We have designed and implemented an open, market-based
computational system called Spawn. The Spawn system utilizes idle
computational reources in a distributed network of heterogeneous
computer workstations. It supports both coarse-grain concurrent
application and the remote executon of many independent tasks.
Using concurrent Monte Carlo simulations as prototypical
applications, we explore issues of fairness in resource
distribution, currency as a form of priority, price equilibria,
the dynamics of transients, and scaling to large systems. In
addition to serving the practical goal of harnessing idle
processor time in a computer network, Spawn has proven to be a
valuable experimental workbench for studying computational
markets and their dynamics
%0 Journal Article
%1 WaldspurgerHHKS92
%A Waldspurger, Carl A.
%A Hogg, Tad
%A Huberman, Bernardo A.
%A Kephart, Jeffrey O.
%A Stornetta, Scott
%D 1992
%J IEEE Transactions on Software Engineering
%K Network computation computational markets, pricing, auctions, Pricing
%N 2
%P 103-117
%T Spawn: A distributed computational economy
%V 18
%X We have designed and implemented an open, market-based
computational system called Spawn. The Spawn system utilizes idle
computational reources in a distributed network of heterogeneous
computer workstations. It supports both coarse-grain concurrent
application and the remote executon of many independent tasks.
Using concurrent Monte Carlo simulations as prototypical
applications, we explore issues of fairness in resource
distribution, currency as a form of priority, price equilibria,
the dynamics of transients, and scaling to large systems. In
addition to serving the practical goal of harnessing idle
processor time in a computer network, Spawn has proven to be a
valuable experimental workbench for studying computational
markets and their dynamics
@article{WaldspurgerHHKS92,
abstract = {We have designed and implemented an open, market-based
computational system called Spawn. The Spawn system utilizes idle
computational reources in a distributed network of heterogeneous
computer workstations. It supports both coarse-grain concurrent
application and the remote executon of many independent tasks.
Using concurrent Monte Carlo simulations as prototypical
applications, we explore issues of fairness in resource
distribution, currency as a form of priority, price equilibria,
the dynamics of transients, and scaling to large systems. In
addition to serving the practical goal of harnessing idle
processor time in a computer network, Spawn has proven to be a
valuable experimental workbench for studying computational
markets and their dynamics},
added-at = {2006-09-13T17:44:28.000+0200},
author = {Waldspurger, Carl A. and Hogg, Tad and Huberman, Bernardo A. and Kephart, Jeffrey O. and Stornetta, Scott},
biburl = {https://www.bibsonomy.org/bibtex/21c86dc1da82b61979ea7c7c996cf9cbd/jmm},
description = {JMM master bibtex},
interhash = {9c691929e68531beacbdcea1fc7b1888},
intrahash = {1c86dc1da82b61979ea7c7c996cf9cbd},
jmm_note = {88, 217,
http://www.research.digital.com/SRC/personal/caw/papers.html},
journal = {IEEE Transactions on Software Engineering},
keywords = {Network computation computational markets, pricing, auctions, Pricing},
number = 2,
pages = {103-117},
timestamp = {2006-09-13T17:44:28.000+0200},
title = {Spawn: A distributed computational economy},
volume = 18,
year = 1992
}