Abstract
In activity-centric process paradigm, developing effective and efficient performance models is a hard and laborious problem with many challenges mainly because of the fragmented nature of this paradigm. In this paper, we propose a novel approach to performance monitoring based on business artifact-centric process paradigm. Business artifacts provide an appropriate base for explicit modeling of monitoring contexts. We develop a model-driven two-phase methodology for designing real-time monitoring models. This methodology allows domain experts or business users to focus on defining metric and KPI requirements while the detailed technical specification of monitoring models can be automatically generated from the requirements and underlying business artifacts. This approach dramatically simplifies design of monitoring models and also increases the understandability of monitoring results.
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References
Zisman, M.: Ibm’s vision of the on demand enterprise. In: IBM Almaden Conference on Co-Evolution of Business and Technology (2003)
White, C.: Now is the right time for real-time bi. Information Management Magazine (2004)
Costello, C., Molloy, O.: Building a process performance model for business activity monitoring. Information Systems Development, 237–248 (2009)
Jeng, J.J., Chang, H., Bhaskaran, K.: Policy driven business performance management. In: Sahai, A., Wu, F. (eds.) DSOM 2004. LNCS, vol. 3278, pp. 52–63. Springer, Heidelberg (2004)
Thomas, M., Redmond, R., Yoon, V., Singh, R.: A semantic approach to monitor business process. Commun. ACM 48, 55–59 (2005)
Lakshmanan, G.T., Keyser, P., Slominski, A., Curbera, F., Khalaf, R.: A business centric end-to-end monitoring approach for service composites. In: 2010 IEEE International Conference on Services Computing (SCC 2010), pp. 409–416. IEEE Computer Society, Los Alamitos (2010)
Corea, S., Watters, A.: Challenges in business performance measurement: The case of a corporate it function. In: Alonso, G., Dadam, P., Rosemann, M. (eds.) BPM 2007. LNCS, vol. 4714, pp. 16–31. Springer, Heidelberg (2007)
Luckham, D.C.: The power of events: an introduction to complex event processing in distributed enterprise systems. Addison-Wesley, Boston (2002)
Gassman, B.: How the pieces in a BAM architecture work. Technical report, Gartner Research (2004)
Nesamoney, D.: Bam: Event-driven business intelligence for the real-time enterprise. Information Management Magazine 14, 38–48 (2004)
White, S.A.: Introduction to BPMN. IBM Cooperation (May 2004)
Nigam, A., Caswell, N.S.: Business artifacts: An approach to operational specification. IBM Systems Journal 42, 428–445 (2003)
Bhattacharya, K., Caswell, N.S., Kumaran, S., Nigam, A., Wu, F.Y.: Artifact-centered operational modeling: Lessons from customer engagements. IBM Systems Journal 46, 703–721 (2007)
Chao, T., Cohn, D., Flatgard, A., Hahn, S., Linehan, M.H., Nandi, P., Nigam, A., Pinel, F., Vergo, J., Wu, F.Y.: Artifact-based transformation of IBM global financing. In: Dayal, U., Eder, J., Koehler, J., Reijers, H.A. (eds.) BPM 2009. LNCS, vol. 5701, pp. 261–277. Springer, Heidelberg (2009)
Sill, B.: Brand metrics can help restaurant service measure up to customer expectations. Nation’s Restaurant News, 24 (May 27, 2002)
IBM: IBM Business Monitor (2010), http://www-01.ibm.com/software/integration/business-monitor/
IBM: Common Event Infrastructure (2004), http://www-01.ibm.com/software/tivoli/features/cei/
Cohn, D., Dhoolia, P., Heath, F., Pinel, F., Vergo, J.: Siena: From power point to web app in 5 minutes. In: Bouguettaya, A., Krueger, I., Margaria, T. (eds.) ICSOC 2008. LNCS, vol. 5364, pp. 722–723. Springer, Heidelberg (2008)
White, S.: Best practices for using websphere business modeler and monitor. Technical report, IBM (2006)
Ballard, C., White, C., McDonald, S., Myllymaki, J., McDowell, S., Goerlich, O., Neroda, A.: Business performance management... meets business intelligence (2005), http://www.redbooks.ibm.com/abstracts/sg246340.html
Kaplan, R.S., Norton, D.P.: The balanced scorecard - measures that drive performance. Harvard Business Review 70, 71–79 (1992)
Folan, P., Browne, J.: A review of performance measurement: towards performance management. Computers in Industry 56, 663–680 (2005)
Neely, A., Richards, H., Mills, J., Platts, K., Bourne, M.: Designing performance measures: a structured approach. International Journal of Operations & Production Management 17, 1131–1152 (1997)
IBM: Ibm cognos now! v4.6 (2008)
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Liu, R., Vaculín, R., Shan, Z., Nigam, A., Wu, F. (2011). Business Artifact-Centric Modeling for Real-Time Performance Monitoring. In: Rinderle-Ma, S., Toumani, F., Wolf, K. (eds) Business Process Management. BPM 2011. Lecture Notes in Computer Science, vol 6896. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23059-2_21
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DOI: https://doi.org/10.1007/978-3-642-23059-2_21
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