Scientific Workflow Integration For Services Computing

SCIENTIFIC WORKFLOW INTEGRATION FOR SERVICES COMPUTINGbyCUI LINAugust 2010Advisor: Dr. Shiyong LuMajor: Computer ScienceDegree: Doctor of Philosophy In recent years, significant scientific advances are increasingly achieved through complex scientific processes. As the exponential growth in computing technologies and scientific data, a scientific workflow may comprise a large number of heterogeneous scientific services and applications, provided by different organizations. These services, applications, and their associated data are usually distributed across heterogeneous computing environments. The integration and management of such scientific workflows are pushing the limits of current workflow technology. This dissertation presents an integrated solution to composing, scheduling, executing and developing scientific workflows and scientific workflow management systems. To provide a foundation for workflow composition, scheduling, execution and management, we propose the first reference architecture for scientific workflow management systems. The reference architecture not only provides a high-level organization of subsystems and their interactions in a workflowsystem, but also provides a basis for comparison between different systems and a guidance for the ar-chitectural design of an SWFMS in a specific scientific domain. To integrate heterogeneous services and applications and enable them composed to workflows, we propose a task template model which notonly provides an appropriate abstraction of heterogeneous services and applications, but also encapsu-lates the composition and mapping of shims and functional task components within a task interface. Our proposed task specification language (TSL) not only integrates heterogeneous services and appli-cations into uniform workflow tasks, but also provides a solution to address both TYPE-I and TYPE-II shimming problems in composing scientific workflows. To schedule scientific workflows in emerg-