Abstract
Over the last decade, scientific workflows have been become a remarkable paradigm, which integrates distributed heterogeneous computational and data resources and assists scientists to perform data management, analysis, simulation in silico experiments. However, compared to traditional business workflows, scientific processes still haven’t been widely addressed and shared because of their extra requirements. In this paper, inspired by the spirit of subject-oriented business process management (S-BPM), we propose a rule agent-oriented approach to model weakly-structured scientific processes, where each agent has an internal behavior and the scientific workflow execution is driven by the messaging between distributed rule agents. As a proof-of-concept implementation we use the Web rule language Prova to declaratively represent the knowledge-intensive scientific logic as semantic rules, wrapped in the agents, and to support message-driven conversation-based interactions between these rule-based agents.
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Andrews, T., Curbera, F., Dholakia, H., Goland, Y., Klein, J., Leymann, F., Liu, K., Roller, D., Smith, D., Thatte, S., Trickovic, I., Weerawarana, S.: Business Process Execution Language for Web Services Version 1.1. Technical report, BEA, IBM, Microsoft, SAP, Siebel (2003)
Barga, R., Gannon, D.: Scientific versus Business Workflows. In: Taylor, I.J., Deelman, E., Gannon, D.B., Shields, M. (eds.) Workflows for e-Science, pp. 9–16. Springer, London (2007)
Barker, A., van Hemert, J.: Scientific Workflow: A Survey and Research Directions. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds.) PPAM 2007. LNCS, vol. 4967, pp. 746–753. Springer, Heidelberg (2008)
Barker, A., Mann, R.G.: Agent-Based Scientific Workflow Composition, vol. 351, pp. 485–488 (2006)
Barker, A., Mann, R.G.: Flexible Service Composition. In: Klusch, M., Rovatsos, M., Payne, T.R. (eds.) CIA 2006. LNCS (LNAI), vol. 4149, pp. 446–460. Springer, Heidelberg (2006)
Buhler, P.A., Vidal, J.M.: Adaptive Workflow = Web Services + Agents. In: Proceedings of the International Conference on Web Services, pp. 131–137. CSREA Press (2003)
Schmidt, W., Stary, C., Obermeier, S., Börger, E., Fleischmann, A. (eds.): Subject-Oriented Business Process Management. Springer (2012)
Frincu, M., Craciun, C.: Dynamic and Adaptive Rule-Based Workflow Engine for Scientific Problems in Distributed Environments, ch. 10, pp. 227–251. CRC Press (2010)
Horrocks, I., Patel-Schneider, P.F.: Reducing OWL Entailment to Description Logic Satisfiability. Journal of Web Semantics, 17–29 (2003)
Horrocks, I., Patel-Schneider, P.F., Boley, H., Tabet, S., Grosof, B., Dean, M.: SWRL: A Semantic Web Rule Language Combining OWL and RuleML. Technical report, World Wide Web Consortium (May 2004)
Karastoyanova, D.: On Scientific Experiments and Flexible Service Compositions. In: Sachs, K., Petrov, I., Guerrero, P. (eds.) Buchmann Festschrift. LNCS, vol. 6462, pp. 175–194. Springer, Heidelberg (2010)
Kozlenkov, A.: Prova Rule Language Version 3.0 User’s Guide. Technical report (2010)
Lam, J., Guerin, F., Vasconcelos, W., Norman, T.J.: Building Multi-Agent Systems for Workflow Enactment and Exception Handling. In: Padget, J., Artikis, A., Vasconcelos, W., Stathis, K., da Silva, V.T., Matson, E., Polleres, A. (eds.) COIN 2009. LNCS, vol. 6069, pp. 53–69. Springer, Heidelberg (2010)
Lu, S., Zhang, J.: Collaborative Scientific Workflows. In: Proceedings of the IEEE International Conference on Web Services, Los Angeles, CA, USA, pp. 527–534. IEEE (2009)
Lucian, M.: Building a Scalable Enterprise Applications Using Asynchronous IO and SEDA Model. Technical report, TheServerSide.com (2008)
Ludäscher, B., Altintas, I., Berkley, C., Higgins, D., Jaeger, E., Jones, M., Lee, E.A., Tao, J., Zhao, Y.: Scientific Workflow Management and The Kepler System. Concurrency - Practice and Experience 18(10), 1039–1065 (2006)
Paschke, A.: Rule Responder HCLS eScience Infrastructure. In: Proceedings of the 3rd International Conference on the Pragmatic Web: Innovating the Interactive Society, ICPW 2008, pp. 59–67. ACM, New York (2008)
Paschke, A.: A Semantic Rule and Event Driven Approach for Agile Decision-Centric Business Process Management. In: Abramowicz, W., Llorente, I.M., Surridge, M., Zisman, A., Vayssière, J. (eds.) ServiceWave 2011. LNCS, vol. 6994, pp. 254–267. Springer, Heidelberg (2011)
Paschke, A., Boley, H., Zhao, Z., Teymourian, K., Athan, T.: Reaction RuleML 1.0: Standardized Semantic Reaction Rules. In: Bikakis, A., Giurca, A. (eds.) RuleML 2012. LNCS, vol. 7438, pp. 100–119. Springer, Heidelberg (2012)
Paschke, A., Vincent, P., Springer, F.: Standards for Complex Event Processing and Reaction Rules. In: Proceedings of the 5th International Conference on Rule-Based Modeling and Computing on the Semantic Web, RuleML 2011, pp. 128–139. Springer, Heidelberg (2011)
Paschke, A., Zhao, Z.: Process Makna - A Semantic Wiki for Scientific Workflows. CoRR, abs/1012.1643 (2010)
Paschke, Z., Zhao, Z.: Rule Responder: A Rule-Based Semantic eScience Service Infrastructure. In: Burger, A., Scott Marshall, M., Romano, P., Paschke, A., Splendiani, A. (eds.) SWAT4LS. CEUR Workshop Proceedings, vol. 698. CEUR-WS.org (2010)
Bayer Environmental Science. Ant Identification Guide (2010)
Sonntag, M., Karastoyanova, D., Leymann, F.: The Missing Features of Workflow Systems for Scientific Computations. In: Proceedings of the 3rd Grid Workflow Workshop (GWW), Software Engineering Conference, GI-edn. GI-Edition Lecture Notes in Informatics (LNI), vol. P-160, pp. 209–216. Gesellschaft für Informatik e.V., GI (February 2010)
Tolosana-Calasanz, R., Bañares, J.A., Rana, O.F., Álvarez, P., Ezpeleta, J., Hoheisel, A.: Adaptive Exception Handling for Scientific Workflows. Concurr. Comput.: Pract. Exper. 22(5), 617–642 (2010)
Weigand, H., Van Den Heuvel, W.-J., Hiel, M.: Rule-Based Service Composition and Service-Oriented Business Rule Management. In: Proceedings of the International Workshop on Regulations Modelling and Deployment, pp. 1–12. Citeseer (2008)
Welsh, M., Culler, D.E., Brewer, E.A.: SEDA: An Architecture for Well-conditioned, Scalable Internet Services. SIGOPS Oper. Syst. Rev. 35, 230–243 (2001)
Welsh, M., Culler, D.E., Brewer, E.A.: SEDA: An Architecture for Well-Conditioned, Scalable Internet Services. In: SOSP, pp. 230–243
Yildiz, U., Guabtni, A., Ngu, A.H.H.: Business versus Scientific Workflows: A Comparative Study. In: Proceedings of the 2009 Congress on Services - I, SERVICES 2009, pp. 340–343. IEEE Computer Society, Washington, DC (2009)
Ellisman, M.H., Fahringer, T., Fox, G., Gannon, D., Goble, C.A., Livny, M., Moreau, L., Myers, J., Gil, Y., Deelman, E.: Examining the Challenges of Scientific Workflows. IEEE Computer 40(12), 24–32 (2007)
Zhao, Z., Teymourian, K., Paschke, A., Boley, H., Athan, T.: Loosely-Coupled and Event-Messaged Interactions with Reaction RuleML 1.0 in Rule Responder. In: Proceedings of the 6th International Rule Challenge at RuleML 2012 (2012)
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Zhao, Z., Paschke, A. (2013). Rule Agent-Oriented Scientific Workflow Execution. In: Fischer, H., Schneeberger, J. (eds) S-BPM ONE - Running Processes. S-BPM ONE 2013. Communications in Computer and Information Science, vol 360. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36754-0_7
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DOI: https://doi.org/10.1007/978-3-642-36754-0_7
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