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, or for the control of transportation 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.
Important dates of the conference
4 April 2017 (Extended)
Full paper submission
4 April 2017 (Extended)
25 April 2017
Final paper submission
8 May 2017
10-12 July 2017
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 proceedings of ASMTA 2017 will be published as Springer Verlag Lecture Notes in Computer Science (LNCS).
Topics of interest
The conference is seeking contributions on performance analysis techniques and algorithms from areas including (but not restricted to):
Queueing Systems and Networks
Branching Processes and Epidemic Models
Game Theory and Stochastic Games
(Computationally Intensive) Statistical Methods
Stochastic Control, Decision Processes and Optimization
Stochastic Process Algebras and Petri Nets
Rare Events and Stochastic Simulation
Approximations, Bounds and Limits of Stochastic Models
Envisaged applications encompass the following areas:
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
Measurements and Hybrid Techniques
Modelling of Virtualisation
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 (
Please clearly indicate the corresponding author. The paper submission for ASMTA 2017 will only be accepted through the Easychair Paper Submission System (Easy chair ).
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.
Camera-ready paper submission
The files belonging to your camera-ready paper need to be submitted through Easychair by May 1, 2017. The page limit is 15 pages.
Please also upload a signed and completed copyright form. To download the form click here. Please use ASMTA 2017 as title of the book and use Nigel Thomas and Matthew Forshaw as volume editors.
Best paper award
The ASMTA 2017 Committee will select the best paper award of the conference for which a certificate will be presented at the end of the conference.
Nigel Thomas (Newcastle University)
Matthew Forshaw (Newcastle University)
Technical Program Committee
Sergey Andreev (Tampere University of Technology)
Jonatha Anselmi (INRIA)
Konstantin Avrachenkov (INRIA)
Christel Baier (Technical University of Dresden)
Simonetta Balsamo (Università Ca’ Foscari di Venezia)
Koen De Turck (CentraleSupélec)
Ioannis Dimitriou (University of Patras)
Antonis Economou (University of Athens)
Dieter Fiems (Ghent University)
Jean-Michel Fourneau (Universite de Versailles St Quentin)
Marco Gribaudo (Politecnico di Milano)
Yezekael Hayel (LIA / University of Avignon)
András Horváth (University of Turin)
Gábor Horváth (Budapest Technical University)
Stella Kapodistria (Eindhoven University of Technology)
Helen Karatza (Aristotle University of Thessaloniki)
William Knottenbelt (Imperial College London)
Lasse Leskelä (Aalto University)
Daniele Manini (Università di Torino)
Andrea Marin (University of Venice)
Yoni Nazarathy (University of Queensland)
Jose Nino-Mora (Carlos III University of Madrid)
Antonio Pacheco (IST Lisboa)
Juan F. Pérez (University of Melbourne)
Tuan Phung-Duc (University of Tsukuba)
Balakrishna J. Prabhu (LAAS-CNRS)
Marie-Ange Remiche (University of Namur)
Anne Remke (WWU MÜNSTER)
Jacques Resing (Eindhoven University of Technology)
Marco Scarpa (University of Messina)
Bruno Sericola (INRIA-Rennes)
Devin Sezer (Middle East Technical University)
János Sztrik (Debrecen University)
Miklós Telek (Budapest Technical University)
Nigel Thomas (Newcastle University)
Dietmar Tutsch (University of Wuppertal)
Jean-Marc Vincent (INRIA)
Sabine Wittevrongel (Ghent University)
Verena Wolf (Saarland University)
Katinka Wolter (Freie Universitaet zu Berlin)
Alexander Zeifman (Vologda State University)
Khalid Al-Begain (chair)
Dieter Fiems (secretary)
Title: "Stochastic Models for Self-Aware Computing in Data Centers"
Roughly speaking, we say that computing systems are "self-aware" if they possess the capability to learn and exploit models of themselves and the environment in which they are situated, so as to reason and act in accordance with high-level goals. Self-awareness in a computing system is achieved by implementing a model-based learning, reasoning, and acting loop (LRA-M loop). A major application domain for self-aware computing is in the area of runtime management of IT systems in data centers. To apply self-aware computing principles in this domain, novel methods are needed for designing self-aware performance and resource management mechanisms. Stochastic models play an important role as enabler of such mechanisms.
In this talk, we provide an overview of stochastic models that can be used for self-aware performance and resource management in modern virtualized data centers. We focus on models that have been successfully used at run-time to reason about resource allocations and performance management in an online setting. Various types of models are used to cover different aspects such the system's usage/load profile, the system's resource demands, and its performance-relevant control flow.
To show how stochastic models can be leveraged for self-aware computing in data centers, we present an approach based on the Descartes Modeling Language (DML). DML is an architecture-level language that provides appropriate modeling abstractions to describe the resource landscape, the application architecture, the adaptation space, and the adaptation processes of a software system and its IT infrastructure. DML is complemented by an open-source tool-chain (http://descartes.tools) comprising a set of stochastic modeling tools and libraries that provide a framework for designing self-aware performance and resource management mechanisms. We present an overview of these tools, as well as some exemplary results from industrial case studies, showing their applicability in real-life scenarios.
Newcastle is easily reached by plane with direct flights from many European cities and easy access from the airport to the city centre via the local Metro trains. Newcastle is also easily accessible by train with direct services to/from London King's Cross, Edinburgh and other UK cities.
Newcastle was traditionally an industrial city based on ship building, coal mining and armaments. Like other such European cities those industries are now a thing of the past. The city is now a surprisingly (to the uninitiated) attractive and cultural place to visit with a number of interesting museums and galleries, as well as a lively nightlife.
There are a wide variety of hotels in the city spanning pretty much any budget. Most of these can be found on LateRooms.com, Booking.com or your favourite hotel booking website.
In case of specific questions with respect to the venue or other practical matters, please contact the local organiser Nigel Thomas (E-mail: email@example.com).
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