Toward a Methodology to Control Interoperability Improvement Projects Execution

In front of the increasing complexity of information systems, improving enterprise interoperability has become a crucial element for better management. To address this issue, several research projects have been launched during the last decade and have resulted in a set of frameworks which help organizing and performing enterprise interoperability projects efficiently. In addition to these frameworks, many metrics have been also developed to measure the interoperability degree between systems. However, these frameworks and metrics are not sufficient to better control execution of these projects. Indeed, they don’t take into account resource management and unanticipated events or situations that can be encountered during execution. Moreover, there is a real lack in methodologies to deal with this situation. The aim of this paper is to introduce a new approach to control interoperability improvement projects execution by using control theory, project planning theory and a specific quantitative interoperability metric RatIop.

[1]  Yixin Diao,et al.  Feedback Control of Computing Systems , 2004 .

[2]  Badr Elmir,et al.  A Novel Approach for Periodic Assessment of Business Process Interoperability , 2011, ArXiv.

[3]  Kenneth H. Rose,et al.  Book Review: A Guide to the Project Management Body of Knowledge (PMBOK® Guide), Fourth Edition , 2001 .

[4]  Wided Guédria,et al.  Interoperability Maturity Models - Survey and Comparison - , 2008, OTM Workshops.

[5]  David Chen,et al.  An Approach for Enterprise Interoperability Measurement , 2008, MoDISE-EUS.

[6]  Zahir Tari,et al.  On the Move to Meaningful Internet Systems: OTM 2008 Workshops OTM Confederated International Workshops and Posters, ADI, AWeSoMe, COMBEK, EI2N, IWSSA, ... Applications, incl. Internet/Web, and HCI) , 2008 .

[7]  Raj Jain,et al.  Analysis of the Increase and Decrease Algorithms for Congestion Avoidance in Computer Networks , 1989, Comput. Networks.

[8]  Sang Hyuk Son,et al.  A feedback control approach for guaranteeing relative delays in Web servers , 2001, Proceedings Seventh IEEE Real-Time Technology and Applications Symposium.

[9]  S. Parekh,et al.  MIMO control of an Apache web server: modeling and controller design , 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

[10]  Saverio Mascolo.  Classical control theory for congestion avoidance in high-speed Internet , 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

[11]  Joseph L. Hellerstein,et al.  Feedback control of a Lotus Notes server: modeling and control design , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[12]  Terry Williams,et al.  The contribution of mathematical modelling to the practice of project management , 2003 .

[13]  Nicolas Daclin,et al.  Framework for enterprise interoperability , 2006 .

[14]  Ilya V. Kolmanovsky,et al.  Predictive energy management of a power-split hybrid electric vehicle , 2009, 2009 American Control Conference.

[15]  Rainer Ruggaber,et al.  ATHENA - Advanced Technologies for Interoperability of Heterogeneous Enterprise Networks and their Applications , 2006 .

[16]  John M. Colombi,et al.  Survey on Interoperability Measurement , 2007 .

[17]  C. J. Leune,et al.  Interoperability research for networked enterprises applications and software (INTEROP) , 2003 .