Call for Papers

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Scope and Description
In today's data intensive computing, the application developers need abstract simulation models to expose expected hardware features (e.g., SIMD, lightweight cores, or specialized functional units) and performance targets in terms of hierarchical parallelism, scale, data movement, computational intensity, bandwidths, latencies, and storage capacities of possible data intensive applications and systems, as well as non-performance objectives such as power and resilience.

System architects need architecture-independent models of important applications that they can use to identify, understand, and evaluate application behaviour on these proposed architectures. These abstractions must exist across the modelling, simulation, and measurement infrastructures. Development trends of modern information technologies lead to the constant growth of complexity of information systems and call for their high performance. Stochastic nature of flows that information systems need to serve and presence of stochastic internal processes that influence their behaviour justifies the use of probabilistic modelling and simulation when one needs to analyze their performance. Despite increasing complexity obvious requirement for system’s high performance which ensures, for example, low response times and accuracy, remains unchanged and it calls for advanced methods of modelling and simulation. Such methods must not be limited to those which ensure fast computations but include also those which provide new suitable (from the point of view of high performance) approaches for representation and analysis of system’s component and system as a whole.

Modelling and simulation techniques must provide predictive and optimization capabilities at runtime. This will require the development of rapid evaluation techniques as well as interfaces for incorporating models into the layers within the software stack. In addition to dynamic model creation, models must be actionable. That is, the models must enable appropriate levels of the software stack to react to the instantaneous state of the system, both hardware and software, and provide the necessary information that can be used to guide and optimize system operation.

The aim of HiPMoS is to present innovative academic and industrial research, methods, and techniques related to all aspects of modelling and simulation that employ high-performance computing technologies. Contribution can range from concepts and theoretical developments to advanced technologies and innovative applications. Topics of interest for the workshop include but are not limited to the following:

  • Biologically Inspired Modeling and Simulation
  • Advanced in Cloud and Grid Computing
  • Intelligent Network Modeling and Simulation
  • Data Intensive Computing and Data Mining
  • Social Networks
  • Simulation of Mobile Systems
  • Security Awareness and Energy Effectiveness in Distributed Data and Information Management
  • Parallel and Distributed Meta- and Hyper-Heuristics
  • e-Health Large Scale Systems
  • Distributed Global/Polynomial Optimization
  • Large Parallel and Distributed Multi-Agent Systems
  • Intelligent Mechanisms/Heuristics/Rules for Scheduling
  • Resource Allocation and Management in P2P, Grid, Cluster, Cloud Computing and Big Data oriented systems
  • Complex Machine Learning
  • Queuing Systems Modeling and Simulation
  • Performance Modeling and Analysis of Information and Telecommunication Systems and Networks
  • Information Flows Modeling and Analysis
  • Overload and Flow Control Modeling and Simulations
  • Assessment of efficiency, reliability and stability (tolerance) of high performance information systems
  • Theory of Multiformalism and Multiparadigm modeling and applications to distributed systems, complex systems and critical systems
  • Modeling and simulation of Cyber Physical Systems
  • Modeling of information systems by probability theory and stochastic processes methods and techniques
  • Statistical methods for the analysis of information systems

Post Conference Publications:
The authors of the best papers will be invited to submit their work to peer reviewed HQ journals

Mauro Iacono (Seconda Università degli Studi di Napoli, Italy)
Rostislav Razumchik (Institute of Informatics Problems FRC CSC RAS, Russia)
Daniel Grzonka (Cracow University of Technology, Poland)

Honorary Chair:
Joanna Kolodziej (Cracow University of Technology, Poland)

High Performance Modelling and Simulation (HiPMoS 2016) will be held in May 31 - June 2, 2016, Regensburg, Germany as a multisession track of the 30th European Conference on Modelling and Simulation (ECMS 2016). The accepted papers will be divided into three categories (sessions):

  • HiPMoS Modelling and Simulation of Data Intensive Systems Session (HiPMoS - DIS) – chaired by Dr Mauro Iacono (Seconda Università degli Studi di Napoli, Italy) with support of Dr Marco Gribaudo (Politecnico di Milano, Italy)
  • HiPMoS Probability and Statistical Methods for Modelling and Simulation of High Performance Information Systems Session (HiPMoS - ProbStat) – chaired by Dr Rostislav Razumchik (Institute of Informatics Problems, FRC CSC RAS, Russia) with support and under supervision of Prof. Alexander Zeifmann (Vologda State University, Russia) and Dr Pavel Abaev (Peoples' Friendship University of Russia, Russia)
  • HiPMoS PhD Session – chaired by Daniel Grzonka (Cracow University of Technology, Poland) with support of Magdalena Szmajduch (Cracow University of Technology, Poland)

Keywords: High Performance Computing, Data Intensive Computing, Modelling and Simulation, Cloud Computing, Grid Systems, Telecommunication Systems, Statistical Methods, Stochastic Processes, Queueing systems