Shetye, Anuj Sunil
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Workflow systems are one of the key technologies enabling automation of business processes and, recently, scientific applications. Traditionally, control of the execution of workflow processes has been centralized, despite the fact that they have frequently involved and coordinated systems executing at distributed computing nodes. Today, there is a need for decentralized and distributed workflow management systems (WfMS). In this thesis, we present DIFLOW, a system for designing and executing workflow processes based on dynamic migration of workflow instances during runtime. The system allows a process designer to define process constraints, which are specified in terms of process variables and capabilities of the workflow’s processing nodes (performers). At runtime, workflow instances may migrate to computing nodes that satisfy the defined constraints. Process constraints in DIFLOW may capture functional or non-functional requirements of the process, which cannot be expressed using typical process definition languages, such as BPMN. In this thesis, we introduce a Constraint Definition Language (CDL) to describe constraints comprising of performer capabilities and domain specific variables for providing necessary migration meta-information. We also present a design and implementation of DIFLOW capable of scheduling and enacting workflow instances in a distributed environment.