Abstract
As large-scale computational applications in various scientific domains have been utilized over many integrated sets of grid computing resources, the difficulty of their execution management and control has increased. It is beneficial to refer job history from many application executions, in order to identify application’s characteristics and to decide grid resource selection policies meaningfully. In this paper, we apply a statistical technique, Plackett-Burman design with fold-over, for analyzing grid environments and execution history of applications. It identifies main factors in grid environments and applications, ranks based on how much they affect. Especially, the effective factors could be used for future resource selection. Through this process, application is performed on the selected resource and the result is added to job history. We analyzed job history from an aerospace research grid system. The effective key factors were identified and applied to resource selection policy.
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Hur, C., Kim, Y., Kim, J., Cho, K.W.: A Prediction Strategy of Resource Selection with Pattern of Job History in e-AIRS 2.0 System. In: KIISE HPC Winter Conference (February 2009)
Hur, C., Kim, Y.: Prediction Scheduling with Patterns of Job History in e-AIRS System. In: KIISE Fall Conference, October 2008, vol. 35(B), pp. 520–525 (2008)
Montgomery Douglas, C.: Design and Analysis of Experiments, 5th edn. John Wiley & Sons, Inc., Chichester (2000)
Krauter, K., Buyya, R., Maheswaran, M.: A taxonomy and survey of grid resource management systems for distributed computing. Software—Practice & Experience 32(2), 135–164 (2002)
Losup, A., Li, H., Jan, M., Anoep, S., Dumitrescu, C., Wolters, L., Epema, D.H.J.: The Grid Workloads Archive. Future Generation Computer Systems 24(7), 672–686 (2008)
Vanderster, D.C., Dimopoulos, N.J., Sobie, R.J.: Improved Grid Metascheduler Design using the Plackett-Burman Methodology. In: Proceedings of the 21st International Symposium on High Performance Computing Systems and Applications (May 2007)
Wrzesinska, G., Maassen, J., Bal, H.E.: Self-adaptive applications on the grid. In: Proceedings of the 12th ACM SIGPLAN symposium on Principles and practice of parallel programming, San Jose, California, USA (March 2007)
Casanova, H., Obertelli, G., Berman, F., Wolski, R.: The AppLes Parameter Sweep Template: User-level middleware for the Grid. In: IEEE Supercomputing 2000, Dallas, Texas, USA, November 4-10 (2000)
Kim, J., Kim, Y., Kim, B.S., Ahn, J.W., Kim, J.-H., Lee, J.-S., Choi, J.G., Lee, G.-B., Cho, J.H., Kim, J., Hur, C., Kang, S.-H., Rye, G.-Y.: Development of e-Science technology for fluid dynamic research in various fields report I-08-GG-05-01R-1. Korea Institute of Science and Technology Information (2008)
Shivam, P., Babu, S., Chase, J.: Active and Accelerated Learning of Cost Models for Optimizing Scientific Applications. In: International Conference on Very Large Data Bases (VLDB), Seoul, Korea (September 2006)
Shivam, P.: Proactive Experiment-Driven Learning for System Management. Department of Computer Science. Duke University (2007)
Park, S.H.: Design of Experiments, Minyoungsa (2005)
Computational Fluid Dynamics, http://www.cfd-online.com/
e-AIRS 2.0, http://repository.kisti.re.kr:8080/gridsphere/gridsphere
Korea Institution of Science and Technology Information, http://www.kisti.re.kr/
Pacific Rim Application and Grid Middleware Assembly, http://www.pragma-gird.net
PRAGMA Grid Monitoring home page, http://pragma-goc.rocksclusters.org/scmsweb/
The Grid Workloads Archive, http://gwa.ewi.tudelft.nl
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Hur, C., Kim, Y. (2009). Adaptive Grid Resource Selection Based on Job History Analysis Using Plackett-Burman Designs. In: Hong, C.S., Tonouchi, T., Ma, Y., Chao, CS. (eds) Management Enabling the Future Internet for Changing Business and New Computing Services. APNOMS 2009. Lecture Notes in Computer Science, vol 5787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04492-2_14
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DOI: https://doi.org/10.1007/978-3-642-04492-2_14
Publisher Name: Springer, Berlin, Heidelberg
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