AMPECS 2013 - International Workshop on Advances in Model-based Performability Evaluation of Cloud Systems (AMPECS 2013)
Topics/Call fo Papers
The First International Workshop on Advances in Model-based Performability Evaluation of Cloud Systems (AMPECS 2013) aims to explore advances in performability modelling and evaluation of Cloud systems.
Co-located with CloudCom 2013 at HP Labs in Bristol, AMPECS 2013 offers the unique opportunity for interaction between experts from the performability and Cloud communities, bringing together expertise from both areas and fostering the dissemination of new insights throughout both communities.
Topics of interest include, but are not limited to:
Scalability issues in modelling of Cloud systems
Fault-load and workload models, and their application
Modelling of highly dynamic systems
Case-studies detailing new approaches for Cloud evaluation
Markovian and non-Markovian modelling techniques for highly complex systems
Abstraction and approximation techniques for performability evaluation
Measurement studies of Cloud systems
Tools for model-based Cloud system evaluation
Interdependency modelling
Monitoring, modelling and evaluation of Cloud-based systems (e.g. content-delivery networks, distributed data storage)
Submission Details
We invite papers of up to 6 pages (IEEE CS format) on recent research results, as well as papers describing new concepts, controversial ideas, and work in progress. We invite two types of submissions:
Full papers should present original research results that have not been published before and are not currently under consideration for publication. Full papers will be published in the proceedings of CloudCom 2013.
Work-in-progress papers offer the opportunity to present new ideas to the broader community. They will not be published and authors will retain their copyright.
Important Dates
Note that due to deadlines at the publisher the deadlines for full papers are earlier than for work-in-progress papers. Furthermore, please observe that the early-bird registration deadline is 9 September for both types of papers.
Full paper submissions: 1 August 2013
Notification of acceptance for full papers: 2 September 2013
Work-in-progress paper submissions: 1 October 2013
Work-in-progress notification of acceptance: 1 November 2013
Early-bird registration deadline: 9 September 2013
Camera-ready version: 28 September 2013 (Firm deadline!)
Workshop: 5 December 2013
The full call for papers is available here: AMPECS call for papers.
Organisers
Philipp Reinecke, HP Labs Bristol, United Kingdom
Katinka Wolter, Freie Universität Berlin, Germany
Alexandra Danilkina, Freie Universität Berlin, Germany
Program Committee
Rena Bakhshi, Vrije Universiteit Amsterdam
Jeremy Bradley, Imperial College London
Giuliano Casale, Imperial College London
Marco Gribaudo, Politecnico di Milano
Boudewijn Haverkort, University of Twente
Holger Hermanns, Saarland University
Gabor Horvath, Budapest University of Technology and Economics
Carlos Juiz, University of the Balearic Islands
Dong Seong Kim, University of Canterbury, New Zealand
Samuel Kounev, Karlsruhe Institute of Technology
Andrea Marin, University of Venice
Anne Remke, University of Twente
William Sanders, University of Illinois at Urbana-Champaign
Miklos Telek, Budapest University of Technology and Economics
Kishor Trivedi, Duke University
Contact: philipp.reinecke-AT-hp.com
Co-located with CloudCom 2013 at HP Labs in Bristol, AMPECS 2013 offers the unique opportunity for interaction between experts from the performability and Cloud communities, bringing together expertise from both areas and fostering the dissemination of new insights throughout both communities.
Topics of interest include, but are not limited to:
Scalability issues in modelling of Cloud systems
Fault-load and workload models, and their application
Modelling of highly dynamic systems
Case-studies detailing new approaches for Cloud evaluation
Markovian and non-Markovian modelling techniques for highly complex systems
Abstraction and approximation techniques for performability evaluation
Measurement studies of Cloud systems
Tools for model-based Cloud system evaluation
Interdependency modelling
Monitoring, modelling and evaluation of Cloud-based systems (e.g. content-delivery networks, distributed data storage)
Submission Details
We invite papers of up to 6 pages (IEEE CS format) on recent research results, as well as papers describing new concepts, controversial ideas, and work in progress. We invite two types of submissions:
Full papers should present original research results that have not been published before and are not currently under consideration for publication. Full papers will be published in the proceedings of CloudCom 2013.
Work-in-progress papers offer the opportunity to present new ideas to the broader community. They will not be published and authors will retain their copyright.
Important Dates
Note that due to deadlines at the publisher the deadlines for full papers are earlier than for work-in-progress papers. Furthermore, please observe that the early-bird registration deadline is 9 September for both types of papers.
Full paper submissions: 1 August 2013
Notification of acceptance for full papers: 2 September 2013
Work-in-progress paper submissions: 1 October 2013
Work-in-progress notification of acceptance: 1 November 2013
Early-bird registration deadline: 9 September 2013
Camera-ready version: 28 September 2013 (Firm deadline!)
Workshop: 5 December 2013
The full call for papers is available here: AMPECS call for papers.
Organisers
Philipp Reinecke, HP Labs Bristol, United Kingdom
Katinka Wolter, Freie Universität Berlin, Germany
Alexandra Danilkina, Freie Universität Berlin, Germany
Program Committee
Rena Bakhshi, Vrije Universiteit Amsterdam
Jeremy Bradley, Imperial College London
Giuliano Casale, Imperial College London
Marco Gribaudo, Politecnico di Milano
Boudewijn Haverkort, University of Twente
Holger Hermanns, Saarland University
Gabor Horvath, Budapest University of Technology and Economics
Carlos Juiz, University of the Balearic Islands
Dong Seong Kim, University of Canterbury, New Zealand
Samuel Kounev, Karlsruhe Institute of Technology
Andrea Marin, University of Venice
Anne Remke, University of Twente
William Sanders, University of Illinois at Urbana-Champaign
Miklos Telek, Budapest University of Technology and Economics
Kishor Trivedi, Duke University
Contact: philipp.reinecke-AT-hp.com
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Last modified: 2013-07-02 05:55:08