-------- Original Message -------- Subject: E-NEXT.members: CFP: JSAC special issue on Sampling the Internet Date: Tue, 15 Mar 2005 16:54:14 +0100 From: Chadi Barakat Chadi.Barakat@sophia.inria.fr Organization: INRIA U.R. Sophia Antipolis CC: members@ist-e-next.net
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All information can be found at http://www.argreenhouse.com/society/J-SAC/Calls/sampling_internet.html.
Deadline for manuscript submission: OCTOBER 1, 2005.
======================================================= CALL FOR PAPERS IEEE Journal on Selected Areas in Communications SAMPLING THE INTERNET: TECHNIQUES AND APPLICATIONS
Scope
As the Internet continues to grow rapidly in size and complexity, it has become increasingly clear that its evolution is closely tied to a detailed understanding of network traffic. Network traffic measurements are invaluable for a wide range of tasks such as network capacity planning, traffic engineering, fault diagnosis, application and protocol performance profiling, and anomaly detection.
This large and diverse set of applications raises the question of how to monitor the Internet in an efficient and scalable way. In the case of active monitoring (where probe packets are sent across the network to infer specific properties) the scalability issue arises from the size of the Internet and the potentially large number of end systems that one needs to instrument, as well as the number of probing experiments that one must conduct.
Intuitively, sampling is an essential component of scalable Internet monitoring. Broadly speaking, sampling is the process of making partial observations of a system of interest, and drawing conclusions about the full behaviour of the system from these limited observations. The observation problem is concerned with minimising information loss whilst reducing the volume of collected data. It is this reduction that makes the collection process scalable. The way in which the partial information is transformed into knowledge of the system as a whole is the inversion problem. The inversion is in general imperfect and error-prone.
The aim of this issue is to bring together work from researchers and practitioners devoted to the understanding of the practical and theoretical issues related to all aspects of sampling the Internet. In this context, sampling may take various forms. A classic example is to observe only a subset of the packets carried over a link, and then estimate traffic parameters which apply to all packets. Alternatively, one could target a subset of routers with packet probes in order to infer network characteristics such as the topology or routing matrix.
Examples abound from a wide variety of application areas within Internet measurement, management, and analysis. Independent of subject area, papers will be in scope if they focus substantially on the sampling aspects of the problem under study, for example by exploring the tradeoff between observation and inversion processes, revealing the limitations of inversion techniques, analysing their properties, or proposing new ones, or by providing new insights by explicitly recognizing the impact of implicit sampling in many measurement studies.
Topics of interest include (but are not limited to):
- Sampling and inverting traffic metrics with passive or active systems. - Internet end-to-end measurements seen from a sampling standpoint. - Sampling aspects of network topology inference. - Impact of sampling on anomaly detection. - Mechanisms for sampling live Internet traffic or collected traces. - Theoretical studies of the sampling/inversion problem (e.g., accuracy, complexity). - Distributed and adaptive sampling techniques. - New sampling methods.
Submission guidelines
Authors should follow the IEEE J-SAC manuscript format described in the Information for Authors. There will be one round of reviews and acceptance will be limited to papers needing only moderate revisions. Prospective authors should submit a PDF version of their complete manuscript via email to jsac-sampling@sophia.inria.fr according to the following timetable:
Manuscript submission: October 1, 2005 Acceptance notification: March 1, 2006 Final manuscript due: June 1, 2006 Publication: 4th quarter 2006
Guest Editors
Chadi Barakat INRIA – Planète group 2004, route des Lucioles 06902 Sophia Antipolis France Chadi.Barakat@sophia.inria.fr Tel: +33 4 92 38 75 96 Fax: +33 4 92 38 79 78
Gianluca Iannaccone Intel Research 15 JJ Thomson Avenue Cambridge CB3 0FD United Kingdom gianluca.iannaccone@intel.com Tel: +44 1223 763454 Fax: +44 1223 763456
Jim Kurose Department of Computer Science University of Massachusetts Amherst MA 01003 United States kurose@cs.umass.edu Tel: +1 413 545 1585 Fax: +1 413 545 1249
Darryl Veitch CUBIN (ARC Special Research Ctr) Department of Electrical & Electronic Engineering University of Melbourne Victoria 3010 Australia dveitch@unimelb.edu.au Tel: +61 3 8344 3817 Fax: +61 3 8344 3821
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