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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">V. Michael Bove, Jr.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Mallett, Jacky, 1963-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Architecture. Program In Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Program in Media Arts and Sciences (Massachusetts Institute of Technology)</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-03-24T20:15:49Z</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Program in Media Arts &amp; Sciences, 2000.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 83-84).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis presents a distributed computing system, Kami, which provides support for applications running in an environment of heterogeneous workstations linked together by a high speed network. It enables users to easily create distributed applications by providing a backbone infrastructure of localized daemons which operate in a peer-to-peer networking environment, providing support for software distribution, network communication, and data streaming suitable for use by coarse grained distributed applications. As a collective entity, kami daemons, each individually run on a single machine, form a cooperating anarchy of processes. These support their applications using adaptive algorithms with no form of centralized control. Instead of attempting to provide a controlled environment, this thesis assumes a heterogeneous and uncontrolled environment, and presents a model for distributed computation that is completely decentralized and uses multicast communication between workstations to form an ecology of co-operating processes, which actively attempt to maintain an equilibrium between the demands of their users and the capabilities of the workstations on which they are running.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Jacky Mallett.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">84 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by &#xd;
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   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Architecture. Program In Media Arts and Sciences.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Kami : an anarchic approach to distributed computing</dim:field>
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   	&lt;Title>Kami : an anarchic approach to distributed computing&lt;/Title>
   	&lt;Subtitle>Kamé : an anarchic approach to distributed computing&lt;/Subtitle>
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   	&lt;Abstract>This thesis presents a distributed computing system, Kami, which provides support for applications running in an environment of heterogeneous workstations linked together by a high speed network. It enables users to easily create distributed applications by providing a backbone infrastructure of localized daemons which operate in a peer-to-peer networking environment, providing support for software distribution, network communication, and data streaming suitable for use by coarse grained distributed applications. As a collective entity, kami daemons, each individually run on a single machine, form a cooperating anarchy of processes. These support their applications using adaptive algorithms with no form of centralized control. Instead of attempting to provide a controlled environment, this thesis assumes a heterogeneous and uncontrolled environment, and presents a model for distributed computation that is completely decentralized and uses multicast communication between workstations to form an ecology of co-operating processes, which actively attempt to maintain an equilibrium between the demands of their users and the capabilities of the workstations on which they are running.&lt;/Abstract>
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