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On Cost and Energy Efficiency of Security in Cloud Computing

by Thompson A. F., Olofinlade F. V., Bello B.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 180 - Number 14
Year of Publication: 2018
Authors: Thompson A. F., Olofinlade F. V., Bello B.
10.5120/ijca2018916271

Thompson A. F., Olofinlade F. V., Bello B. . On Cost and Energy Efficiency of Security in Cloud Computing. International Journal of Computer Applications. 180, 14 ( Jan 2018), 20-29. DOI=10.5120/ijca2018916271

@article{ 10.5120/ijca2018916271,
author = { Thompson A. F., Olofinlade F. V., Bello B. },
title = { On Cost and Energy Efficiency of Security in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2018 },
volume = { 180 },
number = { 14 },
month = { Jan },
year = { 2018 },
issn = { 0975-8887 },
pages = { 20-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume180/number14/28930-2018916271/ },
doi = { 10.5120/ijca2018916271 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:00:40.650418+05:30
%A Thompson A. F.
%A Olofinlade F. V.
%A Bello B.
%T On Cost and Energy Efficiency of Security in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 180
%N 14
%P 20-29
%D 2018
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Clouds are virtualized datacentres and applications offered as services. Cloud datacentre hosts hundreds of servers with software and hardware constituents that requires huge amount of energy for its operation. This poses energy consumption challenge, as well as server consolidation and data security due to the required technologies. This study, therefore, focuses on the cost effectiveness and energy efficiency of securing the cloud. Cost, in this context, is the continuous efforts made by cloud vendors in maintaining and ensuring that cloud infrastructures are equipped with state-of-the-art facilities that are energy efficient and conform to Power Usage Effectiveness (PUE), Service Level Agreements (SLAs) and Quality of Service (QoS) standards. Various factors that causes inefficiency in the cloud are considered in addition to conducts that ensure cost effective and energy efficient security in the cloud were evaluated using cloudsim and cloudreports, toolkits for modelling and simulating cloud environment as well as the feasibility of reducing the energy consumed in datacentres. The experimental results using Power Usage Effectiveness (PUE) and DataCentre Infrastructure Efficiency (DCIE) techniques for analyzing the energy consumed in datacentres demonstrates enhanced cloud productivity is achievable with reduced energy consumption in datacentres.

References
  1. Shawish, A., & Salama, M. (2014). Cloud Computing: Paradigms and Technologies. In F. Xhafa & N. Bessis (Eds.) Inter-cooperative Collective Intelligence: Techniques and Applications, (pp 39–68). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-35016-0_2.
  2. Mell, P., & Grance, T. (2011). The NIST definition of cloud computing. NIST Special Publication, 800-145, Retrieved from http://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-145.pdf.
  3. Jain, P. (2012). Security Issues and their Solution in Cloud Computing. International Journal of Computing & Business Research, ISSN (2229-6166). Retrieved from http://www.researchmanuscripts.com/isociety2012/1.pdf.
  4. Ramgovind, S., Eloff, M., & Smith, E. (2010, September). The Management of Security in Cloud Computing. Conference: Information Security for South Africa, (pp 1-7). Sandton, Johannesburg: UNISA Institutional Repository.
  5. Pedram, M. (2012). Energy-Efficient Datacentres. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 31, 1465-1484. doi:10.1109/TCAD.2012.2212898.
  6. Banerjee, A., Agrawal, P., & Iyengar, N. C. S. N. (2013). Energy Efficiency Model for Cloud Computing. International Journal of Energy, Information and Communications, 4(6), 29–42. https://doi.org/10.14257/ijeic.2013.4.6.04.
  7. Barroso, L.A. & Holzle, U. (2009). The Datacentre as a Computer: An Introduction to the Design of Warehouse-Scale Machines. Morgan & Claypool Publishers. doi:10.2200/S00193ED1V01Y200905CAC006.
  8. Fan, X., Weber, W., & Barroso, L.A. (2007). Power provisioning for a warehouse-sized computer. 34th annual International symposium on Computer Architecture, (pp. 13-23). New York, USA: Association for Computing Machinery.
  9. Rasmussen, N. (2007). Calculating Total Cooling Requirements for Datacentres. American Power Conversion, white paper number 25, Revision 2. Retrieved from https://www.scribd.com/document/4854383/Calculating-Total-Cooling-Requirements-for-Data-Centers.
  10. Kaur, E. S. (2014). Comparative Analysis upon Energy Efficiency between Cloud Computing and Green Computing. International Journal of Advance Research in Computer Science and Software Engineering (IJARCSSE), 4(9), 818–821. http://ijarcsse.com/Before_August_2017/docs/papers/Volume_4/9_September2014/V4I9-0353.pdf.
  11. Jacob, J., (2014). Green Computing Strategies for Improving Energy Efficiency in IT Systems. International Journal of Scientific Engineering and Technology, (ISSN: 2277-1581), 3(6) (pp 715-717). Retrieved from http://ijset.com/ijset/v3s6/IJSET_2014_603.pdf.
  12. Backialakshmi, M., & Hemavathi, N. (2015). Survey on Energy Efficiency in Cloud Computing. Journal of Information Technology & Software Engineering, 6(1). Ddoi:10.4172/2165-7866.100164.
  13. Sharma, Y., Javadi, B., & Si, W. (2015). On the Reliability and Energy Efficiency in Cloud Computing. 13th Australasian Symposium on Parallel and Distributed Computing (AusPDC 2015), Parramatta, Sydney, Australia, (111-114). Parramatta, N.S.W: Australian Computer Society.
  14. Javadi, B., Abawaiy, J. & Buyya, R. (2012). Failure Aware Resource Provisioning for Hybrid Cloud Infrastructure. Journal of Parallel and Distributed Computing, 72(10) 1318-1331.
  15. Elgelany, A., & Nada, N. (2013). Energy Efficiency for Data Centre and Cloud Computing: A Literature Review. International Journal of Engineering and Innovative Technology (IJEIT), 3(4), 16–20. Retrieved from http://www.ijeit.com/archive/24/volume-3issue-4-october-2013.html.
  16. Horri, A., & Dastghaibyfard, G. (2015). A Novel Cost Based Model for Energy Consumption in Cloud Computing. The Scientific World Journal, 2015(Article ID 724524), 1–10. https://doi.org/10.1155/2015/724524.
  17. Chen, Y., & Sion, R. (2014). Costs and security in Clouds. In Jajodia, S., Kant, K., Samarati, P., Singhal, A., Swarup, V., & Wang, C. (Eds), Secure Cloud Computing (pp 31-56). New York, USA: Springer.
  18. Dabbagh, M., Hamdaoui, B., Guizani, M., & Rayes, A. (2015). Towards energy-efficient cloud computing: Prediction, consolidation, and over commitment. IEEE Network, 29(2), 56-61. doi:10.1109/MNET.2015.7064904.
  19. Buyya, R., Ranjan, R., & Calheiros, R. N. (2009). Modelling and Simulation of Scalable Cloud Computing Environments and the CloudSim Toolkit: Challenges and Opportunities. IEEE Xplore. doi:10.1109/HPCSIM.2009.5192685.
  20. The Green Grid (2007). https://www.thegreengrid.org/
Index Terms

Computer Science
Information Sciences

Keywords

Energy Cost Security Quality of Service (QoS) Power Usage Effectiveness (PUE) DataCentre Infrastructure Efficiency (DCIE)

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