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Re: [SwarmFest2004] sf04 abstract submission


From: Rick Riolo
Subject: Re: [SwarmFest2004] sf04 abstract submission
Date: Wed, 31 Mar 2004 19:13:29 -0500 (EST)

hi matteo,
ok, we have your abstract, thanks!
 - r

Rick Riolo                           address@hidden
Center for the Study of Complex Systems (CSCS)
4477 Randall Lab
University of Michigan         Ann Arbor MI 48109-1120
Phone: 734 763 3323                  Fax: 734 763 9267
http://cscs.umich.edu/~rlr

On Wed, 31 Mar 2004, Matteo Morini wrote:

> Date: Wed, 31 Mar 2004 22:12:57 +0200
> From: Matteo Morini <address@hidden>
> To: address@hidden
> Subject: [SwarmFest2004] sf04 abstract submission
>
> Please consider inlined abstract for the sf04.
>
> Thank you, Matteo Morini
>
> -------------------------------------------------------------
>
>
> Penelope meets Nemote: distributed production planning optimization
>
> The original textile-oriented production planner Penelope is an
> extremely timeconsuming process, very heavy from a computational
> standpoint.  Running the system as a monolythic task, on a single CPU,
> brings unsustainably long completion times, especially when employed
> in production environments where the size of the planning problem
> exceeds the naiveté of unsophisticated situations tailored for testing
> needs only.
>
> In order to overcome prompt response constraints, the inherently
> parallel work of evaluating multiple candidate plans has been
> distributed among multiple CPUs, residing on networked pcs.
>
> The tasks distribution, load balancing and failure tolerance
> management is performed by an infrastructure developed by the Nemote*
> group: Riccardo Boero, Gianluigi Ferraris, Matteo Morini and Michele
> Sonnessa.  The original, swarm-based, objective-C model has been split
> into self-contained components glued together by java
> processes. Different nodes comminicate via RMI and the java and
> objective C parts communicate via tcp sockets.
>
> Performance scales almost linearly, thanks to the careful trimming of
> the system, which allows tasks to be distributed in batch in order to
> minimize network overhead.
>
> Nemote has not been developed as an ad-hoc tool, being easy to exploit
> whenever distributed computational needs arise, when parallel
> modelization is the fundamental issue, when remote interaction among
> cooperative distributed processing leads to more plausible
> simulations.
>
> (*) NEtworked MOdelling TEam, supported by the Liases Computer Lab of
> the Faculty of Economics, University of Turin
>
>
>
>
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