Dynamic adaptation of complex distributed systems is largely based on requirement engineering and change management. The growing complexity, uncertainty, and instability of environment create a problem for traditional global control and total quality management approaches. The new generation of tools supporting the flow of requests for change and their impact on operational system performance with respect to Service-Level Objectives (SLOs) offer tractability of all requested and completed services. The hard part is in determining the possible general impact of changes on the system in the medium and long-term time intervals as well as to negotiate and modify the flow of changes as to maximize SLO utility and satisfy important high-level non-functional requirements. The current paper proposes an architecture and a framework allowing to simplify the holistic aspects of requirement engineering and change management. The architecture organically incorporates a high-level feature set balancing and optimization processes dynamically linked to the workflow of virtualized resource management operations.
|Keywords:||Requirements, Systems, Requirement Engineering, Adaptive Systems, Learning, Systems Architecture|
Assocate Professor, Anisfield School of Business, Ramapo College of New Jersey, Mahwah, New Jersey, USA
Professor of Information Systems, Anisfield School of Business, Ramapo College of New Jersey, Mahwah, New Jersey, USA
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