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Big Data has become an increasingly important part of life, and has become a common buzz word used to describe many aspects of data intensive computing. One of the unique aspects that we see to this new age of science is in terms of new methods to collaborate and share ideas, data, and services. Service Oriented Architectures have become commonplace in Enterprise computing, but its role in scientific data has been often underplayed. Commonly scientist will write software for themselves, and occasionally share their programs with their colleagues. As computing moves to new levels of performance, by using accelerators and many cores, one must rethink how scientific codes are produced and move to new frameworks which promote collaboration. In this workshop we want researchers to discuss techniques, infrastructure, science drivers, and new ways to promote this new way of computing for scientific applications. We will want to address fundamental issues in workflows on and off large scale high performance systems, clouds, IPads, and mobile devices. Our overall view is that we can accelerate the scientific knowledge discovery process by embracing new technologies where researchers can share codes, workflows, data, and ultimately knowledge. Topics of interest in this workshop will span from methods to share all aspects of code, data, workflows. We will investigate the topic of how do you share Big Data, when data gets to extreme sizes. What new services need to be developed in order to promote Big Data for science and engineering aspects? How can we get researchers across the globe to develop shareable code and participate in the greater science community? Just like math was a common language that researchers could share and everyone understand, what are the new pieces of software which must be developed in order to ensure collaboration across the end to end lifecycle of scientific data? The workshop will provide a venue to show what has worked across different communities, and how to bring collaboration to new scientific communities. The workshop will bring together DOE and NSF researchers along with researchers in the enterprise to present papers, along with give invited talks. We will also conclude with a panel with many leading experts in the field. We will also feature one panel which will include experts in scientific and enterprise Big Data/

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Topic of interest include: Data at Rest (Storage) Data in Motion (Data Streaming) Storage Systems (Database, file systems) Resource Management Query and Search Acquisition, Integrating, Cleaning and Best Practice Privacy Provenance Algorithms Analytics Visualization Near Real-time Decision Making Data Fusion Workflows
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重要日期
  • 10月30日

    2014

    会议日期

  • 10月30日 2014

    注册截止日期

主办单位
IEEE Computer Society
International Society of Granular Computing
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