The Vision of Autonomic Computing
Computer
Applying Topic Maps to Ad Hoc Workflows for Semantic Associative Navigation in Process Networks
CRIWG '01 Proceedings of the Seventh International Workshop on Groupware
Managing Evolving Workflow Specifications
COOPIS '98 Proceedings of the 3rd IFCIS International Conference on Cooperative Information Systems
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
The dawning of the autonomic computing era
IBM Systems Journal
Correctness criteria for dynamic changes in workflow systems: a survey
Data & Knowledge Engineering - Special issue: Advances in business process management
Design and Evaluation of an Autonomic Workflow Engine
ICAC '05 Proceedings of the Second International Conference on Automatic Computing
Process-aware information systems: bridging people and software through process technology
Process-aware information systems: bridging people and software through process technology
Autonomic Computing
Autonomic internet-scale workflows
Proceedings of the 3rd International Workshop on Monitoring, Adaptation and Beyond
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In a world of dynamic and discontinuous change, systems constantly need to adapt to new conditions so that they can survive and flourish in their environment. Autonomic computing emerged as a research field that takes up this challenge and aims to build systems that are capable of adapting automatically to dynamically changing environments (Self-configuring), discovering, diagnosing and reacting to disruptions (Self-healing), monitoring and tuning resources automatically (Self-optimizing) and anticipating, detecting, identifying and protecting themselves from attacks (Self-protecting) [3]. A major application area for autonomic computing is intended to be system administration, aiming to free system administrators from the details of system operation and maintenance [8], improving robustness of systems and decreasing total cost of ownership. However, the vision of autonomic computing does not need to be restricted to the area of system administration. For example, much research has been done in the area of process-aware information systems [2] such as Workflow Management, Enterprise Resource Planning, Business-to-Business and Customer Relationship systems to effectively and efficiently deal with change on different levels and scales. Frequent questions in these domains include: How can changes to workflows be accommodated? How can flexibility and adaptability of running workflow instances be increased? How can workflow management systems themselves optimize workflow definitions? The type of questions raised here seems to address issues that are similarly addressed by research in autonomic computing, where dealing with change represents a major concern. However, little research has been done on the intersection between these two domains [4]. Based on this observation, this contribution aims to tackle the question: "Can the principles of autonomic computing be applied to workflow management - and if so, how?"