Resource allocation vs. business process improvement: How they impact on each other

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5240 LNCS, Issue , 2008, Pages 228-243

  Xu, Jiajie ^a   Liu, Chengfei ^a   Zhao, Xiaohui ^a  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ENTERPRISE RESOURCE MANAGEMENT; HEURISTIC ALGORITHMS; OPTIMIZATION; PROCESS ENGINEERING;

BUSINESS PROCESS; BUSINESS PROCESS IMPROVEMENT; BUSINESS PROCESS MODEL; HEURISTIC RULES; PROCESS CHARACTERISTICS; RESOURCE MANAGEMENT; STRUCTURAL FEATURE; TASK DEPENDENCIES;

RESOURCE ALLOCATION;

EID: 57049154567     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85758-7_18     Document Type: Conference Paper

References (18)

1. Blythe, J., Jain, S., Deelman, E., Gil, Y., Vahi, K., Mandal, A., Kennedy, K.: Task scheduling strategies for workflow-based applications in grids. In: Proceedings of the 5th International Symposium on Cluster Computing and the Grid, Cardiff, UK, pp. 759-767 (2005)
2. Du, W., Eddy, G., Shan, M.-C.: Distributed resource management in workflow environments. In: Proceedings of the 5th Database Systems for Advanced Applications, Melbourne, Australia, pp. 521-530 (1997)
3. Etoundi, R.A., Ndjodo, M.F.: Feature-oriented workflow modelling based on enterprise human resource planning. Business Process Management Journal 12, 608-621 (2006)
4. Huang, Y.-N., Shan, M.-C.: Policies in a resource manager of workflow systems: modeling, enforcement and management. In: Proceedings of the 15th International Conference on Data Engineering, p. 104. IEEE Computer Society, Sydney (1999)
5. Eder, J., Panagos, E., Rabinovich, M.: Time constraints in workflow systems. In: Jarke, M., Oberweis, A. (eds.) CAiSE 1999. LNCS, vol. 1626, pp. 286-300. Springer, Heidelberg (1999)
6. Lee, Y.-J., Lee, D.-W., Chang, D.-J.: Optimal task scheduling algorithm for nonpreemptive processing system. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds.) APWeb 2006. LNCS, vol. 3841, pp. 905-910. Springer, Heidelberg (2006)
7. Liu, C., Orlowska, M.E., Li, H.: Automating handover in dynamic workflow environments. In: Proceedings of the 10th International Conference on Advanced Information Systems Engineering, pp. 159-171 (1998)
8. R-Moreno, M.D., Borrajo, D., Cesta, A., Oddi, A.: Integrating planning and scheduling in workflow domains. Expert Systems with Applications 33, 389-406 (2006)
9. Senkul, P., Toroslu, I.H.: An architecture for workflow scheduling under resource allocation constraints. Information System 30, 399-422 (2004)
10. Topcuoglu, H., Hariri, S., Wu, M.-Y.: Performance-effective and low-complexity task scheduling for heterogeneous computing. IEEE Transactions on Parallel and Distributed Systems 13, 260-274 (2002)
11. van der Aalst, W., van Hee, K.: Workflow management: models, methods, and systems. MIT Press, Cambridge (2004)
12. Wieczorek, M., Prodan, R., Fahringer, T.: Scheduling of scientific workflows in the ASKALON grid environment. SIGMOD Record 34, 56-62 (2005)
13. Wu, A.S., Yu, H., Jin, S., Lin, K.-C., Schiavone, G.A.: An incremental genetic algorithm approach to multiprocessor scheduling. IEEE Transactions on Parallel and Distributed Systems 15, 824-834 (2004)
14. Yu, J., Buyya, R., Tham, C.-K.: Cost-based scheduling of scientific workflow application on utility grids. In: International Conference on e-Science and Grid Technologies, Melbourne, Australia, pp. 140-147 (2005)
15. Yu, J., Buyya, R.: Scheduling scientific workflow applications with deadline and budget constraints using genetic algorithms. Scientific Programming 14, 217-230 (2006)
16. Zhao, X., Liu, C.: Version management in the business process change context. In: Proceedings of the 5th International Conference on Business Process Management, pp. 198-213 (2007)
17. Zhao, X., Liu, C., Yang, Y., Sadiq, W.: Handling instance correspondence in inter-organisational workflows. In: Proceedings of the 19th International Conference on Advanced Information Systems Engineering, pp. 51-65 (2007)
18. Zomaya, A.Y., Teh, Y.-H.: Observations on using genetic algorithms for dynamic load-balancing. IEEE Transactions on Parallel and Distributed Systems 12, 899-911 (2001)