An Introductory Overview and Survey of Business-Driven IT Management

Business-driven IT management (BDIM) is a new, evolutionary and comprehensive IT management approach that aims to improve IT infrastructure, service quality and business results at the same time. To that end, it needs to model and numerically estimate IT-business linkage. BDIM concepts are finding ways into ITIL-based management processes as well as into new IT infrastructure product offerings such as autonomic computing in order to add increased value to the business. In the hope of contributing to define and characterize this new approach, this paper presents an introductory overview of BDIM, discusses its main concepts, illustrates gains over conventional IT management approaches and offers a survey of some recent work on the topic in the literature.

[1]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .

[2]  W. Edwards Deming,et al.  Out of the Crisis , 1982 .

[3]  R. Kaplan,et al.  The balanced scorecard--measures that drive performance. , 2015, Harvard business review.

[4]  Virgílio A. F. Almeida,et al.  Business-oriented resource management policies for e-commerce servers , 2000, Perform. Evaluation.

[5]  Victoria Ungureanu,et al.  Establishing Business Rules for Inter-Enterprise Electronic Commerce , 2000, DISC.

[6]  Petr Jan Horn,et al.  Autonomic Computing: IBM's Perspective on the State of Information Technology , 2001 .

[7]  Virgílio A. F. Almeida,et al.  Capacity Planning for Web Services: Metrics, Models, and Methods , 2001 .

[8]  Yixin Diao,et al.  A Business-Oriented Approach to the Design of Feedback Loops for Performance Management , 2001, DSOM.

[9]  Mark S. Squillante,et al.  On maximizing service-level-agreement profits , 2001, EC.

[10]  Blaize Horner Reich,et al.  In their own words: CIO visions about the future of in-house IT organizations , 2003, DATB.

[11]  Fabio Casati,et al.  Business-oriented management of Web services , 2003, CACM.

[12]  Christopher J. Prom Business Process Management (BPM): The Third Wave , 2003 .

[13]  George Pavlou,et al.  DESIGN AND IMPLEMENTATION OF A ARCHITECTURE POLICY-BASED RESOURCE MANAGEMENT , 2004 .

[14]  Claudio Bartolini,et al.  Business Driven Prioritization of Service Incidents , 2004, DSOM.

[15]  Marco Aiello,et al.  Associating assertions with business processes and monitoring their execution , 2004, ICSOC '04.

[16]  Segev Wasserkrug,et al.  Autonomic self-optimization according to business objectives , 2004, International Conference on Autonomic Computing, 2004. Proceedings..

[17]  Fabio Casati,et al.  Technologies for Business-Driven IT Management , 2004 .

[18]  Kun-Lung Wu,et al.  The CHAMPS system: change management with planning and scheduling , 2004, 2004 IEEE/IFIP Network Operations and Management Symposium (IEEE Cat. No.04CH37507).

[19]  Claudio Bartolini,et al.  Management by Contract: IT Management driven by Business Objectives , 2004 .

[20]  Guido Governatori,et al.  Dealing with contract violations: formalism and domain specific language , 2005, Ninth IEEE International EDOC Enterprise Computing Conference (EDOC'05).

[21]  Filipe Marques,et al.  SLA Design from a Business Perspective , 2005, DSOM.

[22]  Claudio Bartolini,et al.  A Business Driven Management Framework for Utility Computing Environments , 2005 .

[23]  Jeanette Nasem Morgan A Roadmap of Financial Measures for IT Project ROI , 2005, IT Prof..

[24]  Filipe Marques,et al.  Optimal Design of E-Commerce Site Infrastructure from a Business Perspective , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[25]  Filipe Marques,et al.  Business-Oriented Capacity Planning of IT Infrastructure to Handle Load Surges , 2006, 2006 IEEE/IFIP Network Operations and Management Symposium NOMS 2006.

[26]  Carl B. Jackson The Business Impact Assessment Process , 2007, Information Security Management Handbook, 6th ed..

[27]  Mathias Sallé Service Management and IT Governance : Review , Comparative Analysis and their Impact on Utility Computing , .