posted by user: sidwiki08 || 2381 views || tracked by 11 users: [display]

IEEE DANMS 2008 : IEEE 3rd International Workshop on Distributed Autonomous Network Management Systems

FacebookTwitterLinkedInGoogle

Link: http://www.danms.org
 
When Nov 30, 2008 - Nov 30, 2008
Where with Globecom 2008, New Orleans, USA
Submission Deadline Jul 27, 2008
Notification Due Sep 15, 2008
Final Version Due Sep 28, 2008
 

Call For Papers

CFP: IEEE DANMS 2008 (co-located with Globecom 2008)
(We apologize if you receive multiple copies of this message.)

Deadline Extension Announcement
-------------------------------

New Paper Submission Deadlines

Paper Submission Deadline : 27th July, 2008


======================================================
Call for Papers

DANMS 2008

3rd International Workshop on Distributed Autonomous Network
Management Systems
Co-located with Globecom 2008, New Orleans, USA
30 November, 2008

http://www.danms.org

The DANMS workshop series focuses on distributed and autonomous
principles for network management and applications of those
principles in network design. This year's workshop emphasizes Service
Centric Network Management considering the impact on the system,
across the whole information flow from service creation to deployment
in the network.

This workshop is looking for full papers describing original,
previously unpublished research work, experimental efforts, practical
experiences with existing systems and industrial developments in the
field of autonomous network management. Papers with a deep focus on a
specific discipline or stimulated by the synergistic interaction of
diverse disciplines are encouraged.

The following is a non-exhaustive list of topics of interest:

Architecture and Systems Topics relating to Autonomic Networks
* Cross-layer system architecture design
* Middleware and O&M techniques for network management
* Resource modeling approaches for network management
* Peer-to-peer techniques for autonomic network management
* Scalability issues in network management
* Security aspects in network management

Autonomic Techniques
* Adaptive & context-based self-management in networks
* Policy (refinement techniques, policy models)
* Knowledge based techniques to support autonomics
* Data management for real-time dynamic service provisioning
* Real-time MIB engineering to provide cross-layer provisioning

Aspects of Service Management
* Use of semantics to enable service deployment and composition
* Automated service composition and orchestration
* Automated service provisioning across multiple service providers

Case Studies in Existing & Emerging Networks
* Lessons, shortcomings and real world experiences with existing
network management systems, protocols and architectures.
* Experiences with service deployment in challenged networks
(ad-hoc, pervasive, sensor etc.) and the implications on the network
management plane

Important Dates:
Paper Submission Deadline:
Paper Submission Deadline : 27th July, 2008
Notification of Acceptance: 15 September, 2008
Camera Ready Deadline: 28 September, 2008
Workshop Date: 30 November, 2008

Keynote Announcement:
"In-network Management: a shift in the management paradigm?"
Dr. Marcus Brunner, NEC Laboratories Europe
"Design of Next Generation Internet Based on Application-Oriented Networking"
Prof. Yu Cheng, Illinois Institute of Technology, USA

Submission URL: http://www.edas.info/newPaper.php?c=6653&track=4693&

Workshop Chairs:
Raouf Boutaba, University of Waterloo Canada
Rolf Stadler, KTH Sweden

TPC Chairs:
Brian Lee, Ericsson Ireland Research
Gerard Parr, University of Ulster, UK

Organizing Team:
Sidath Handurukande, Ericsson Ireland Research
Yangcheng Huang, Ericsson Ireland Research

Technical Program Committee:
Nazim Agoulmine, Uni. of Evry Val d'Essonne, France
Pablo Arozarena, Telefónica I+D, Spain
Javier Baliosian, Uni. of the Republic, Uruguay
Arosha K Bandara, Open University, UK
Saleem Bhatti, Uni. of St Andrews, UK
Anne-Marie Bosneag, Ericsson Ireland Research
Monica Brockmeyer, Wayne State University, USA
Monique Calisti, Whitestein Technologies, Switzerland
Yu Cheng, Illinois Institute of Technology, USA
Zoran Despotovic, NTT DoCoMo Euro-Labs, Germany
Yixin Diao, IBM T. J. Watson Research Center, USA
Petre Dini, Cisco Systems, USA
Simon Dobson, UCD, Ireland
Susanne Engberg, Ericsson Research, Sweden
Patrick Eugster, Purdue Uni., USA
Alex Galis, University College London, UK
Francisco J. Garcia, Agilent Labs, UK
Sidath Handurukande, Ericsson Ireland Research
Masum Z. Hasan, Cisco Systems, USA
James Hong, POSTECH Korea
Yangcheng Huang, Ericsson Ireland Research
Thomas Magedanz, Fraunhofer FOKUS Germany
Richard Mortier, Vipadia, UK
Marcelo Perazolo, IBM, USA
Aiko Pras, University of Twente, Netherlands
Luis Rodrigues, INESC-ID/IST, Portugal
Francoise Sailhan, LIFC Uni. of Franche Comté, France
Richard Schlichting, AT&T Labs, USA
Maarten van Steen, Vrije Uni., Netherlands
Filip de Turck, Ghent University, Belgium
Carlos Westphall, Federal Uni. of Santa Catarina, Brazil
Martin Zach, Siemens AG Austria
Xiaoyun Zhu, Hetlett Packard Labs, USA

Related Resources

IEEE ICICSE 2023   IEEE--2023 the 3rd International Conference on Information Communication and Software Engineering (ICICSE 2023)
IEEE ICCCR 2023   IEEE--2023 3rd International Conference on Computer, Control and Robotics (ICCCR 2023)
IEEE TNSE Special Issue 2022   IEEE TNSE Special Issue on Next-generation Traffic Measurement with Network-wide Perspective and Artificial Intelligence
ICICSE 2023   IEEE--2023 the 3rd International Conference on Information Communication and Software Engineering (ICICSE 2023)
ICCCR 2023   IEEE--2023 3rd International Conference on Computer, Control and Robotics (ICCCR 2023)
IEEE SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
IEEE Big Data - MMBD 2022   IEEE Big Data 2022 Workshop on Multimodal Big Data
ICSC 2023   IEEE International Conference on Semantic Computing
ICASSP 2023   2023 IEEE International Conference on Acoustics, Speech, and Signal Processing
IEEE ICCCBDA 2023   IEEE--2023 the 8th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2023)