Challenges of Cloud Computing Evaluation

Article Preview

Abstract:

Cloud computing is one of the hottest topics of IT research and industry because of its easy usage and flexible payment. At present, many researchers and projects focus on improving the efficiency and performance of cloud computing. Few researchers have recognized the importance the evaluation of cloud computing and started to investigate the evaluation methods. This paper first surveys research papers and technology reports about cloud computing evaluation. Then the characteristics and influential factors of cloud computing are analyzed. Some important unsolved issues of cloud computing evaluation are proposed. Finally, this paper gives some advice and points out future open problems of evaluation.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

396-401

Citation:

Online since:

September 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R. Chellappa, Intermediaries in cloud-computing: A new computing paradigm, in INFORMS Dallas 1997 Cluster: Electronic Commerce, Dallas, Texas, (1997).

Google Scholar

[2] Information on http: /aws. amazon. com.

Google Scholar

[3] S. Lohr, Google and IBM join in cloud computing research, New York Times, (2007).

Google Scholar

[4] D. Krissi, Distinguishing Cloud Computing from Utility Computing, Ebizq. net, information on http: /www. ebizq. net/blogs/saasweek/2008/03/distinguishing_cloud_computing.

Google Scholar

[5] F. Chang, J. Dean, S. Ghemawat, W. C. Hsieh, D. A. Wallach Mike Burrows, et al. Bigtable: A Distributed Storage System for Structured Data, Proceeding of the 7th Symposium on Operating System Design and Implementation, Vol. 7, Seattle, WA, November, (2006).

DOI: 10.1145/1365815.1365816

Google Scholar

[6] J. Dean and S. Ghemawat, MapReduce: Simplifed Data Processing on Large Clusters, Commun. ACM, vol. 51, pp.107-113, (2008).

DOI: 10.1145/1327452.1327492

Google Scholar

[7] Information on http: /en. wikipedia. org/ wiki/Evaluation.

Google Scholar

[8] J. J. Dongarra, P. Luszczek and A. Petitet, The LINPACK benchmark: Past, present, and future, Concurrency and Computation: Practice and Experience, 2003, vol. 15, p.1−18.

DOI: 10.1002/cpe.728

Google Scholar

[9] D. Bailey, T. Harris, _ W. Saphir, R. Wijngaart, A. Woo and M. Yarrow, The NAS parallel benchmarks 2. 0, information on http: /www. nas. nasa. gov/assets/pdf/techreports/1995/nas-95-020. pdf.

Google Scholar

[10] SPEC standards, information on http: /www. spec. org.

Google Scholar

[11] E. Joseph, C. G. Willard, M. Swenson and D. Goldfarb, A new HPC technical computing benchmark: the IDC balanced rating, IDC Bulletin W IDC Bulletin #W24824, June, (2001).

Google Scholar

[12] J. Dongarra and P. Luszczek, Introduction to the HPC challenge benchmark suite, ICL Technical Report, ICL-UT-05-01, (2005).

Google Scholar

[13] J. A. McCall, P. K. Richards and G. F. Walters, Factors in software quality, RADC (Rome Air Development Centre): Technical Report RADC-TR-77-363, (1977).

Google Scholar

[14] L. Zeng, Benat allam B. QoS aware middleware for Web service composition, IEEE Transactions on Software Engineering, 2004, 30(5), pp.311-327.

DOI: 10.1109/tse.2004.11

Google Scholar

[15] B. Medjah ed, Semantic Web enabled composition of Web services, [ Ph. D. dissertation ]. Virginia Polyt echnic Institute and State University, Virginia, USA, (2004).

Google Scholar

[16] W.J. Yang, J.Z. Li, K.H. Wang, Domain-Adaptive Service Evaluation Model, Chinese Journal of Computers, No. 4, Vol. 28, pp.514-523, (2005).

Google Scholar

[17] G. Q. Liu, Z. L. Zhu, H. Wang, D. CH. Li and Y. Liu, Model for Evaluating QoS Trust worthiness of Web Service, Journal of Chinese Computer Systems, Vol. 30, No. 11, pp.2216-2221, (2009).

Google Scholar

[18] Y. L. Liu, X. Y. Bai, G. Cheng and L. J. Wang, Policy-based runtime performance evaluation and validation of Web Service, ACTA ELECTRONIC ASINIC, vol. 32, no. 2A, pp.182-187, (2010).

Google Scholar

[19] Information on http: /www. cjsdn. net/post/view?bid=2&id=4913&sty=3.

Google Scholar

[20] J. Scanlon and B. Wieners. The Internet Cloud, Thestandard. com, information on http: /www. thestandard. com/article/0, 1902, 5466, 00. html. Retrieved 2010-08-22.

Google Scholar

[21] B. Rochwerger, J. Caceres, R.S. Montero, D. Breitgand, E. Elmroth, et al. The RESERVOIR Model and Architecture for Open Federated Cloud Computing, IBM Journal of Research and Development, vol. 53, no. 4, (2009).

DOI: 10.1147/jrd.2009.5429058

Google Scholar

[22] Ch. T. Chen and K. H. Lin, A decision-making method based on interval-valued fuzzy sets for cloud service evaluation, 4th International Conference on New Trends in Information Science and Service Science (NISS), pp.556-564, (2010).

Google Scholar

[23] H. Kim, H. Lee, W. Kim and Y. Kim,A Trust Evaluation Model for Cloud Computing, Grid and Distributed Computing Communications in Computer and Information Science, vol. 63, pp.184-192, (2009).

DOI: 10.1007/978-3-642-10549-4_22

Google Scholar

[24] J. Y. Lee, J. W. Lee, D. W. Cheun and S. D. Kim,A Quality Model for Evaluating Software-as-a-Service in Cloud Computing, 2009 Seventh ACIS International Conference on Software Engineering Research, Management and Applications,pp.261-266, (2009).

DOI: 10.1109/sera.2009.43

Google Scholar