Reduced base model construction methods for stochastic activity networks
Reduced base model construction methods for stochastic activity networks are discussed. The basic definitions concerning stochastic networks are reviewed and the types of variables used in the construction process are defined. These variables can be used to estimate both transient and steady-state s...
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| Veröffentlicht in: | IEEE journal on selected areas in communications 1991-01, Vol.9 (1), p.25-36 |
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| container_title | IEEE journal on selected areas in communications |
| container_volume | 9 |
| creator | Sanders, W.H. Meyer, J.F. |
| description | Reduced base model construction methods for stochastic activity networks are discussed. The basic definitions concerning stochastic networks are reviewed and the types of variables used in the construction process are defined. These variables can be used to estimate both transient and steady-state system characteristics. The construction operations used and theorems stating the validity of the method are presented. A procedure for generating the reduced base model stochastic process for a given stochastic activity network and performance variable is presented. Some examples which illustrate the method and demonstrate its effectiveness in reducing the size of a state space are presented.< > |
| doi_str_mv | 10.1109/49.64901 |
| format | Article |
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The basic definitions concerning stochastic networks are reviewed and the types of variables used in the construction process are defined. These variables can be used to estimate both transient and steady-state system characteristics. The construction operations used and theorems stating the validity of the method are presented. A procedure for generating the reduced base model stochastic process for a given stochastic activity network and performance variable is presented. Some examples which illustrate the method and demonstrate its effectiveness in reducing the size of a state space are presented.< ></description><identifier>ISSN: 0733-8716</identifier><identifier>EISSN: 1558-0008</identifier><identifier>DOI: 10.1109/49.64901</identifier><identifier>CODEN: ISACEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Computer networks ; Context modeling ; Degradation ; Exact sciences and technology ; Large-scale systems ; Parallel processing ; Petri nets ; Predictive models ; Size measurement ; Stochastic processes ; Storage area networks ; Telecommunications ; Telecommunications and information theory ; Teleprocessing networks. Isdn ; Valuation and optimization of characteristics. 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The basic definitions concerning stochastic networks are reviewed and the types of variables used in the construction process are defined. These variables can be used to estimate both transient and steady-state system characteristics. The construction operations used and theorems stating the validity of the method are presented. A procedure for generating the reduced base model stochastic process for a given stochastic activity network and performance variable is presented. Some examples which illustrate the method and demonstrate its effectiveness in reducing the size of a state space are presented.< ></description><subject>Applied sciences</subject><subject>Computer networks</subject><subject>Context modeling</subject><subject>Degradation</subject><subject>Exact sciences and technology</subject><subject>Large-scale systems</subject><subject>Parallel processing</subject><subject>Petri nets</subject><subject>Predictive models</subject><subject>Size measurement</subject><subject>Stochastic processes</subject><subject>Storage area networks</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teleprocessing networks. Isdn</subject><subject>Valuation and optimization of characteristics. Simulation</subject><issn>0733-8716</issn><issn>1558-0008</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1991</creationdate><recordtype>article</recordtype><recordid>eNpFkEtLxDAYRYMoOI6CW3fdKG465tU8ljKoIwwIouuSpl-YatuMSarMv7faQVd3cQ-Hy0XonOAFIVjfcL0QXGNygGakKFSOMVaHaIYlY7mSRByjkxjfMCacKzpDq2eoBwt1VpkIWedraDPr-5jCYFPj-6yDtPF1zJwPWUzebkxMjc3M2H42aZf1kL58eI-n6MiZNsLZPufo9f7uZbnK108Pj8vbdW4Z5ikHVoFwlBIDXIwLcEUrx7EeFwupiJJOCsJkIZiQoAVVBlhtlQMgitZSsDm6mrzb4D8GiKnsmmihbU0PfoglVYWgjJIRvJ5AG3yMAVy5DU1nwq4kuPy5quS6_L1qRC_3ThOtaV0wvW3iP6-55ErqkbuYuAYA_urJ8Q1pTnAD</recordid><startdate>199101</startdate><enddate>199101</enddate><creator>Sanders, W.H.</creator><creator>Meyer, J.F.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>199101</creationdate><title>Reduced base model construction methods for stochastic activity networks</title><author>Sanders, W.H. ; Meyer, J.F.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c304t-e3be6f221ae464820b2bf409901678187f7613756367e9628ae3dc8fee182d763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1991</creationdate><topic>Applied sciences</topic><topic>Computer networks</topic><topic>Context modeling</topic><topic>Degradation</topic><topic>Exact sciences and technology</topic><topic>Large-scale systems</topic><topic>Parallel processing</topic><topic>Petri nets</topic><topic>Predictive models</topic><topic>Size measurement</topic><topic>Stochastic processes</topic><topic>Storage area networks</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Teleprocessing networks. Isdn</topic><topic>Valuation and optimization of characteristics. Simulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sanders, W.H.</creatorcontrib><creatorcontrib>Meyer, J.F.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE journal on selected areas in communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Sanders, W.H.</au><au>Meyer, J.F.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reduced base model construction methods for stochastic activity networks</atitle><jtitle>IEEE journal on selected areas in communications</jtitle><stitle>J-SAC</stitle><date>1991-01</date><risdate>1991</risdate><volume>9</volume><issue>1</issue><spage>25</spage><epage>36</epage><pages>25-36</pages><issn>0733-8716</issn><eissn>1558-0008</eissn><coden>ISACEM</coden><abstract>Reduced base model construction methods for stochastic activity networks are discussed. The basic definitions concerning stochastic networks are reviewed and the types of variables used in the construction process are defined. These variables can be used to estimate both transient and steady-state system characteristics. The construction operations used and theorems stating the validity of the method are presented. A procedure for generating the reduced base model stochastic process for a given stochastic activity network and performance variable is presented. Some examples which illustrate the method and demonstrate its effectiveness in reducing the size of a state space are presented.< ></abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/49.64901</doi><tpages>12</tpages></addata></record> |
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| ispartof | IEEE journal on selected areas in communications, 1991-01, Vol.9 (1), p.25-36 |
| issn | 0733-8716 1558-0008 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Applied sciences Computer networks Context modeling Degradation Exact sciences and technology Large-scale systems Parallel processing Petri nets Predictive models Size measurement Stochastic processes Storage area networks Telecommunications Telecommunications and information theory Teleprocessing networks. Isdn Valuation and optimization of characteristics. Simulation |
| title | Reduced base model construction methods for stochastic activity networks |
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