Autonomic Execution of Computational Workflows

Abstract

This paper describes the application of an
autonomic paradigm to manage the complexity of software
systems such as computational workflows. To demonstrate our
approach, the workflow and the services comprising it are
treated as managed resources controlled by hierarchically
organized autonomic managers. By applying service-oriented
software engineering principles, in particular enterprise
integration patterns, we have developed a scalable, agile, selfhealing
environment for execution of dynamic, data-driven
workflows which are capable of assuring scientific fidelity
despite unavoidable faults and without human intervention.