Supporting software intelligence in ubiquitous environment exploits mobile agent
Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveli...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chang, Yue-Shan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2011 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag 2011 |
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| Übergeordnetes Werk: |
Enthalten in: Journal of ambient intelligence and humanized computing - Berlin : Springer, 2010, 3(2011), 2 vom: 18. Okt., Seite 141-151 |
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| Übergeordnetes Werk: |
volume:3 ; year:2011 ; number:2 ; day:18 ; month:10 ; pages:141-151 |
| Links: |
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| DOI / URN: |
10.1007/s12652-011-0080-0 |
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| Katalog-ID: |
SPR026589230 |
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| 520 | |a Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveling path and manipulation method, may be dynamically changed according to current state of environment. Therefore, a flexible framework that can handle various MAs for a variety of applications in a ubiquitous environment is necessary. In this paper, we present an integrated and flexible framework that can adopt various applications in which the functionality of mobile agent is distinguishable in diversity of networks or systems. We design and implement an agent-based platform that can guide various MAs that are initiated by mobile devices to complete their goal. In addition, we also conduct three experiments to evaluate the performance of MAG system. The evaluation result shows that the latency is reasonable and acceptable. | ||
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| 650 | 4 | |a Intelligent agent |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Mobile computing |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Fan, Chih-Tien |4 aut | |
| 700 | 1 | |a Juang, Tong-Ying |4 aut | |
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10.1007/s12652-011-0080-0 doi (DE-627)SPR026589230 (SPR)s12652-011-0080-0-e DE-627 ger DE-627 rakwb eng Chang, Yue-Shan verfasserin aut Supporting software intelligence in ubiquitous environment exploits mobile agent 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2011 Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveling path and manipulation method, may be dynamically changed according to current state of environment. Therefore, a flexible framework that can handle various MAs for a variety of applications in a ubiquitous environment is necessary. In this paper, we present an integrated and flexible framework that can adopt various applications in which the functionality of mobile agent is distinguishable in diversity of networks or systems. We design and implement an agent-based platform that can guide various MAs that are initiated by mobile devices to complete their goal. In addition, we also conduct three experiments to evaluate the performance of MAG system. The evaluation result shows that the latency is reasonable and acceptable. Mobile agent (dpeaa)DE-He213 Software intelligence (dpeaa)DE-He213 Ubiquitous computing (dpeaa)DE-He213 Intelligent agent (dpeaa)DE-He213 Mobile computing (dpeaa)DE-He213 Fan, Chih-Tien aut Juang, Tong-Ying aut Enthalten in Journal of ambient intelligence and humanized computing Berlin : Springer, 2010 3(2011), 2 vom: 18. Okt., Seite 141-151 (DE-627)620775734 (DE-600)2543187-0 1868-5145 nnns volume:3 year:2011 number:2 day:18 month:10 pages:141-151 https://dx.doi.org/10.1007/s12652-011-0080-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2011 2 18 10 141-151 |
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10.1007/s12652-011-0080-0 doi (DE-627)SPR026589230 (SPR)s12652-011-0080-0-e DE-627 ger DE-627 rakwb eng Chang, Yue-Shan verfasserin aut Supporting software intelligence in ubiquitous environment exploits mobile agent 2011 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag 2011 Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveling path and manipulation method, may be dynamically changed according to current state of environment. Therefore, a flexible framework that can handle various MAs for a variety of applications in a ubiquitous environment is necessary. In this paper, we present an integrated and flexible framework that can adopt various applications in which the functionality of mobile agent is distinguishable in diversity of networks or systems. We design and implement an agent-based platform that can guide various MAs that are initiated by mobile devices to complete their goal. In addition, we also conduct three experiments to evaluate the performance of MAG system. The evaluation result shows that the latency is reasonable and acceptable. Mobile agent (dpeaa)DE-He213 Software intelligence (dpeaa)DE-He213 Ubiquitous computing (dpeaa)DE-He213 Intelligent agent (dpeaa)DE-He213 Mobile computing (dpeaa)DE-He213 Fan, Chih-Tien aut Juang, Tong-Ying aut Enthalten in Journal of ambient intelligence and humanized computing Berlin : Springer, 2010 3(2011), 2 vom: 18. Okt., Seite 141-151 (DE-627)620775734 (DE-600)2543187-0 1868-5145 nnns volume:3 year:2011 number:2 day:18 month:10 pages:141-151 https://dx.doi.org/10.1007/s12652-011-0080-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 3 2011 2 18 10 141-151 |
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supporting software intelligence in ubiquitous environment exploits mobile agent |
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Supporting software intelligence in ubiquitous environment exploits mobile agent |
| abstract |
Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveling path and manipulation method, may be dynamically changed according to current state of environment. Therefore, a flexible framework that can handle various MAs for a variety of applications in a ubiquitous environment is necessary. In this paper, we present an integrated and flexible framework that can adopt various applications in which the functionality of mobile agent is distinguishable in diversity of networks or systems. We design and implement an agent-based platform that can guide various MAs that are initiated by mobile devices to complete their goal. In addition, we also conduct three experiments to evaluate the performance of MAG system. The evaluation result shows that the latency is reasonable and acceptable. © Springer-Verlag 2011 |
| abstractGer |
Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveling path and manipulation method, may be dynamically changed according to current state of environment. Therefore, a flexible framework that can handle various MAs for a variety of applications in a ubiquitous environment is necessary. In this paper, we present an integrated and flexible framework that can adopt various applications in which the functionality of mobile agent is distinguishable in diversity of networks or systems. We design and implement an agent-based platform that can guide various MAs that are initiated by mobile devices to complete their goal. In addition, we also conduct three experiments to evaluate the performance of MAG system. The evaluation result shows that the latency is reasonable and acceptable. © Springer-Verlag 2011 |
| abstract_unstemmed |
Abstract Mobile agent (MA) is a popular approach being applied to numerous applications to achieve predefined goal. A ubiquitous computing engages many computational devices and systems simultaneously, and may not necessarily even be aware that they are doing so. The context of MA, including traveling path and manipulation method, may be dynamically changed according to current state of environment. Therefore, a flexible framework that can handle various MAs for a variety of applications in a ubiquitous environment is necessary. In this paper, we present an integrated and flexible framework that can adopt various applications in which the functionality of mobile agent is distinguishable in diversity of networks or systems. We design and implement an agent-based platform that can guide various MAs that are initiated by mobile devices to complete their goal. In addition, we also conduct three experiments to evaluate the performance of MAG system. The evaluation result shows that the latency is reasonable and acceptable. © Springer-Verlag 2011 |
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Supporting software intelligence in ubiquitous environment exploits mobile agent |
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https://dx.doi.org/10.1007/s12652-011-0080-0 |
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true |
| author2 |
Fan, Chih-Tien Juang, Tong-Ying |
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Fan, Chih-Tien Juang, Tong-Ying |
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620775734 |
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c |
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| doi_str |
10.1007/s12652-011-0080-0 |
| up_date |
2024-07-03T21:42:44.019Z |
| _version_ |
1803595771041284096 |
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