The 1st International Workshop on Autonomic Management of Grid and Cloud Computing AMGCC13

The 1st International Workshop on Autonomic Management of Grid and Cloud Computing – AMGCC’13

Co-located with the ACM Cloud and Autonomic Computing Conference (CAC 2013)

InterContinental Hotel, Miami, Florida, USA -- August 5, 2013



AMGCC’13 (http://htcaas.kisti.re.kr/index.php/AMGCC13) is going to take place on August 5, 2013, in Miami, in conjunction with the ACM Cloud and Autonomic Computing Conference (CAC 2013)  (http://www.autonomic-conference.org/).



Cloud computing provides cost-effective,  fast, and unlimited virtualized resources in large-scale data centers through outsourcing. While providing public cloud services (infrastructure, platform, applications, etc.) over the Internet is the most popular type of cloud computing, many organizations and companies are also building private Cloud services within their own firewall to improve security and reduce the internal IT operation/management cost. On the other hand, Grid computing, as another type of utility computing that is able to provide a large number of computing resources across multiple organizations, can be utilized and seamlessly bridged on demand with Cloud resources as the scientists’ need arises. With such various types of compute/storage resources, scientific applications are able to harness appropriate resources on demand in order to improve the performance and reduce the cost at the same time.

To date, however, little research efforts have been conducted on managing hybrid (virtualized) computing resources especially in such a large unprecedented scale, both in industry and academia. To efficiently manage such a large scale federated hybrid computing infrastructures, it is inevitable to have the resources “autonomously” manage themselves and cooperate with each other. With this goal, this workshop focuses on the theory and practice of the autonomic resource management of hybrid utility computing infrastructures including public & private cloud and grid resources. We solicit original research works that discuss the challenges 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, the following:

+ Autonomic Workflow and Resource Management in Cloud and Grid

+ Autonomous and Adaptive Management of Virtualized Resources

+ Security, Privacy, and Compliance Management for Hybrid Utility Computing

+ Performance Monitoring and Usage Metering 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 (HPC-Cloud)

+ 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
Important Dates
Paper submission: May 14, 2013 (Extended)

Notification of acceptance: May 20, 2013

Camera-ready paper: May 27, 2013

Workshop: August 5, 2013



Paper Submission Guideline
An accepted paper must be registered and presented at the conference venue and must be limited to 8 pages in standard ACM camera-ready format (double-column, 10-pt font). The final 8 page papers in PDF format must be submitted online at paper submission site before the deadline of April 30th, 2013 at 11:59PM PST.

Extended Paper Journal Version

Selected papers presented at the AMGCC workshop will be invited to a special issue on the Springer Cluster Computing Journal, indexed by the SCIE, JCR, and SCOPUS rank (http://link.springer.com/journal/10586)
Workshop Co-Chairs
Soonwook Hwang, Korea Institute of Science and Technology Information, Korea

Young Choon Lee, The University of Sydney, Australia

Yoonhee Kim, Sookmyung Women’s University, Korea



Technical Program Committee
Jaeyoung Choi, Soongsil University, Korea

Ewa Deelman, Information Sciences Institute/University of Southern California, USA

Ricardo Graciani Diaz, Universitat de Bercelona, Spain

Hyunsang Eom, Seoul National University, Korea

Eric Heien, Computational Infrastructure for Geodynamics/University of California, Davis, USA

Tomo Hiroyasu, Doshisha University, Japan

Jik-Soo Kim, Korea Institute of Science and Technology Information, Korea

Che-Rung Roger Lee, National Tsing Hua University, Taiwan

Myungho Lee, Myongji University, Korea

Charles Loomis, The National Center for Scientific Research (CNRS), France

Robert Lovas, Hungarian Academy of Sciences, Hungary

Raffaele Montella, University of Naples Parthenope, Italy

Taiga Nakamura, IBM Tokyo Research Laboratory, Japan

Beomseok Nam, Ulsan National Institute of Science and Technology, Korea

Gregory Newby, Arctic Region Supercomputing Center (ARSC), USA

Sangmi Lee Pallickara, Colorado State University, USA

Sungyong Park, Sogang University, Korea

Morris Riedel, Juelich Supercomputing Center, Germany

Oliver Sinnen, The University of Auckland, New Zealand

Yoshio Tanaka, National Institute of Advanced Industrial Science and Technology (AIST), Japan

Ananta Tiwari, San Diego Supercomputer Center (SDSC), USA

Jose Luis Vazquez-Poletti, Universidad Complutense de Madrid, Spain

Heonyoung Yeom, Seoul National University, Korea
Contacts
Contact us using either one or preferable both email addresses:
Beomseok Nam, Ulsan National Institute of Science and Technology, bsnam@unist.ac.kr,

Yoonhee Kim, Sookmyung Women’s University, yulan@sookmyung.ac.kr



Sponsors