Degradable computer systems with dependent subsystems
When building a model for degradable computer systems, it is not sufficient to merely quantify reliability and performance measures. These indices must be mathematically sound if they are to be used to design such systems in an optimal way. The paper presents an analysis of design optimisation for d...
Gespeichert in:
Hauptverfasser: | , |
---|---|
Format: | Tagungsbericht |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 68 |
---|---|
container_issue | |
container_start_page | 59 |
container_title | |
container_volume | |
creator | Khelalfa, Halin M. von Mayrhauser, Anneliese K. |
description | When building a model for degradable computer systems, it is not sufficient to merely quantify reliability and performance measures. These indices must be mathematically sound if they are to be used to design such systems in an optimal way. The paper presents an analysis of design optimisation for degradable computer systems and shows how this particular application leads to a system model with interdepedent subsystems. A procedure is presented on how to solve the resulting Markov model. Its computational complexity is compared to another solution method and shown to be largely more efficient. |
doi_str_mv | 10.1145/317795.317811 |
format | Conference Proceeding |
fullrecord | <record><control><sourceid>proquest_acm_b</sourceid><recordid>TN_cdi_proquest_miscellaneous_31137723</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>31137723</sourcerecordid><originalsourceid>FETCH-LOGICAL-a1381-f5ee71472e6db6ad812d106bfd77d9972887c37a11b24138519d4f07cefa65fb3</originalsourceid><addsrcrecordid>eNqFkD1PwzAQhi0BElXJyJ6JiRRfHPvsEZVPqRILzJYdn6GQNCVOhPj3BKUSI7e8Ot1z7_Awdg58BVDJKwGIRq6m0ABHLDOouTZoAJRRx2zBQYlCGmNOWZbSO59G82k1CyZv6LV3wfmG8rpr9-NAfZ6-00Btyr-2w1seaE-7QLshT6M_XM7YSXRNouyQS_Zyd_u8fig2T_eP6-tN4UBoKKIkQqiwJBW8ckFDGYArHwNiMAZLrbEW6AB8WU0fEkyoIseaolMyerFkF3Pvvu8-R0qDbbeppqZxO-rGZAWAQCzFBF7OoKtb67vuI1ng9leOneXYWY71_ZbiX-8_uPgBOnRiPA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype><pqid>31137723</pqid></control><display><type>conference_proceeding</type><title>Degradable computer systems with dependent subsystems</title><source>ACM Digital Library Complete</source><creator>Khelalfa, Halin M. ; von Mayrhauser, Anneliese K.</creator><contributor>Gaither, Blaine D.</contributor><creatorcontrib>Khelalfa, Halin M. ; von Mayrhauser, Anneliese K. ; Gaither, Blaine D.</creatorcontrib><description>When building a model for degradable computer systems, it is not sufficient to merely quantify reliability and performance measures. These indices must be mathematically sound if they are to be used to design such systems in an optimal way. The paper presents an analysis of design optimisation for degradable computer systems and shows how this particular application leads to a system model with interdepedent subsystems. A procedure is presented on how to solve the resulting Markov model. Its computational complexity is compared to another solution method and shown to be largely more efficient.</description><identifier>ISSN: 0163-5999</identifier><identifier>ISBN: 9780897911696</identifier><identifier>ISBN: 0897911695</identifier><identifier>DOI: 10.1145/317795.317811</identifier><language>eng</language><publisher>New York, NY, USA: ACM</publisher><subject>Computing methodologies -- Modeling and simulation ; General and reference -- Cross-computing tools and techniques -- Metrics ; Mathematics of computing -- Probability and statistics -- Probabilistic representations -- Markov networks ; Mathematics of computing -- Probability and statistics -- Stochastic processes -- Markov processes ; Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management -- Systems analysis and design ; Theory of computation -- Theory and algorithms for application domains -- Machine learning theory -- Markov decision processes</subject><ispartof>Performance evaluation review, 1985, p.59-68</ispartof><rights>1985 ACM</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>309,310,776,780,785,786,23909,23910,25118,27902</link.rule.ids></links><search><contributor>Gaither, Blaine D.</contributor><creatorcontrib>Khelalfa, Halin M.</creatorcontrib><creatorcontrib>von Mayrhauser, Anneliese K.</creatorcontrib><title>Degradable computer systems with dependent subsystems</title><title>Performance evaluation review</title><description>When building a model for degradable computer systems, it is not sufficient to merely quantify reliability and performance measures. These indices must be mathematically sound if they are to be used to design such systems in an optimal way. The paper presents an analysis of design optimisation for degradable computer systems and shows how this particular application leads to a system model with interdepedent subsystems. A procedure is presented on how to solve the resulting Markov model. Its computational complexity is compared to another solution method and shown to be largely more efficient.</description><subject>Computing methodologies -- Modeling and simulation</subject><subject>General and reference -- Cross-computing tools and techniques -- Metrics</subject><subject>Mathematics of computing -- Probability and statistics -- Probabilistic representations -- Markov networks</subject><subject>Mathematics of computing -- Probability and statistics -- Stochastic processes -- Markov processes</subject><subject>Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management -- Systems analysis and design</subject><subject>Theory of computation -- Theory and algorithms for application domains -- Machine learning theory -- Markov decision processes</subject><issn>0163-5999</issn><isbn>9780897911696</isbn><isbn>0897911695</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1985</creationdate><recordtype>conference_proceeding</recordtype><recordid>eNqFkD1PwzAQhi0BElXJyJ6JiRRfHPvsEZVPqRILzJYdn6GQNCVOhPj3BKUSI7e8Ot1z7_Awdg58BVDJKwGIRq6m0ABHLDOouTZoAJRRx2zBQYlCGmNOWZbSO59G82k1CyZv6LV3wfmG8rpr9-NAfZ6-00Btyr-2w1seaE-7QLshT6M_XM7YSXRNouyQS_Zyd_u8fig2T_eP6-tN4UBoKKIkQqiwJBW8ckFDGYArHwNiMAZLrbEW6AB8WU0fEkyoIseaolMyerFkF3Pvvu8-R0qDbbeppqZxO-rGZAWAQCzFBF7OoKtb67vuI1ng9leOneXYWY71_ZbiX-8_uPgBOnRiPA</recordid><startdate>19850801</startdate><enddate>19850801</enddate><creator>Khelalfa, Halin M.</creator><creator>von Mayrhauser, Anneliese K.</creator><general>ACM</general><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19850801</creationdate><title>Degradable computer systems with dependent subsystems</title><author>Khelalfa, Halin M. ; von Mayrhauser, Anneliese K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a1381-f5ee71472e6db6ad812d106bfd77d9972887c37a11b24138519d4f07cefa65fb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1985</creationdate><topic>Computing methodologies -- Modeling and simulation</topic><topic>General and reference -- Cross-computing tools and techniques -- Metrics</topic><topic>Mathematics of computing -- Probability and statistics -- Probabilistic representations -- Markov networks</topic><topic>Mathematics of computing -- Probability and statistics -- Stochastic processes -- Markov processes</topic><topic>Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management -- Systems analysis and design</topic><topic>Theory of computation -- Theory and algorithms for application domains -- Machine learning theory -- Markov decision processes</topic><toplevel>online_resources</toplevel><creatorcontrib>Khelalfa, Halin M.</creatorcontrib><creatorcontrib>von Mayrhauser, Anneliese K.</creatorcontrib><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Khelalfa, Halin M.</au><au>von Mayrhauser, Anneliese K.</au><au>Gaither, Blaine D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Degradable computer systems with dependent subsystems</atitle><btitle>Performance evaluation review</btitle><date>1985-08-01</date><risdate>1985</risdate><spage>59</spage><epage>68</epage><pages>59-68</pages><issn>0163-5999</issn><isbn>9780897911696</isbn><isbn>0897911695</isbn><abstract>When building a model for degradable computer systems, it is not sufficient to merely quantify reliability and performance measures. These indices must be mathematically sound if they are to be used to design such systems in an optimal way. The paper presents an analysis of design optimisation for degradable computer systems and shows how this particular application leads to a system model with interdepedent subsystems. A procedure is presented on how to solve the resulting Markov model. Its computational complexity is compared to another solution method and shown to be largely more efficient.</abstract><cop>New York, NY, USA</cop><pub>ACM</pub><doi>10.1145/317795.317811</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0163-5999 |
ispartof | Performance evaluation review, 1985, p.59-68 |
issn | 0163-5999 |
language | eng |
recordid | cdi_proquest_miscellaneous_31137723 |
source | ACM Digital Library Complete |
subjects | Computing methodologies -- Modeling and simulation General and reference -- Cross-computing tools and techniques -- Metrics Mathematics of computing -- Probability and statistics -- Probabilistic representations -- Markov networks Mathematics of computing -- Probability and statistics -- Stochastic processes -- Markov processes Social and professional topics -- Professional topics -- Management of computing and information systems -- Project and people management -- Systems analysis and design Theory of computation -- Theory and algorithms for application domains -- Machine learning theory -- Markov decision processes |
title | Degradable computer systems with dependent subsystems |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-28T12%3A50%3A56IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_acm_b&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Degradable%20computer%20systems%20with%20dependent%20subsystems&rft.btitle=Performance%20evaluation%20review&rft.au=Khelalfa,%20Halin%20M.&rft.date=1985-08-01&rft.spage=59&rft.epage=68&rft.pages=59-68&rft.issn=0163-5999&rft.isbn=9780897911696&rft.isbn_list=0897911695&rft_id=info:doi/10.1145/317795.317811&rft_dat=%3Cproquest_acm_b%3E31137723%3C/proquest_acm_b%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=31137723&rft_id=info:pmid/&rfr_iscdi=true |