Testing tasks management in testing Cloud environment

Proceedings - International Computer Software and Applications Conference

Volumn , Issue , 2011, Pages 76-85

  Yu, Lian ^a   Li, Xiaohu ^a   Li, Zhongjie ^b  

^a PEKING UNIVERSITY   (China)

^b IBM CHINA RESEARCH LAB   (China)

Author keywords

Clustering; Fault tolerance; Scheduling; Testing Cloud; Testing tasks

Indexed keywords

CLUSTERING; DOMAIN KNOWLEDGE; FAULT TOLERANCE MECHANISMS; IMPROVED ALGORITHM; MATCHING MECHANISMS; OTHER ALGORITHMS; RESOURCE REQUIREMENTS; RESOURCE UTILIZATIONS; RUNTIME ENVIRONMENTS; TASK MANAGEMENT; TESTING ENVIRONMENT; TESTING ERRORS;

CLOUD COMPUTING; CLUSTERING ALGORITHMS; COMPUTER APPLICATIONS; FAULT TOLERANCE; SCHEDULING ALGORITHMS;

SOFTWARE TESTING;

EID: 80055009075     PISSN: 07303157     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSAC.2011.18     Document Type: Conference Paper

References (28)

1. T. Vengattaraman, P. Dhavachelvan, R. Baskaran, A Model of Cloud Based Application Environment for Software Testing, (IJCSIS) International Journal of Computer Science and Information Security, Vol.7, No.3, 2010
2. Michael A., Armando F., Rean G., Anthony D. J., Randy H. Katz, Andrew Konwinski, Gunho Lee, David A. Patterson, Ariel Rabkin, Ion Stoica, Matei Zaharia. Above the Clouds: A Berkeley View of Cloud Computing. No. UCB/EECS-2009-28, Feb. 2009.
3. Lian Yu, Shuang Su, Jing Zhao, et al, "Performing Unit Testing Based on Testing as a Service (TaaS) Approach", Proceedings of International Conference on Service Science (ICSS) 2008, pp. 127-131.
4. Lian Yu, Wei-Tek Tsai, Xiangji Chen, Linqing Liu, Yan Zhao, Liangjie Tang, Wei Zhao, "Testing as a Service over Cloud", Proceedings of IEEE International Symposium on Service-Oriented System Engineering (SOSE 2010).
5. Lian Yu, Le Zhang, Huiru Xiang, Yu Su, Wei Zhao, Jun Zhu, "A Framework of Testing as a Service", Proceedings of the Conference of Information System Management 2009.
6. Jonathan Mak, Alan Mycroft, Limits of Parallelism Using Dynamic Dependency Graphs, Seventh International Workshop on Dynamic Analysis (WODA 2009).
7. SWRL: A Semantic Web Rule Language Combining OWL and RuleML, http://www.w3.org/Submission/SWRL/.
8. J. Han and M. Kamber, "Data Mining: Concepts and Techniques", Morgan Kaufmann Publishers Inc.2000.
9. OWL Web Ontology Language Overview, http://www.w3.org/TR/owl-features/.
10. Todd M. Austin and Gurindar S. Sohi, Dynamic Dependency Analysis of Ordinary Programs, ISCA '92 Proceedings of the 19th annual international symposium on Computer architecture.
11. Daniel Burrows, Modelling and Resolving Software Dependencies, Conferenza Italiana sul Software Libero (CONFSL 2010).
12. Xu Chen, Ming Zhang, Z. Morley Mao, Paramvir Bahl, Automating Network Application Dependency Discovery: Experiences, Limitations, and New Solutions, USENIX OSDI'08, 2008.
13. MacQueen, J. B. Some methods for classication and analysis of multivariate observations. Proceedings of the Fifth Symposium on Math, Statistics, and Probability (1967, pp. 281-297). Berkeley, CA: University of California Press.
14. Kiri Wagsta, Claire Cardie, Seth Rogers, Stefan Schroedl, Constrained K-means Clustering with Background Knowledge, Proceedings of the Eighteenth International Conference on Machine Learning, 2001, pp. 577-584.
15. Euclidean distance, http://en.wikipedia.org/wiki/Euclidean-distance.
16. Hamming distance, http://en.wikipedia.org/wiki/Hamming-distance.
17. C. L. Liu and James W. Layland "Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment", Project MAC, Massachusetts Institute of Technology and Jet Propulsion Laboratory, California Institute of Technology; Journal of the ACM, 20(1):46 - 61, 1973.
18. L. Sha and J. B. Goodenough. "Real-time Scheduling Theory and Ada." IEEE Computer, pp. 53 - 66, April 1990.
19. Michael L. Pinedo. "Scheduling: Theory, Algorithms and Systems (3rd Edition, Extended)", Springer, 2008, pp. 118-130.
20. W. Kent Fuch, A Parallel Processing Approach To Software Fault Tolerance, ICCD 86.
21. A. Avizienis, "The N-Version Approach to Fault-Tolerant Software." IEEE Trans. On Software Eng. vol. SE-11, pp. 1491-1501. December 1985.
22. J.J. Horning, H.C. Lauer, P.M. Melliar-Smith, B. Randell, A Program Structure For Error Detection And Recovery, Operating Systems, Proceedings of an International Symposium, 1974.
23. Rand, W. M. Objective criteria for the evaluation of clustering methods. Journal of the American Statistical Association, 66, 1971, pp. 846-850.
24. J. Mula, R. Poler, J.P. García-Sabater, F.C. Lario, Models for production planning under uncertainty: A review, International Journal of Production Economics, 2006, vol. 103, issue 1, pages 271-285. (Pubitemid 43866480)
25. Lars Lundberg, Magnus Broberg, and Kamilla Klonowska, Evaluating Heuristic Scheduling Algorithms for High Performance Parallel Processing, A. Veidenbaum et al. (Eds.): ISHPC 2003, pp. 160-173, 2003.
26. Wei Zhao and Krithi Ramamritham, Simple and Integrated Heuristic Algorithms for Scheduling Tasks with Time and Resource Constraints, The Journal of Systems and Software 7, pp. 195-205, 1987
27. Roy H. Campbell, Member, IEEE, and Brian Randell, Error Recovery in Asynchronous Systems, IEEE Transactions on Software Engineering, Vol, SE-12, NO. 8, August 1986
28. John C. Knight, Matthew C. Elder, Xing Du, Error Recovery in Critical Infrastructure Systems, Proceedings of Computer Security, Dependability and Assurance: From Needs to Solutions, 1998