Download Grid Computing — GRID 2000: First IEEE/ACM International by Wolfgang Gentzsch (auth.), Rajkumar Buyya, Mark Baker (eds.) PDF

By Wolfgang Gentzsch (auth.), Rajkumar Buyya, Mark Baker (eds.)

Welcome to GRID 2000, the 1st annual IEEE/ACM foreign workshop on grid computing subsidized through the IEEE computing device Society’s job strength on Cluster Computing (TFCC) and the organization for Computing equipment (ACM). The workshop has obtained beneficiant sponsorship from the ecu Grid discussion board (eGrid), the EuroTools SIG on Metacomputing, Microsoft study (USA), solar Microsystems (USA), and the Centre for improvement of complex Computing (India). it's a signal of the present excessive degrees of curiosity and task in Grid computing that we've got had contributions to the workshop from researchers and builders in Australia, Austria, Canada, France, Germany, Greece, India, Italy, Japan, Korea, The Netherlands, Spain, Switzerland, united kingdom, and united states. it really is our excitement and honor to offer the 1st annual overseas Grid computing assembly software and the court cases. The Grid: a brand new community Computing Infrastructure The transforming into approval for the web besides the provision of robust desktops and excessive pace networks as cost-efficient commodity parts are assisting to alter the way in which we do computing. those new applied sciences are allowing the coupling of a large choice of geographically allotted assets, corresponding to parallel supercomputers, garage structures, info assets, and distinct units, which may then be used as a unified source and therefore shape what's popularly referred to as the “Grids”.

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Additional info for Grid Computing — GRID 2000: First IEEE/ACM International Workshop Bangalore, India, December 17, 2000 Proceedings

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In turn, applications must be able to deal with this dynamic environment via R. Buyya and M. :) GRID 2000, LNCS 1971, pp. 36–46, 2000. c Springer-Verlag Berlin Heidelberg 2000 JaWS: An Open Market-Based Framework 37 appropriate resource allocation strategies, which may depend not only on the form of the computation to be performed but also on various parameters that are supplied by the user interactively at runtime. In this paper we present the Java Web-computing System (JaWS), which enables users to effortlessly and safely export their machines in a global market of processing capacity.

Karipidis Scheduler ControlProtocol MarketSchedulerProtocol Market Server ComputationProtocol Client application UploadProtocol MarketHostAgentProtocol Host Agent Host Agent HostAgentTaskProtocol Task HostAgentTaskProtocol Task ComputationProtocol Fig. 1. Overview of architecture agent, the owner of a host machine simply visits a URL with a Java enabled web browser. From that point onwards, the host agent computes the benchmark scores needed for the host’s profile and takes care of placing orders in the market server on behalf of the user.

Writing computations for the system can be as trivial as implementing a few routines. We feel that the ease of deploying the system and developing applications is of importance to the scientific community as most of the programming is done by scientists themselves with little support from computer experts. The rest of the paper is organized as follows. Section 2 gives an overview of the system architecture. Details about the resource allocation mechanism are given in Sect. 3. In Sect. 4 we show how our system can be used to develop distributed computations in a straightforward way.

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