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EON 2011 (https://sites.google.com/site/eon2011)

International Workshop on
Network-Optimized Computing at the Edge-of-the-Network
June 4, 2011
San Jose, CA, USA

(In conjunction with the International Symposium on Computer Architecture
ISCA June 4-7, 2011)

Background:

Historically, there has been a distinct separation between the networking
and server domains. This partitioning has reflected itself in networking
processors being specifically optimized for layer 2/3/4 networking stacks
up to TCP/IP and employing hardware acceleration to maintain line-rate
processing. At the other end of the spectrum are general purpose
server processors, which have a rich instruction-set architecture, programming
and tools environment, but they require higher power and carry the
overhead necessary for providing a general purpose processing infrastructure.

Network-optimized computing is the capability for application processing
at networking speeds and unifies both networking and server functionalities.
As the performance of network interconnects increases from current 10Gb/s rates
and approaches 100Gb/s in 2015, network-optimizing requires a new generation
of processors that can meet the latency and bandwidth needs while optimizing
overall power dissipation. Important attributes of the new processors include
massive multithreading, integrated networking support, and hardware accelerators
in a balanced system configuration with a robust instruction set architecture
and programming environment.

Network architectures consist of many layers, in which
at each boundary or "edge," network-optimized computing can be carried out.
This workshop will explore all aspects of processing at different edges
in network architectures, each with it's own trade-offs and requirements.

The trend of edge-of-network computing began with wired networks, where
the dominant method to optimize for end-to-end application performance is
by utilizing a series of application optimization controllers at various
edges of the network. Mobile computing, with higher data rates
offered by 3G and 4G networks, offers the promise of seamlessly extending
the wired experience to the wireless world.

This workshop will encourage works that amplify and accelerate these trends.
We also hope that the workshop will lead to the creation of an ecosystem of
academic researchers and industrial practitioners that study
related issues, share experiences, and document the trade-offs, for
the benefit of the ISCA and extended high-performance computing community.

We invite both long (up to 5 pages) and short papers (up to 3) covering
the following areas of optimization at the edge of the network:
- Processors and system architectures
- Design and implementation issues
- Scalability, power, and performance trade-offs
- Special-purpose vs. off-the-shelf components and systems
- Programming models, tools, productivity issues
- Reliability-Availability-Serviceability (RAS) issues
- Implications of virtualization, partitioning, and resource-sharing
- System and infrastructure management

The IEEE formatting templates
(http://www.ieee.org/conferences_events/conferences/publishing/templates.html)
will be used for the final manuscripts; we highly encourage the authors to use
the same for their review manuscripts.

It is our intention to accept as many high-quality papers as possible to fit
within the time limit of the workshop. We expect that the authors will attend
the workshop to present their work & answer questions/comments from other
workshop participants. Along with formal presentations, we will encourage
the use of tools such as white-boards for sharing of ideas during each
presentation.

Paper submission website is
(http://www.easychair.org/conferences/?conf=eon2011). (If you do not already
have an EasyChair account, you will be prompted to create one.)

Paper submission deadline: April 18, 2011.

Workshop Organizers:
Sumedh Sathaye, IBM T.J. Watson Research Center
Shahrokh Daijavad, IBM T.J. Watson Research Center

Program Committee:
Flavio Bonomi, Cisco Research
Shahrokh Daijavad, IBM Watson
Vijay Gopalakrishnan, AT&T Research
Luke Ibbetson, Vodafone
KyoungSoo Park, KAIST
Miguel Rio, University College London
Sumedh Sathaye, IBM Watson
Michael Weintraub, Verizon Wireless
Tilman Wolf, University of Massachusetts, Amherst
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