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.
11月15日
2015
会议日期
注册截止日期
2018年11月11日 美国
2018 IEEE/ACM Workflows in Support of Large-Scale Science2017年11月13日 美国
2017年第十二届支持大型科学工作流程研讨会2016年11月14日 美国 Salt Lake City,USA
The 11th Workshop on Workflows in Support of Large-Scale Science2014年11月16日 美国
The 9th Workshop on Workflows in Support of Large-Scale Science2013年11月17日 美国
The 8th Workshop on Workflows in Support of Large-Scale Science
留言