-------- Original Message -------- Subject: [Tccc] Elsevier Computer Networks Journal -Special Issue on Network Modeling and Simulation Date: Tue, 8 Jun 2004 11:49:22 -0500 (CDT) From: Jennifer Hou jhou@cs.uiuc.edu To: tccc@cs.columbia.edu CC: prkumar@control.csl.uiuc.edu, Harry Rudin hrudin@smile.ch, h.togt@elsevier.nl

Call for Papers Special Issue on "Network Modeling and Simulation" Elsevier Computer Networks Journal

Theme ===== The rapid proliferation and integration of computer and network systems have connected infrastructures to one another in a complex network of interdependence. In addition, network systems themselves are undergoing dramatic changes in the underlying technologies and services provided, in order to keep up with the growing demands from new applications and users. Scalable network modeling and simulation approaches that can analyze and predict network behavior with known accuracy, at varying time scales and for different network sizes and composition, have emerged to be important (and in some cases critical) techniques in designing, deploying, and managing such complex networks. Abnormal conditions such as congestion storms, network meltdown, and behavior of badly designed protocols and policies can be detected with analytically sound and scalable modeling and simulation tools and corrective actions can be designed and deployed accordingly.

In the past few years, quite a number of new models of traffic, network, and control have been created that exploit fluid flow models, discrete event dynamical systems theory, stability theory, statistics and measurement, and approximation theory to solve the problem of capturing both wired and wireless network phenomena. These models, with varying levels of abstraction, have been incorporated to develop scalable network simulation techniques to expedite simulation of extremely large networks (of size >= 100K nodes), rendering more than an order of magnitude of performance improvement. These models have also been used to devise a wide spectrum of both passive and active measurement techniques so as to infer, with high accuracy, various network attributes and conditions. Moreover, all the models and techniques, along with an appropriate on-line network measurement methodology, have also provided a basis for on-line network control, dramatically reducing the time and cost required for functions such as parameter tuning, fielding new and situation specific protocols, and QoS provisioning. These techniques can also be harnessed to significantly improve the efficiency of network operational functions such as planning, service provisioning, and failure analysis.

Topics of Interest ================== This special issue calls for articles that address the most recent technical advances in network modeling and simulation and its use in network measurement and control. Of particular interests are

1. Innovative models of traffic, network, and control. Manuscripts are sought that document innovative research on (i) the theory and the creation of models that characterize network traffic and/or network behavior over a broad range of network sizes and time scales; (ii) evaluation and validation of various models with respect to their analysis and prediction capability; and (iii) development of methods that establish conditions under which models are trustworthy.

Also of interest is the development of models of control that can be deployed on top of a given network and traffic model. Control issues of interest include, but are not limited to: network and protocol parameter setting, distributed quality of service assignment based on priority, dynamic selection of protocols, and distributed implementation of control algorithms.

2. Scalable network simulation techniques. This technical area seeks for manuscripts that report fast simulation techniques that incorporate advances in various traffic/network models and scaling methods to expedite network simulation of extremely large scale. Of particular interest are all aspects concerning (i) the development and deployment of models that can be used to realize faster-than-real-time simulation, while not compromising its fidelity; and (ii) use of faster-than-real-time simulation techniques to provide feedback to network control.

3. Model-based active and passive network measurement. Challenges of network measurement research are to define and develop (i) sampling techniques to support model development as well as model validation; (ii) models that relate, with high accuracy, measurement results with network attributes; (iii) both active and/or passive measurement approaches that are non-intrusive and yet render high-fidelity results; and (iv) on-line mechanisms that leverage measurement results for network control.

Publication Schedule ====================

Manuscript due: September 15, 2004 Acceptance notification: November 30, 2004 Final manuscript due: December 31, 2004 Expected publication date: Approximately April 2005

Submission Instruction ======================

Each submission should include a cover page with the title of paper, name and affiliation of all authors, name and contact address, fax, and email address of the corresponding author, a list of five key words, and a short abstract of maximum 200 words. Please send PDF (preferred) or postscript formatted papers to Jennifer C. Hou (jhou@cs.uiuc.edu) according to the above timetable. All papers will be reviewed by experts for technical merit, correctness, relevance, and a clear exposition of English.

Submissions must meet the following criteria:

- A paper must be material that has not been previously published nor is currently under review by another conference or journal. - Each submitted paper should be no longer than the equivalent of 25 double space pages excluding figures, graphs, and illustrations.

Guest Editors =============

Jennifer C. Hou Department of Computer Science University of Illinois at Urbana Champaign jhou@cs.uiuc.edu

P. R. Kumar Department of Electrical and Computer Engineering University of Illinois at Urbana Champaign prkumar@control.uiuc.edu

_______________________________________________ Tccc mailing list Tccc@cs.columbia.edu http://lists.cs.columbia.edu/mailman/listinfo/tccc