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Scientific workflows have recently emerged as a new paradigm for scientists to formalize and structure complex and distributed scientific processes to enable and accelerate many scientific discoveries. In contrast to business workflows, which are typically control flow oriented, scientific workflows tend to be dataflow oriented, introducing a new set of(More)
Most existing workflow scheduling algorithms only consider a computing environment in which the number of compute resources is bounded. Compute resources in such an environment usually cannot be provisioned or released on demand of the size of a workflow, and these resources are not released to the environment until an execution of the workflow completes.(More)
Scientific workflows have recently emerged as a new paradigm for scientists to formalize and structure complex and distributed scientific processes to enable and accelerate many scientific discoveries. In contrast to business workflows, which are typically control flow oriented, scientific workflows tend to be dataflow oriented, introducing a new set of(More)
In this demo, we present current status of our VIsual sciEntific Workflow management system called VIEW, highlighting the following two features: (i) the use of Semantic Web technology to represent, store, and query provenance metadata, leading to an interoperable and extensible provenance system, and (ii) the support of visualization of various provenance(More)
Provenance management has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments. This paper proposes an approach to provenance management that seamlessly integrates the interoperability, extensibility, and reasoning advantages of semantic Web(More)
MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerful programming model in a scientific workflow environment, we propose a MapReduce-enabled scientific workflow composition framework consisting of: i) a dataflow based scientific(More)
Recently, there has been an increasing need in scientific workflows to solve the shimming problem, the use of a special kind of adaptors, called shims, to link related but incompatible workflow tasks. However, existing techniques produce scientific workflows that are cluttered with many visible shims, which distract a scientist’s focus on functional(More)
Cloud computing is an emerging computing paradigm that can offer unprecedented scalability and resources on demand, and is getting more and more adoption in the science community, while scientific workflow management systems provide essential support such as management of data and task dependencies, job scheduling and execution, provenance tracking, etc.,(More)
SCIENTIFIC WORKFLOW INTEGRATION FOR SERVICES COMPUTING<lb>by<lb>CUI LIN<lb>August 2010<lb>Advisor: Dr. Shiyong Lu<lb>Major: Computer Science<lb>Degree: 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,(More)
Westwood/Westwood+ TCP is well known by its effective AIAD (Additive Increase and Adaptive Decrease) bandwidth estimation algorithm. In this paper, we propose an enhanced Westwood+ scheme for wireless/heterogeneous networks with a high random bit error rate (BER), in which the sender is introduced with the following three characteristics: 1) to consider the(More)