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23rd International Conference on Analytical and Stochastic Modelling Techniques and Applications (ASMTA 2016)

Cardiff, Wales, UK
24-26 August 2016


Methods of analytical and stochastic modelling are widely used in engineering to assess and design various complex systems, like computer and communication networks, and manufacturing systems. The ASMTA conference is a main forum for advancing these techniques and their applications and aims to bring together researchers of academia and industry to discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems, including Markov processes, queueing networks, stochastic Petri nets, process algebras, game theoretical models, etc. The conference is sponsored by ECMS – The European Council for Modelling and Simulation.

The proceedings of ASMTA 2016 will be published as Springer Verlag Lecture Notes in Computer Science (LNCS) series (approved).

ASMTA 2016 is co-located with the 10th International Conference on Next Generation Mobile Applications, Services and Technologies (NGMAST 2016).

The conference is seeking contributions on performance analysis techniques and algorithms from areas including (but not restricted to):

  * Markov Processes
  * Queueing Systems and Networks
  * Branching Processes and Epidemic Models
  * Game Theory and Stochastic Games
  * Reliability Theory
  * (Computationally Intensive) Statistical Methods
  * Stochastic Control, Decision Processes and Optimization
  * Stochastic Geometry
  * Stochastic Process Algebras and Petri Nets
  * Rare Events and Stochastic Simulation
  * Approximations, Bounds and Limits of Stochastic Models

Envisaged applications encompass the following areas:

  * Complex Systems
  * Computer and Information Systems
  * Workflow Management Systems
  * Communication Systems and Networks
  * Wireless and Mobile Systems and Networks
  * Peer-to-Peer Applications and Services
  * Embedded Systems and Sensor Networks
  * Workload Modelling and Characterization
  * Road Traffic and Transportation
  * Social Networks
  * Measurements and Hybrid Techniques
  * Modelling of Virtualisation
  * Energy-Aware Optimisation
  * Stochastic Modelling for Systems Biology
  * Biologically Inspired Network Design

We also welcome contributions describing new performance analysis tools such as:

  * Modelling and Specification Languages
  * Graphical and Textual Modelling Tools
  * Analytical Solvers, Graphical Presentation Tools

Full papers reporting original and unpublished research results on ASMTA topics are solicited. Submissions should not be under consideration for publication elsewhere while being evaluated for this conference.

The proceedings will be published in the Springer Verlag Lecture Notes in Computer Science (LNCS) series (approved). Submissions may already be prepared in LNCS format and must not exceed 15 pages, including figures, tables and references; see the information for authors on Springer’s web site for formatting instructions, accessible from the link on the website. Please clearly indicate the corresponding author.

The paper submission for ASMTA 2016 will only be accepted through the Easychair Paper Submission System accessible from the link on the website. Only papers in PDF will be accepted for reviewing. Submissions as e-mail attachment will not be accepted.

Consistent with standard practice, each submitted paper will receive rigorous peer reviewing. Papers will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation.

Submission implies the willingness of at least one of the authors to register and present the paper, if accepted. All accepted papers in the conference are expected to be presented and will be included in the conference proceedings.

The ASMTA 2016 Committee will select the best paper award of the conference for which a certificate will be presented at the end of the conference.

Abstract submission                 10 April 2016
Full paper submission                           20 April 2016
Notification                                    1 June 2016
Final paper submission              10 June 2016
Conference                                      24-26 August 2016

Khalid Al-Begain, University of South Wales, UK
Dieter Fiems, Ghent University, Belgium

Sabine Wittevrongel, Ghent University, Belgium
Tuan Phung-Duc, Tokyo Institute of Technology, Japan

Tuan Phung-Duc, Ph.D., Assistant Professor,
Department of Mathematical and Computing Sciences,
Graduate School of Information Science and Engineering,
Tokyo Institute of Technology
Telephone: 0081-(0)3-5734-3851
Email: [log in to unmask]
Homepage: http://www.is.titech.ac.jp/~tuan/

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