This study organizes structural foundations, resource saturation for data Centre and challenges for energy efficient organization of cloud computing environment. Besides all this, energy- economy fashions in data centers in future are shown in this paper.

  1. K. Kant, “Data center evolution: A tutorial on state of the art, issues, and challenges”, ComputerNetworks, vol. 53, no. 17, (2009), pp. 2939-2965.
  2. A. Weiss, “Computing in the Clouds”, networker, vol. 11, no. 4, (2007), pp. 16-25.
  3. M. Abdullah-Al-Shafi and A. N. Bahar, “Cloud Computing: An Aspect of Information System”,International Journal of Applied Information Systems, vol. 10, no. 4, (2016), pp. 46-50.
  4. R. Buyya, C. S. Yeo and S. Venugop, “Market-oriented cloud computing: Vision, hype, and reality for delivering it services as computing utilities”, In Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications (HPCC-08, IEEE CS Press, Los Alamitos, CA,USA), (2008).
  5. M. Abdullah-Al-Shafi, A. N. Bahar and S. Saha, “Mobile On-demand Computing: The Future Generation of Cloud”, International Journal of Future Generation Communication and Networking, vol. 9, no. 11, (2016), pp. 161-178.
  6. EPA Report on Server and Data Center Energy Efficiency U.S. Environmental. Protection Agency, ENERGY STAR Program, (2007).
  7. R. Raghavendra, P. Ranganathan, V. Talwar, Z. Wang and X. Zhu, “No Power Struggles: Coordinated multi-level power management for the data center”, In Thirteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS ’08), (2008).
  8. W. V. Heddeghem, W. S. Lambert, B. Lannoo, D. Colle, M. Pickavet and P. Demeester, “Trends in worldwide ICT electricity consumption from 2007 to 2012”, Computer Communications, vol. 50, (2014), pp. 64-76.
  9. D. J. Brown and C. Reams, “Toward energy-efficient computing”, Communications of the ACM, vol.53, no. 3, (2010), pp. 50-58.
  10. F. Bellosa, “The benefits of event: Driven energy accounting in powersensitive systems”, Proc. 9th Workshop ACM SIGOPS EQ-Beyond PC-New Challenges Oper. Syst., (2000), pp. 37-42.
  11. Y. Hotta, M. Sato, H. Kimura, S. Matsuoka, T. Boku and D, Takahashi, “Profile-based optimization of power performance by using dynamic voltage scaling on a PC cluster”, Proc. 20th IPDPS, (2006), pp. 1-8.
  12. M. Weiser, B. Welch, A. Demers and S. Shenker, “Scheduling for reduced CPU energy”, Proc. 1st USENIX Conf. OSDI, (1994), pp. 1-11.
  13. A. Beloglazov and R. Buyya, “Energy efficient resource management in virtualized cloud data centers”, Proc. 10th IEEE/ACM Int. CCGrid, (2010), pp. 826-831.
  14. B. Heller, S. Seetharaman, P. Mahadevan, Y. Yiakoumis, P. Sharma, S. Banerjee and N. McKeown,“ElasticTree: Saving Energy in Data Center Networks”, In NSDI, vol. 10, (2010), pp. 249-264.
  15. R. Buyya, A. Beloglazov and J. Abawajy, “Energy-efficient management of data center resources for cloud computing: A vision, architectural elements, and open challenges”, arXiv preprint arXiv: 1006.0308, (2010).
  16. M. Yue, “A simple proof of the inequality FFD (L)< 11/9 OPT (L)+ 1, for all l for the FFD bin-packing algorithm”, Acta Mathematicae Applicatae Sinica (English Series), vol. 7, no. 4, (1991), pp. 321-331.
  17. C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpach, I. Pratt and A. Warfield, “Live migration of virtual machines”, In Proceedings of the 2nd Symposium on Networked Systems Design and Implementation (NSDI'05). USENIX, (2005).
  18. P. Johnson and T. Marker, “Data centre energy efficiency product profile”, Pitt & Sherry, report to equipment energy efficiency committee (E3) of The Australian Government Department of the Environment, Water, Heritage and the Arts (DEWHA), (2009).
  19. J. Moore, J. Chase and P. Ranganathan, “Weatherman: Automated, online, and predictive thermal mapping and management for data center”, In Proc. of the International Conference on Autonomic Computing, (2006).
  20. A. N. Bahar, M. A. Habib and M. M. Islam, “Security architecture for mobile cloud computing”, International Journal of Scientific Knowledge
  21. Computing and Information Technology, vol. 3, no. 3, (2013), pp. 11-17.
  22. M. A. Laurenzano, M. Meswani, L. Carrington, A. Snavely, M. M. Tikir and S. Poole, “Reducing energy usage with memory and computation-aware dynamic frequency scaling”, In European Conference on Parallel Processing, Springer, Berlin, Heidelberg, (2011), pp. 79-90.
  23. G. Sun, Y. Joo, Y. Chen, Y. Chen and Y. Xie, “A hybrid solid-state storage architecture for the
  24. Performance, energy consumption, and lifetime improvement”, In Emerging Memory Technologies, Springer, New York, (2014), pp. 51-77.
  25. M. Nijim, A. Manzanares and X. Qin, “An adaptive energy-conserving strategy for parallel disk
  26. Systems”, In Proceedings of the 12th IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications, IEEE Computer Society, (2008), pp. 75-82.
  27. M. A. Z. Alves, K. Khubaib, E. Ebrahimi, V. T. Narasiman, C. Villavieja, P. O. A. Navaux and Y. N. Patt, “Energy savings via dead sub-block prediction”, In Computer Architecture and High Performance Computing (SBAC-PAD), 24th International Symposium on IEEE, (2012), pp. 51-58.
  28. S. Mittal, Z. Zhang and Y. Cao, “CASHIER: A cache energy saving technique for QoS systems”, In 26th International Conference on VLSI Design, (2013), pp. 43-48.
Index Terms

Computer Science
Information Sciences


Cloud computing Energy preservation Data Centre Energy efficacy