DIPAS: A distributed performance analysis service for grid service-based workflows

Future Generation Computer Systems

Volumn 25, Issue 4, 2009, Pages 385-398

  Truong, Hong Linh ^a   Brunner, Peter ^b   Nae, Vlad ^b   Fahringer, Thomas ^b  

^a VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^b UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Grid computing; Grid workflows; Grid Web services; Performance monitoring and analysis; Performance problems

Indexed keywords

COMPUTER SOFTWARE; MANAGEMENT; MIDDLEWARE;

DISTRIBUTED PERFORMANCES; GRID SERVICES; GRID WORKFLOW; GRID WORKFLOWS; GRID/WEB SERVICES; MIDDLEWARE SERVICES; PERFORMANCE LOSSES; PERFORMANCE MONITORING AND ANALYSIS; PERFORMANCE PROBLEMS; WORKFLOWS;

GRID COMPUTING;

EID: 58149215888     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2008.10.005     Document Type: Article

References (44)

1. Yu J., and Buyya R. A taxonomy of workflow management systems for grid computing. Journal of Grid Computing 3 3-4 (2005) 171-200. http://dx.doi.org/10.1007/s10723-005-9010-8 URL: http://dx.doi.org/10.1007/s10723-005-9010-8
2. Kyriazis D., Tserpes K., Menychtas A., Litke A., and Varvarigou T. An innovative workflow mapping mechanism for grids in the frame of quality of service. Future Generation Computer Systems 24 6 (2008) 498-511
3. Shi Z., and Dongarra J. Scheduling workflow applications on processors with different capabilities. Future Generation Computer Systems 22 6 (2006) 665-675
4. Yu J., Buyya R., and Tham C.-K. Cost-based scheduling of scientific workflow application on utility grids. e-Science (2005), IEEE Computer Society 140-147
5. L. Huang, D.W. Walker, O.F. Rana, Y. Huang, Dynamicworkflow management using performance data, ccgrid, 0, 2006, pp. 154-157
6. Glatard T., Montagnat J., Emsellem D., and Lingrand D. A Service-Oriented Architecture enabling dynamic services grouping for optimizing distributed workflows execution. Future Generation Computer Systems 24 7 (2008) 720-730. http://dx.doi.org/10.1016/j.future.2008.02.011 URL: http://dx.doi.org/10.1016/j.future.2008.02.011
7. Heinis T., Pautasso C., and Alonso G. Design and evaluation of an autonomic workflow engine. ICAC (2005), IEEE Computer Society 27-38
8. Singh G., Kesselman C., and Deelman E. Optimizing grid-based workflow execution. Journal of Grid Computing 3 3-4 (2005) 201-219. http://dx.doi.org/10.1007/s10723-005-9011-7
9. The K-WfGrid Project. http://www.kwfgrid.eu(accessed on 06.06.07)
10. H.-L. Truong, P. Brunner, T. Fahringer, F. Nerieri, R. Samborski, B. Balis, M. Bubak, K. Rozkwitalski, K-WfGrid distributed monitoring and performance analysis services for workflows in the grid, in: 2nd IEEE International Conference on e-Science and Grid Computing, IEEE Computer Society, Amsterdam, The Netherlands, 2006
11. In: Bubak M., and Unger S. (Eds). K-WfGrid-The knowledge-based workflow system for grid applications (2007), Academic Computer Centre CYFRONET AGH. http://www.cyf-kr.edu.pl/cgw06/info/K-WfGrid_PROCEEDINGS.pdf
12. I. Foster, J. Frey, S. Graham, S. Tuecke, K. Czajkowski, D. Ferguson, F. Leymann, M. Nally, T. Storey, W. Vambenepe, S. Weerawarana, Modeling stateful resources with web services, specification, Globus Alliance, Argonne National Laboratory, IBM, USC ISI, Hewlett-Packard, January 2004
13. K-WfGrid GEMINI. http://gemini.icsr.agh.edu.pl/(accessed on 06.06.07)
14. K-WfGrid GWES (Grid Workflow Execution Service). http://www.gridworkflow.org/kwfgrid/gwes/docs/(accessed on 05.06.07)
15. Kryza B., Slota R., Majewska M., Pieczykolan J., and Kitowski J. Grid organizational memory - provision of a high-level grid abstraction layer supported by ontology alignment. Future Generation Computer Systems 23 3 (2007) 348-358
16. Nerieri F., Prodan R., Fahringer T., and Truong H.-L. Performance analysis of grid workflow applications. Proceedings of The 7th IEEE/ACM International Conference on Grid Computing, Grid'06 (2006), IEEE Computer Society Press
17. OpenDHT. http://www.opendht.org(accessed on 06.06.07)
18. K-WfGrid GOM (Grid Organizational Memory). http://gom.kwfgrid.net/web/space/welcome(accessed on 06.06.07)
19. The Grid Workflow Description Language (GWorkflowDL). http://www.gridworkflow.org/kwfgrid/gworkflowdl/docs/
20. Truong H.-L., Dustdar S., and Fahringer T. Performance metrics and ontologies for grid workflows. Future Generation Computer Systems 23 6 (2007) 760-772
21. Workflow Patterns. http://is.tm.tue.nl/research/patterns/patterns.htm (accessed on 21.08.08)
22. Globus Project. http://www.globus.org
23. GridSphere Portal Framework. http://www.gridsphere.org(accessed on 06.06.07)
24. JFreeChart. http://www.jfree.org/jfreechart/(accessed on 06.06.07)
25. JGraph. http://www.jgraph.com/(accessed 06.06.07)
26. The K-WfGrid Project: Coordinated Traffic Management. http://www.kwfgrid.eu/index.php?option=com_content&task=view&id=32&itemid=51 (accessed on 06.06.07)
27. Knüpfer A., Brunst H., and Nagel W.E. High performance event trace visualization. PDP (2005), IEEE Computer Society 258-263
28. Cain H.W., Miller B.P., and Wylie B.J.N. A callgraph-based search strategy for automated performance diagnosis (distinguished paper). In: Bode A., Ludwig T.L., Karl W., and Wismüller R. (Eds). Euro-Par. Lecture Notes in Computer Science vol. 1900 (2000), Springer 108-122
29. Seragiotto C., and Fahringer T. Performance analysis for distributed and parallel java programs with aksum. CCGRID (2005), IEEE Computer Society 1024-1031
30. Kim K.-H., and Ellis C.A. Performance analytic models and analyses for workflow architectures. Information Systems Frontiers 3 3 (2001) 339-355
31. Cardoso J., Sheth A.P., and Miller J.A. Workflow quality of service. In: Kosanke K., Jochem R., Nell J.G., and Bas A.O. (Eds). ICEIMT. IFIP Conference Proceedings vol. 236 (2002), Kluwer 303-311
32. A.F. Abate, A. Esposito, N. Grieco, G. Nota, Workflow performance evaluation through wpql, in: Proceedings of the 14th International Conference on Software Engineering and Knowledge Engineering, ACM Press, 2002, pp. 489-495
33. WebLogic Process Integrator Overview. http://edocs.beasys.com/wlpi/wlpi11/studio/index.htm(accessed on 06.06.07)
34. Pauw W.D., Lei M., Pring E., Villard L., Arnold M., and Morar J.F. Web services navigator: Visualizing the execution of web services. IBM Systems Journal 44 4 (2005) 821-846
35. M.W. Johnson, Monitoring and diagnosing applications with arm 4.0, in: Int. CMG Conference, Computer Measurement Group, 2004, pp. 473-484
36. Kacsuk P., Dozsa G., Kovacs J., Lovas R., Podhorszki N., Balaton Z., and Gombas G. P-GRADE: A Grid programming environment. Journal of Grid Computing 1 2 (2003) 171-197
37. Ribler R.L., Vetter J.S., Simitci H., and Reed D.A. Autopilot: Adaptive control of distributed applications. HPDC (1998) 172-179
38. Wismüller R., Bubak M., and Funika W. High-level application-specific performance analysis using the g-pm tool. Future Generation Computer Systems 24 2 (2008) 121-132
39. Taverna. http://taverna.sourceforge.net/(accessed on 06.06.07)
40. Ontogrid project, http://www.ontogrid.net(accessed on 06.06.07)
41. Brunner P., Truong H.L., and Fahringer T. Performance monitoring and visualization of grid scientific workflows in askalon. In: Gerndt M., and Kranzlmüller D. (Eds). HPCC. Lecture Notes in Computer Science vol. 4208 (2006), Springer 170-179
42. R. Bose, I. Foster, L. Moreau, Report on the International Provenance and Annotation Workshop: (ipaw'06) 3-5 May 2006, Chicago, SIGMOD Rec. 35 (3) (2006) 51-53
43. Y.L. Simmhan, B. Plale, D. Gannon, A framework for collecting provenance in data-centric scientific workflows, in: ICWS 0, 2006, pp. 427-436
44. Business Process Execution Language for Web Services. http://www-128.ibm.com/developerworks/library/specification/ws-bpel/(accessed on 06.06.07)