An intelligent agent with layered architecture for operating systems resource management
Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (...
Ausführliche Beschreibung
Autor*in: |
Feng, Shan [verfasserIn] Da Xu, Li [verfasserIn] Tang, Chao [verfasserIn] |
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E-Artikel |
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Erschienen: |
Oxford, UK: Blackwell Publishing ; 2003 |
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Online-Ressource |
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Reproduktion: |
2003 ; Blackwell Publishing Journal Backfiles 1879-2005 |
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Übergeordnetes Werk: |
In: Expert systems - Oxford [u.a.] : Wiley-Blackwell, 1997, 20(2003), 4, Seite 0 |
Übergeordnetes Werk: |
volume:20 ; year:2003 ; number:4 ; pages:0 |
Links: |
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DOI / URN: |
10.1111/1468-0394.00241 |
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Katalog-ID: |
NLEJ242375111 |
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10.1111/1468-0394.00241 doi (DE-627)NLEJ242375111 DE-627 ger DE-627 rakwb Feng, Shan verfasserin aut An intelligent agent with layered architecture for operating systems resource management Oxford, UK Blackwell Publishing 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| intelligent agents Da Xu, Li verfasserin aut Tang, Chao verfasserin aut Yang, Simon oth In Expert systems Oxford [u.a.] : Wiley-Blackwell, 1997 20(2003), 4, Seite 0 Online-Ressource (DE-627)NLEJ243925662 (DE-600)2016958-9 1468-0394 nnns volume:20 year:2003 number:4 pages:0 http://dx.doi.org/10.1111/1468-0394.00241 text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 20 2003 4 0 |
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10.1111/1468-0394.00241 doi (DE-627)NLEJ242375111 DE-627 ger DE-627 rakwb Feng, Shan verfasserin aut An intelligent agent with layered architecture for operating systems resource management Oxford, UK Blackwell Publishing 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| intelligent agents Da Xu, Li verfasserin aut Tang, Chao verfasserin aut Yang, Simon oth In Expert systems Oxford [u.a.] : Wiley-Blackwell, 1997 20(2003), 4, Seite 0 Online-Ressource (DE-627)NLEJ243925662 (DE-600)2016958-9 1468-0394 nnns volume:20 year:2003 number:4 pages:0 http://dx.doi.org/10.1111/1468-0394.00241 text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 20 2003 4 0 |
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10.1111/1468-0394.00241 doi (DE-627)NLEJ242375111 DE-627 ger DE-627 rakwb Feng, Shan verfasserin aut An intelligent agent with layered architecture for operating systems resource management Oxford, UK Blackwell Publishing 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| intelligent agents Da Xu, Li verfasserin aut Tang, Chao verfasserin aut Yang, Simon oth In Expert systems Oxford [u.a.] : Wiley-Blackwell, 1997 20(2003), 4, Seite 0 Online-Ressource (DE-627)NLEJ243925662 (DE-600)2016958-9 1468-0394 nnns volume:20 year:2003 number:4 pages:0 http://dx.doi.org/10.1111/1468-0394.00241 text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 20 2003 4 0 |
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10.1111/1468-0394.00241 doi (DE-627)NLEJ242375111 DE-627 ger DE-627 rakwb Feng, Shan verfasserin aut An intelligent agent with layered architecture for operating systems resource management Oxford, UK Blackwell Publishing 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| intelligent agents Da Xu, Li verfasserin aut Tang, Chao verfasserin aut Yang, Simon oth In Expert systems Oxford [u.a.] : Wiley-Blackwell, 1997 20(2003), 4, Seite 0 Online-Ressource (DE-627)NLEJ243925662 (DE-600)2016958-9 1468-0394 nnns volume:20 year:2003 number:4 pages:0 http://dx.doi.org/10.1111/1468-0394.00241 text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 20 2003 4 0 |
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10.1111/1468-0394.00241 doi (DE-627)NLEJ242375111 DE-627 ger DE-627 rakwb Feng, Shan verfasserin aut An intelligent agent with layered architecture for operating systems resource management Oxford, UK Blackwell Publishing 2003 Online-Ressource nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. 2003 Blackwell Publishing Journal Backfiles 1879-2005 |2003|||||||||| intelligent agents Da Xu, Li verfasserin aut Tang, Chao verfasserin aut Yang, Simon oth In Expert systems Oxford [u.a.] : Wiley-Blackwell, 1997 20(2003), 4, Seite 0 Online-Ressource (DE-627)NLEJ243925662 (DE-600)2016958-9 1468-0394 nnns volume:20 year:2003 number:4 pages:0 http://dx.doi.org/10.1111/1468-0394.00241 text/html Verlag Deutschlandweit zugänglich Volltext GBV_USEFLAG_U ZDB-1-DJB GBV_NL_ARTICLE AR 20 2003 4 0 |
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Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. |
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Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. |
abstract_unstemmed |
Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">NLEJ242375111</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20210707154133.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">120427s2003 xx |||||o 00| ||und c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1111/1468-0394.00241</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)NLEJ242375111</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Feng, Shan</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An intelligent agent with layered architecture for operating systems resource management</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Oxford, UK</subfield><subfield code="b">Blackwell Publishing</subfield><subfield code="c">2003</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract: A software agent is defined as an autonomous software entity that is able to interact with its environment. Such an agent is able to respond to other agents and/or its environment to some degree, and has some sort of control over its internal state and actions. In belief–desire–intention (BDI) theory, an agent's behavior is described in terms of a processing cycle. In this paper, based on BDI theory, the processing cycle is studied with a software feedback mechanism. A software feedback or loop-back control mechanism can perform functions without direct external intervention. A feedback mechanism can continuously monitor the output of the system under control (the target system), compare the result against preset values (goals of the feedback control) and feed the difference back to adjust the behavior of the target system in a processing cycle. We discuss the modeling and design aspects of an autonomous, adaptive monitoring agent with layered control architecture. The architecture consists of three layers: a scheduling layer, an optimizing layer and a regulating layer. Experimental results show that the monitoring agent developed for an e-mail server is effective.</subfield></datafield><datafield tag="533" ind1=" " ind2=" "><subfield code="d">2003</subfield><subfield code="f">Blackwell Publishing Journal Backfiles 1879-2005</subfield><subfield code="7">|2003||||||||||</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">intelligent agents</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Da Xu, Li</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tang, Chao</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yang, Simon</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">Expert systems</subfield><subfield code="d">Oxford [u.a.] : Wiley-Blackwell, 1997</subfield><subfield code="g">20(2003), 4, Seite 0</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ243925662</subfield><subfield code="w">(DE-600)2016958-9</subfield><subfield code="x">1468-0394</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:20</subfield><subfield code="g">year:2003</subfield><subfield code="g">number:4</subfield><subfield code="g">pages:0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://dx.doi.org/10.1111/1468-0394.00241</subfield><subfield code="q">text/html</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-DJB</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">20</subfield><subfield code="j">2003</subfield><subfield code="e">4</subfield><subfield code="h">0</subfield></datafield></record></collection>
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