AMGCC17

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The 5th International Workshop on Autonomic Management of high performance Grid and Cloud Computing (AMGCC'17)

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News & Events

  • Workshop homepage opens and is running
  • Paper submission deadline is extended to June 12, 2017
  • Workshop Program is now online !

Overview

AMGCC'17 workshop (http://htcaas.kisti.re.kr/wiki/index.php/AMGCC17) will be held in the University of Arizona, Tucson, AZ, USA on September 18, 2017, in conjunction with the IEEE International Conference on Cloud and Autonomic Computing (ICCAC) (http://www.autonomic-conference.org/iccac-2017/).

Grid computing leverages enormous computing resources scattered over the internet in order to integrate and form a large-scale computing platform to solve grand-scale problems. Grid computing also has had great influence on the cloud computing besides the virtualization technology which logically decouples the physical computing resources with the computing system. Consequently, the cloud computing provides cost-effective, fast, and unlimited virtualized resources for large-scale applications. Cloud computing is also used as “utility computing” where the computing services are provided on-demand and as needs based. Thus, it is commonly deployed for various applications these days.

Managing hybrid, virtualized computing resources in a large-scale cloud computing environments, however, still leaves a lot of research to be conducted. Furthermore, autonomous managements of resources in such a large scale federated hybrid computing infrastructures are crucial. In this workshop, we would like to bring researcher around the world to discuss and communicate the challenges and research results in the design, implementation, and evaluation of novel autonomous hybrid cloud resource management systems, and the theory and practice of cloud and grid resource management.

Topics of Interests

Topics include, but are not limited to:

  • Autonomic Workflow and Resource Management in Cloud and Grid
  • Autonomous and Adaptive Management of Virtualized Resources
  • High Performance Grid and Cloud
  • Security, Privacy, and Compliance Management for Hybrid Utility Computing
  • Performance and Usage Monitoring in Hybrid Infrastructures
  • Autonomic Resource Discovery and Scheduling in Cloud and Grid
  • Service-based Autonomic Management in Cloud and Grid
  • Hybrid Cloud Resource Provisioning Orchestration
  • Adaptive Resource Provisioning and Adjustment in Grid and Cloud
  • Autonomics in High Performance Cloud Computing
  • Cloud/Grid Workload Profiling and Autonomic Deployment Control
  • Fault tolerance and Reliability in Hybrid Utility Computing
  • Federation, Bridging, and Bursting of Grid and Cloud Resources
  • Data management and Analytics in Cloud
  • Cyber-infrastructure, System Architectures, Design and Deployment for Grid, Cloud and Big Data

Important Dates

  • Paper submission: May 19, 2017 June 12, 2017 June 15, 2017
  • Notification of acceptance: June 23, 2017 July 10, 2017
  • Camera-ready paper: July 21, 2017
  • Workshop: September 18, 2017

Paper Submission Guideline

Submitted papers must include original work and may not be under consideration for another workshop, conference, or journal. Accepted papers must be presented at the workshop. Papers are limited to 6 pages in standard IEEE proceedings format. The PDF format of the paper must be submitted online at the paper submission site before the deadline.

Extended Paper Journal Version Selected papers presented at the AMGCC'17 workshop will be invited to a special issue in the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank (http://link.springer.com/journal/10586). In AMGCC'16, ~ 70% of the presented papers were invited to publish in the journal.

Organization

Workshop Co-Chairs

  • Sungyong Park, Sogang University, Korea
  • Soonwook Hwang, Korea Institute of Science and Technology Information, Korea

Technical Program Committee

  • Kento Aida, National Institute of Informatics, Japan
  • Jaeyoung Choi, Soongsil University, Korea
  • Youngri Choi, Ulsan National Institute of Science and Technology, Korea
  • Ewa Deelman, Information Sciences Institute/University of Southern California, USA
  • Sandro Fiore, Euro-Mediterranean Center on Climate Change Foundation, Italy
  • Ricardo Graciani Diaz, Universitat de Barcelona, Spain
  • Hyeonsang Eom, Seoul National University, Korea
  • Eric Heien, Computational Infrastructure for Geodynamics/University of California, Davis, USA
  • Jens Jensen, Science & Technology Facilities Council, UK
  • Jik-Soo Kim, Myongji University, Korea
  • Yoonhee Kim, Sookmyung Women’s University, Korea
  • Youngjae Kim, Sogang University, Korea
  • Jaewook Lee, Seoul National University, Korea
  • Kyungyong Lee, Kookmin University, Korea
  • Jaehwan Lee, Korea Aerospace University, Korea
  • Myungho Lee, Myongji University, Korea
  • Young Choon Lee, Macquarie University, Australia
  • Raffaele Montella, University of Naples Parthenope, Italy
  • Taiga Nakamura, IBM Tokyo Research Laboratory, Japan
  • Beomseok Nam, Ulsan National Institute of Science and Technology, Korea
  • Sangmi Lee Pallickara, Colorado State University, USA
  • Seung-Jong Park, Louisiana State University, USA
  • Sungyong Park, Sogang University, Korea
  • Robert E. Quick, Indiana University, USA
  • Ilkyeun Ra, University of Colorado, USA
  • David Sarramia, Blaise Pascal University, France
  • Guangyu Sun, Peking University, China
  • Yoshio Tanaka, National Institute of Advanced Industrial Science and Technology (AIST), Japan
  • Taro Tezuka , University of Tsukuba, Japan
  • Steven C. Timm, Fermi National Accelerator Laboratory, USA
  • Ananta Tiwari, San Diego Supercomputer Center (SDSC), USA
  • Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain
  • Justin M Wozniak, Argonne National Lab, USA
  • Heon Y Yeom, Seoul National University, Korea

Contacts

For any inquiries about the workshop or paper submission, please contact

Sungyong Park, Sogang University, Korea, parksy AT sogang.ac.kr

Soonwook Hwang, KISTI, hwang AT kisti.re.kr

Sponsors

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