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活动简介

Data Intensive Workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of parallel and distributed computing. Workflows provide a systematic way of describing the analysis and rely on workflow management systems to execute the complex analyses on a variety of distributed resources. They are at the interface of end-users and computing infrastructures. With the drastic increase of raw data volume in every domain, they play an even more critical role to assist scientists in organizing and processing their data and to leverage HPC or HTC resources.

This workshop focuses on the many facets of data-intensive workflow management systems, ranging from job execution to service management and the coordination of data, service and job dependencies. The workshop therefore covers a broad range of issues in the scientific workflow lifecycle that include: data intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault detection and tolerance.

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The topics of the workshop include but are not limited to:

  • Big Data analytics workflows

  • Data-driven workflow processing

  • Workflow composition, tools, and languages

  • Workflow execution in distributed environments

  • Workflows on the cloud

  • Dynamic data dependent workflow systems solutions

  • Exascale computing with workflows

  • Workflow refinement tools that can manage the workflow mapping process

  • Workflow fault-tolerance and recovery techniques

  • Workflow user environments, including portals

  • Workflow applications and their requirements

  • Adaptive workflows

  • Workflow monitoring

  • Workflow optimizations (including scheduling and energy efficiency)

  • Performance analysis of workflows

  • Workflow debugging

  • Workflow provenance

  • Interactive workflows

  • Workflow interoperability

  • Reproducible computational research using workflows

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重要日期
  • 11月13日

    2017

    会议日期

  • 11月13日 2017

    注册截止日期

主办单位
美国计算机学会
IEEE 计算机学会
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