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CLOUD COMPUTING: Comparison of Various Features

  • Nawsher Khan
  • Ahmad Noraziah
  • Mustafa Mat Deris
  • Elrasheed I. Ismail
Part of the Communications in Computer and Information Science book series (CCIS, volume 194)

Abstract

Cloud computing is fundamentally altering the expectations for how and when computing, storage and networking resources should be allocated, managed, consume and allow users to utilize services globally. Due to the powerful computing and storage, high availability and security, easy accessibility and adaptability, reliable scalability and interoperability, cost and time effective cloud computing is the top needed for current fast growing business world. A client, organization or a trade that adopting emerging cloud environment can choose a well suitable infrastructure, platform, software and a network resource, for any business, where each one has some exclusive features. In this paper, we managed a comprehensive classification for describing cloud computing architecture. After this classification, easy to choose a specific cloud service out of several existing cloud computing services developed by various projects globally such as Amazon, Google, Microsoft, Sun, force.com etc. Using this survey results not only to identify similarities and differences of the various aspects of cloud computing, but also identifying some areas for further research.

Keywords

Cloud Computing Classification Virtualization Large Scale Data 

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References

  1. 1.
    Foster, I., Zhao, Y., Raicu, I., Lu, S.: Cloud Computing And Grid Computing 360-Degree Compared. IEEE Grid Computing Environments, Gce (2008)Google Scholar
  2. 2.
    Silvestre, J.: Economies And Diseconomies Of Scale. The New Palgrave: A Dictionary Of Economics 2, 80–84 (1987)Google Scholar
  3. 3.
    Twenty Experts Define Cloud Computing. Sys-Con Media Inc., http://cloudcomputing.sys-con.com/read/612375_p.htm, (January 25, 2011)
  4. 4.
    Pfister, G.F.: In search of clusters, 2nd edn. Prentice Hall, Upper Saddle River (1998)Google Scholar
  5. 5.
    Buyya, R. (ed.): High Performance Cluster Computing: architectures and systems, vol. 1. Prentice Hall, Upper Saddle River (1999)Google Scholar
  6. 6.
    Weiss: Computing in the clouds. Networker 11 (4), 16–25 (2007)Google Scholar
  7. 7.
    Buyyaa, R., Yeoa, C.S., Venugopala, S., James, B.A., Brandic, I.: Cloud computing and emerging it platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer System (2008), doi:10.1016/j.futureGoogle Scholar
  8. 8.
    Peng, J., Zhang, X., Lei, Z.: Comparison of several cloud computing platforms. In: International Symposium of Information (2009)Google Scholar
  9. 9.
    Rimal, B.P., et al.: A taxonomy and survey of cloud computing system. In: International Joint Conference on Inc. (2009)Google Scholar
  10. 10.
    Chang, F., Dan, J., Ghemawat, S., Hsieh, W., Wallach, D., Burrows, M., Chandra, T., Fikes, A., Gruber, R.: Bigtable: A distributed storage system for structured data. In: Proceedings of the 7th Usenix Symposium on Operating Systems Design and Implementation, osdi 2006 (2006)Google Scholar
  11. 11.
    Decandia, G., Hastorun, D., Jampani, M., Kakulapati, G., Lakshman, A., Pilchin, A., Sivasubramanian, S., Vosshall, P., Vogels, W.: Dynamo: Amazon’s highly available key-value store. In: Proceedings of Twenty-First ACM Sigops Symposium on Operating Systems Principles, pp. 205–220. ACM press, New York (2007)CrossRefGoogle Scholar
  12. 12.
    Hamilton, J. Cost of power in large-scale data centers, http://perspectives.mvdirona.com Inlargescaledatacenters. Aspx (January 22, 2011)
  13. 13.
    Stanley, M.: Technology Trends, http://Morganstanley.com/institutionaltechresearch/pdfs/techtrends062008.pdf (January 17, 2011)
  14. 14.
    Keahey, K., Foster, I., Freeman, T., Zhang, X.: Virtual Workspaces: Achieving quality of service and quality of life in the grid. Sci. Programming 13(4), 265–275 (2005)CrossRefGoogle Scholar
  15. 15.
    Opennebula Project, http://www.opennebula.org/ (January 5, 2011)
  16. 16.
    Amazon Elastic Compute Cloud (ec2), http://www.amazon.com (January 22, 2011)
  17. 17.
    Google App Engine Web Site. Web Resource (January 7, 2011)Google Scholar
  18. 18.
    Kleinrock, L.: A vision for the internet. St. Journal of Research 2(1), 4–5 (2005)Google Scholar
  19. 19.
    Gartner executive programs worldwide survey of more than 2,000 cios, http://www.gartner.com/it/page.jsp?id=1526414 (January 21, 2011)
  20. 20.
    Gartner’s hype cycle special report evaluates maturity of 1,800 technologies (2010 ), http://www.gartner.com/it/page.jsp?id=1447613 (January 9, 2011)
  21. 21.
    Life in the cloud, living with cloud computing, http://computinginthecloud.wordpress.com/2008/09/25/utility-cloud-computingflashback (January 12, 2011)

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Nawsher Khan
    • 1
  • Ahmad Noraziah
    • 1
  • Mustafa Mat Deris
    • 2
  • Elrasheed I. Ismail
    • 1
  1. 1.Faculty of Computer Systems & Software EngineeringUniversity Malaysia PahangMalaysia
  2. 2.Faculty of Computer Science and Information TechnologyUniversiti Tun Hussein Onn MalaysiaMalaysia

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