-------- Original-Nachricht -------- Betreff: CfP: PIK Journal - Special Issue on the Modeling of Self-Organizing Systems Datum: Fri, 20 Jul 2007 17:32:28 +0200 Von: Patrick Wuechner patrick.wuechner@UNI-PASSAU.DE Antwort an: Mailing List der GI FG 3.3.1 "Kommunikation und Verteilte Systeme" KUVS-L@LISTSERV.UNI-HEIDELBERG.DE An: KUVS-L@LISTSERV.UNI-HEIDELBERG.DE

Dear colleagues,

Please consider to contribute to the upcoming PIK journal special issue on the "Modeling of Self-Organizing Systems". The deadline is August 19th. Thus, there is one month to go. Submissions are welcome in English and German.

Details can be found in the CfP attached below and on http://www.net.fim.uni-passau.de/pik

With best regards from Passau, Germany, Patrick Wuechner Hermann de Meer

P.S. Please apologize multiple copies.

----------------------------- Call for Papers ---------------------------- PIK Special Issue: "Modeling of Self-Organizing Systems" ("Selbst-Organisierende Systeme und deren Modellierung") http://www.net.fim.uni-passau.de/pik

Scheduled date of publication: March 2008 (PIK Vol.31 No.1)

OVERVIEW

Self-organization is foreseen to play a major role in future communication systems. Obviously, this shift in paradigm leads to a variety of open research challenges. Solutions to these challenges are pivotal in either leveraging the possible advantages of self-organizing systems, but could also turn out to be a heavy burden for both operators and users. The goal is clear: after purposefully introducing (artificial) means of self- organization, the beneficial features -- often identified as the so-called self-* properties -- should clearly outnumber the critical ones, like un-controllability, undesired instability and criticality, or unpredictability. Thus, it is essential for the community to learn how to design, engineer, optimize, and control complex, almost chaotic systems in a structured, purposeful way. One tool that provides means for this demand is the concept of mathematical modeling. This PIK special issue aims at giving a survey on the topic of self-organization and mathematical modeling techniques that are capable of modeling self-organizing behavior.

PROPOSED TOPICS

* Essential properties of self-organizing systems * Modeling of self-* properties, such as self-organization, self-management, self-adaptation/-configuration, self-monitoring/-diagnosis, self-tuning/-optimization, self-protection, and self-repair/-healing * Metrics for evaluating self-* properties * Formal and mathematical models of self-organizing and complex systems * Observing self-organized criticality with the help of formal/mathematical models * Tools, test beds, and simulations capable of evaluating self-organizing systems * Performance, QoS, dependability, reliability, and availability modeling of self-organizing systems * Mathematical optimization of self-organizing systems * Security and fault-tolerance models for self-organizing systems * Modeling of emergent behavior * Design and construction of self-organizing systems * Control theory for self-organizing systems Modeling the (un-)controllability of self-organizing or emergent systems * Abstracting from self-organization and complexity * Scalability of complex model evaluation

IMPORTANT DATES

* Paper submission: August 19th, 2007 * Notification of acceptance: October 21st, 2007 * Camera ready papers due: November 11th, 2007

AUTHOR INFORMATION

Submissions of both technical papers and project reports in English or German are welcome. The contributions should not exceed 6 pages (A4, single column, approx. 6000 characters per page including spaces). We solicit submissions by e-mail in PDF format to Patrick Wuechner (patrick.wuechner@uni-passau.de). The camera ready version has to be submitted in Microsoft Word format.

GUEST EDITORS

Hermann de Meer, Universitaet Passau, Germany Patrick Wuechner, Universitaet Passau, Germany Jens B. Schmitt, Technische Universitaet Kaiserslautern, Germany Matthias Hollick, Technische Universitaet Darmstadt, Germany

More details can be found on: http://www.net.fim.uni-passau.de/pik