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SIMULATION SI: Advancing Simulation Theory and Practice with Distributed Computing

Call For Papers

SIMULATION: Transactions of the Society for Modeling and Simulation International

Special Issue: Advancing Simulation Theory and Practice with Distributed Computing


Introduction

The pursuit of high quality simulation experimentation and optimization can require non-trivial amounts of computing power. Having access to an increased number of computers usually enables "further and faster experimentation" of the models. Distributed computing concepts such as High Performance Computing (HPC), High Throughput Computing (HTC), grid and cloud computing can provide the required computing capacity for the execution of large and complex models. Further there has been a long tradition of adopting advances in distributed computing in simulation as evidenced by contributions from the parallel and distributed simulation community. There has arguably been a recent acceleration of innovation in distributed computing tools and techniques. This special issue presents the opportunity to showcase recent research that is assimilating these new advances in simulation. This special issue therefore solicits high quality papers on both computational and theoretical studies that further the extant literature on the application of distributed computing to simulation. An indicative list of topics is given below   Topics of interest include but are not limited to:

  • Methodologies for creation of scalable simulation models.
  • Methodologies and algorithms associated with distributed execution of models (e.g. algorithms for task-farming and load-balancing)
  • Theoretical issues, methodology and software architectures for large scale distributed simulations (e.g. parallel and distributed simulation, multi-agent based distributed simulation, IEEE 1516 HLA architecture, Distributed Interactive Simulation).
  • Algorithms for parallel and distributed simulation, including time synchronization, optimistic and conservative protocols.
  • Ubiquitous computing architectures for development and experimentation of simulation models.
  • Collaborative model development (e.g., shared workspace, shared manipulation of models)
  • Performance and validation of large scale models (e.g., benchmarking and analytical results, empirical studies).
  • Novel experimentation strategies suitable for distributed computing.
  • Case studies associated with the application of High Performance Computing, grid computing, desktop grid computing, cloud computing and web-based execution of simulation models.
  • Visualisation of models that use distributed data sets.

 

Instructions for Manuscript Preparation

For manuscript formatting and other guidelines, please visit the Author Guidelines for SIMULATION.

Submissions for Full Paper Review

All manuscripts must be submitted electronically through the paper submission system to the SIMULATION Manuscript Submission System. Please note in your online cover letter that your submission is for the special issue on "Advancing Simulation Theory and Practice with Distributed Computing"..

Note: Manuscripts must not have been previously published or be submitted for publication elsewhere. Each submitted manuscript must include title, names, authors' affiliations, postal and e-mail addresses, a single page description (refer to Author Guidelines for SIMULATION), and a list of keywords. For multiple author submission, please identify the corresponding author. The submitted manuscripts will first be reviewed by the guest editors to assess the suitability for inclusion in the special issue. Subsequent to this, the selected papers will be subjected to a double blind reviewing process comprising of a minimum of two reviews.

Due Dates

Full Papers Due January 31, 2012
Notification of Acceptance March 31, 2012
Minor Revisions Due April 30, 2012
Major Revisions & Final Papers Due May 31, 2012
Publication Expected Spring 2013

 

Final paper submissions

Each final submission must be prepared based on the Simulation journal requirements (see Author Guidelines for SIMULATION page).

Guest Editors: