General Chair

Nigel Thomas (Newcastle University)

TPC Chair

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)

Steering Committee

Khalid Al-Begain (chair)
Dieter Fiems (secretary)
Simonetta Balsamo
Herwig Bruneel
Alexander Dudin
Jean-Michel Fourneau
Peter Harrison
Miklós Telek
Jean-Marc Vincent

TBA

Prof. Samuel Kounev

University of Wurzburg

Title: "Stochastic Models for Self-Aware Computing in Data Centers"

Abstract:

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.

Prof. William Knottenbelt

Imperial College London

Monday 10th July

09.00-09.30 Registration and welcome
09.30-10.30 Invited Talk: Prof Samuel Kounev
10.30-11.00 Coffee break
11.00-12.30 Session 1

• Stability and Delay Analysis of an Adaptive Channel-Aware Random Access Wireless Network
  Ioannis Dimitriou and Nikolaos Pappash
• Modeling multiclass task-based applications on heterogeneous distributed environments
  Riccardo Pinciroli, Marco Gribaudo and Giuseppe Serazzi
• A New Modelling Approach to Represent the DCF Mechanism of the CSMA/CA Protocol
  Marco Scarpa and Salvatore Serrano

12.30-13.30 Lunch break
13.30-15.00 Session 2

• Stochastic Bounds for Switched Bernoulli Batch arrivals observed through measurements
  Farah Ait-Salaht, Hind Castel, Jean-Michel Fourneau and Nihal Pekergin
• Aggregation and truncation of reversible Markov Chains modulo state renaming
  Andrea Marin and Sabina Rossi
• The Mean Drift: Tailoring the Mean Field Theory of Markov Processes for Real-World Applications
  Mahmoud Talebi, Jan Friso Groote and Jean-Paul Linnartz

15.00-15.30 Afternoon break
15.30-16.30 Session 3

• Two-Way Communication M/M/1//N Retrial Queue
  Velika Dragieva and Tuan Phung-Duc
• Discretised Markovian model of a queue with garbage collection
  Illes Horvath, Istvan Finta, Ferenc Kovacs, Andras Meszaros, Roland Molontay and Krisztian Varga

19.00-late Dinner

Tuesday 11th July

09.30-10.30 Invited Talk: Prof William Knottenbelt
10.30-11.00 Coffee break
11.00-12.30 Session 4

• Modeling and Analysis of a Relay-Assisted Cooperative Cognitive Network
  Ioannis Dimitriou
• Application of a particular class of Markov chains in the assessment of semi-actuated signalized intersections
  Francisco Macedo, Paula Milheiro-Oliveira, António Pacheco and Maria Lurdes Simões
• A simple approximation for the response times in the two-class weighted fair queueing system
  Gábor Horváth and Dhari Ali Mahmood

12.30-13.30 Lunch break
13.30-15.00 Session 5

• Equivalence and Lumpability of FSPNs
  Falko Bause, Peter Buchholz, Igor V. Tarasyuk and Miklós Telek
• Change Detection of Model Transitions in Proxel Based Simulation of CHnMMs
  David Bodnar, Claudia Krull and Graham Horton
• An Algorithmic Method for Priority Multiserver Retrial Queues with Two Types of Customers
  Nawel Gharbi and Leila Charabi

15.00-15.30 Refreshments and Close.

The conference will be held in the Great North Museum in Newcastle, UK.

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: nigel.thomas@newcastle.ac.uk).

For online registration and payment, follow this link.

Fees

• Full registration: £250
• Student registration: £190

Recent ASMTA conferences

ASMTA 2016 (Cardiff, Wales)

ASMTA 2015 (Albena, Bulgaria)

ASMTA 2014 (Budapest, Hungary)

ASMTA 2013 (Ghent, Belgium)

ASMTA 2012 (Grenoble, France)

ASMTA 2011 (Venice, Italy)

ASMTA 2010 (Cardiff, Wales, UK)

ASMTA 2009 (Madrid, Spain)