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Introduction

Applications and experiments in all areas of science are becoming increasingly complex and more demanding in terms of their computational and data requirements. Some applications generate data volumes reaching hundreds of terabytes and even petabytes. As scientific applications become more data intensive, the management of data resources and data flow between the storage and compute resources is becoming the main bottleneck. Analyzing, visualizing, and disseminating these large data sets has become a major challenge and data intensive computing is now considered as the “fourth paradigm” in scientific discovery after theoretical, experimental, and computational science.
The eighth international workshop on Data-intensive Computing in the Clouds (DataCloud 2017) will provide the scientific community a dedicated forum for discussing new research, development, and deployment efforts in running data-intensive computing workloads on Cloud Computing infrastructures. The DataCloud 2017 workshop will focus on the use of cloud-based technologies to meet the new data intensive scientific challenges that are not well served by the current supercomputers, grids or compute-intensive clouds. We believe the workshop will be an excellent place to help the community define the current state, determine future goals, and present architectures and services for future clouds supporting data intensive computing.

Call for paper

Important date

2017-09-01
Final paper submission deadline

List of Topics

  • Data-intensive cloud computing infrastructure, applications, characteristics and challenges
  • Case studies of data intensive computing in the clouds
  • Performance evaluation of data clouds, data grids, and data centers
  • Energy-efficient data cloud design and management
  • Data placement, scheduling, and interoperability in the clouds
  • Accountability, QoS, and SLAs
  • Data privacy and protection in a public cloud environment
  • Distributed file systems for clouds
  • Data streaming and parallelization
  • New programming models for data-intensive cloud computing
  • Scalability issues in clouds
  • Social computing and massively social gaming
  • 3D Internet and implications
  • Future research challenges in data-intensive cloud computing
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Important Date
  • Nov 12

    2017

    Conference Date

  • Sep 01 2017

    Final Paper Deadline

  • Nov 12 2017

    Registration deadline