A Service Level Agreement Management Architecture to Improve an Information System, Business Processes Administration and Evolution

• Autorzy: Mathieu H. , Biennier F.
• Języki publikacji: EN

Abstrakty

EN

Due to economic constraints, organisations are more and more distributed involving a costly communication and information system infrastructure. This involves setting tools to evaluate and improve the quality of service concerning the enterprise’s operation. This can be achieved thanks to a service contract network, (or a service level agreement network): each contract controls a part of the information system and evaluates quality of service and performance indicators. We exploit then a management tool based on mobile agents to collect and evaluate the indicators defined in the SLA network, thus enabling to control the global Information System quality of service. At last, we show on a practical case study how simple indicators can be used to detect technical breakdowns so that new parameters can be set to get back normal functioning, and thus to maintain a good quality of service.

Słowa kluczowe

EN

quality of service; service level agreements; performance and quality indicators

• Wydawca: Wydawnictwo Uniwersytetu Jagiellońskiego
• Czasopismo: Schedae Informaticae
• Rocznik: 2007
• Tom: Vol. 16
• Strony: 69--86
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Mathieu H.

autor

Biennier F.

• LIESP, Bat. B. Pascal, INSA de Lyon, 69621 Villeurbanne Cédex, France,

Bibliografia

• [1] Tidd J., Bessant J., Pavitt K.; Managing Innovation, 3rd ed., John Wiley and Sons, New York 2005.
• [2] Malone T.W.; Is empowerment just a fad? Control, decision making, and IT, Sloan Management Review: Winter Issue, 1997.
• [3] Fouquet B.; Quality of Service Management: Networks, Servers and Applications, Eyrolles,Paris 2000.
• [4] De Franceschi A.S.M., Kormann L.F., Westphall C.B.; A performance application for proactive network management, Proceedings of IEEE Second International Workshop on System Management (SMW’96), IEEE Computer Society, Toronto, Canada, 1996, pp. 15–19.
• [5] Carnegie Mellon University, The Survivable Network Analysis Method: Assessing Survivability of Critical Systems, Technical Report, 2000.
• [6] The Telemanagement Forum, (http://www.tmforum.org/), 2005.
• [7] The TeleManagement Forum and The Open Group, SLA Management Handbook, Vol. 4:Enterprise Perspective, Technical Report, 2004.
• [8] Mathieu H.; Infrastructure and process cross-modelisation for distributed enterprise proactive administration., PhD Thesis, INSA de Lyon, 2004.
• [9] Tomarchio O., Puliafito A.; Using mobile agents to implement flexible network management strategies, Computer Communications, 23(8), 2000, pp. 708–719.
• [10] Kramer K.J., Minar N., Maes P.; Tutorial: Mobile Software Agents for Dynamic Routing, Mobile Computing and Communications Review, 3(2), 2000, pp. 12–16.
• [11] Caro G.D., Dorigo M.; AntNet: Distributed Stimergetic Control for Communica-tions Network, Journal of Artificial Intelligence Research, 9, 1998, pp. 317–365.
• [12] Fenet S.; Toward a paradigm for programming distributed applications based on social insects behaviour: application to network security, PhD Thesis, 2001.
• [13] Schulz S., Schulz M., Tanner A.; Frame of Interest Approach on Quality of Prediction for Agent-based Network Monitoring, Proceedings of the International Conference on Architecture of Computing Systems 2004 (ARCS’04), Springer, Augsburg, Germany, 2004,pp. 246–259.
• [14] Open Source, Aglets framework (http://aglets.sourceforge.net/), 2003.