[Fwd: [Tccc] CFP: INFOCOM Workshop on AUTOMATED NETWORK MANAGEMENT (ANM'08), Deadline Feb 22]
-------- Original-Nachricht -------- Betreff: [Tccc] CFP: INFOCOM Workshop on AUTOMATED NETWORK MANAGEMENT (ANM'08), Deadline Feb 22 Datum: Sun, 03 Feb 2008 21:47:05 +0100 Von: Gunnar Karlsson gk@ee.kth.se Organisation: KTH EE/LCN An: tccc@lists.cs.columbia.edu Referenzen: 001d01c864e6$299eae60$e632ed82@s0902
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CALL FOR PAPERS
1st IEEE Workshop on AUTOMATED NETWORK MANAGEMENT (ANM'08) "Self-Configuration for Large-scale Dynamic Networks" April 18, 2008
http://www.ee.kth.se/lcn/anm08 in conjunction with IEEE INFOCOM 2008, April 13-18, Phoenix, AZ
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Despite recent research and development efforts, network management remains a key challenge for network operators. The time and cost of deploying, configuring and operating networks, already significant today, is expected to increase even further due to the exponential growth in numbers of network elements in the Internet, mobile networks, etc. Furthermore, the increasing sophistication and dynamic nature of many new networks and services make configuration more complex and further mandate continuous adaptation and validation of active configurations in real-time. These factors present major obstacles for the continued growth of networked systems. To overcome these obstacles, we need not only engineering principles for automated configuration management, but also real-time monitoring functions that trigger adaptation of configuration. The ultimate goals are to support future large-scale networks that will self- configure, dynamically adapt to external events and allow for low-cost operation.
Current practices in configuration management are generally performed through low-level interfaces on a per-device basis. However, it is hard if not infeasible to generate, validate and tune configuration parameters in large-scale networks. On the other hand, many of the existing top-down configuration approaches lack scalability and testability in operational networks. Similarly, existing end-to-end monitoring applications usually depend on low-level network activity information, such as traffic counters, MIB variables, device logs, and alarms. A major challenge then is how to efficiently aggregate and analyze these data to construct high-level views of network operations in real-time.
The theme for the first ANM workshop will be "Self-configuration for Large-scale Dynamic Networks," which relates to the aforementioned challenges. ANM offers a unique opportunity for researchers in this area to exchange both ideas and real- life experiences concerning next-generation network management. The workshop will provide a small-group setting for effective discussions and debate.
The workshop solicits original papers on both completed work and work-in- progress. Papers that bring out new and interesting approaches at an early stage of their development are very welcome. The workshop will be held in conjunction with INFOCOM 2008, which draws many leading researchers in the field of networking.
Papers on all topics of network management will be considered. Submission in the following areas are especially encouraged: * Languages and abstractions for configuration management * Analysis of network-wide and systems configurations * Configuration refinement and deployment * Testing of control and data plane configuration * Automatic and adaptive control of networks * Algorithms for distributed monitoring and threshold detection * Tunable monitoring algorithms * Adaptive management protocols for computing global states * Real-time monitoring and control * Analysis of tradeoffs between performance, availability and security * Traffic-aware configuration management * Non-intrusive network instrumentation for monitoring and control * Scalable management approaches * Data-driven event correlation * Proactive and risk-aware management * Management of application overlays and peer-to-peer services * Formal models for network management * Fault Management and aspects of survivability, availability
Important Dates =============== Abstract Submission: February 15, 2008 Paper Submission: February 22, 2008 Acceptance Notification: March 14, 2008 Camera Ready Due: March 20, 2008 Workshop: April 18, 2008
Submissions =========== Submissions must be original work not under review for any other workshop, conference or journal. Submissions must be no longer than 6 pages, must be a
PDF file and must follow the INFOCOM formatting guidelines. Papers should be
submitted via http://edas.info/ as follows:
1. Create a personal account on EDAS, if you do not already have one, and log in. 2. Click on the Submit paper tab and choose ANM'08 from the list. 3. Register the paper with an abstract. 4. Upload the PDF of the paper.
Authors of accepted papers are expected to present their papers at the workshop.
Committee ========= Workshop Chairs: ---------------- Ehab Al-Shaer, DePaul University, USA Rolf Stadler, KTH Royal Institute of Technology, Sweden Yang Richard Yang, Yale University, USA
Program Committee: ----------------------------------- Nikos Anerousis, IBM T.J. Watson Research Center, USA Alex Clemm, Cisco Systems, USA Nick Duffield, ATT Research, USA Olivier Festor, LORIA-INRIA, France Paul Francis, Cornell University, USA Cynthia Hood, Illinois Institute of Technology, USA Chuanyi Ji, Georgia Institute of Technology, USA Dan Jurca, KTH Royal Institute of Technology, Sweden Chuck Kalmanek, ATT Research, USA Emil Lupu, Imperial College, UK David Maltz, Microsoft Research, USA Z. Morley Mao, University of Michigan, USA Sanjai Narain, Telcordia, USA George Pavlou, University College London, UK Aiko Pras, University of Twente, The Netherlands Sanjay Rao, Purdue University, USA Danny Raz, Technion, Israel Adarshpal Sethi, University of Delaware, USA Burkhard Stiller, University of Zurich, Switzerland John Vicente, Intel Corporation, USA Jia Wang, ATT Research, USA Felix Wu, University of California at Davis, USA Geoffrey Xie, Naval Postgraduate School, USA Lixia Zhang, University of California at Los Angeles, USA Yin Zhang, University of Texas at Austin, USA Xiaoyun Zhu, HP Laboratoties, USA Taieb Znati, University of Pittsburgh, USA
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Rolf Stadler
School of Electrical Engineering
KTH Royal Institute of Technology
Stockholm, Sweden
www.ee.kth.se/~stadler
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participants (1)
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Lars Wolf