The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Há uma demanda cada vez maior por melhor desempenho e escalabilidade em sistemas de fluxo de trabalho. Descrevemos como os agentes móveis podem ser usados para satisfazer tal requisito. Para tanto, duas importantes questões de design são apontadas nos níveis de execução e arquitetura do fluxo de trabalho. Modelos de delegação de agentes e uma arquitetura de 3 camadas são sugeridos em sistemas de fluxo de trabalho baseados em agentes móveis como uma solução para cada consideração. A carga de trabalho é distribuída estaticamente entre os executores das tarefas com base no método proposto. Como resultado, o desempenho e a escalabilidade são melhorados. A eficácia é demonstrada através da simulação estocástica de redes de Petri através da comparação com sistemas de fluxo de trabalho baseados em cliente-servidor e outros sistemas de fluxo de trabalho baseados em agentes móveis.
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Jeong-Joon YOO, Young-Ho SUH, Dong-Ik LEE, "Performance and Scalability Issues in Mobile Agent Based Workflow Systems" in IEICE TRANSACTIONS on Communications,
vol. E84-B, no. 10, pp. 2729-2739, October 2001, doi: .
Abstract: There is an ever-increasing demand for better performance and scalability in workflow systems. We describe how mobile agents can be used to satisfy such a requirement. For the purpose two important design issues are pointed out in workflow execution and architecture levels. Agent delegation models and a 3-layer architecture are suggested in mobile agent based workflow systems as a solution for each consideration. Workload is statically distributed over task performers based on the proposed method. As a result the performance and the scalability are improved. The effectiveness is shown through stochastic Petri-nets simulation through comparison with client-server based- and another mobile agent-based workflow systems.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e84-b_10_2729/_p
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@ARTICLE{e84-b_10_2729,
author={Jeong-Joon YOO, Young-Ho SUH, Dong-Ik LEE, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance and Scalability Issues in Mobile Agent Based Workflow Systems},
year={2001},
volume={E84-B},
number={10},
pages={2729-2739},
abstract={There is an ever-increasing demand for better performance and scalability in workflow systems. We describe how mobile agents can be used to satisfy such a requirement. For the purpose two important design issues are pointed out in workflow execution and architecture levels. Agent delegation models and a 3-layer architecture are suggested in mobile agent based workflow systems as a solution for each consideration. Workload is statically distributed over task performers based on the proposed method. As a result the performance and the scalability are improved. The effectiveness is shown through stochastic Petri-nets simulation through comparison with client-server based- and another mobile agent-based workflow systems.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Performance and Scalability Issues in Mobile Agent Based Workflow Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 2729
EP - 2739
AU - Jeong-Joon YOO
AU - Young-Ho SUH
AU - Dong-Ik LEE
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E84-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2001
AB - There is an ever-increasing demand for better performance and scalability in workflow systems. We describe how mobile agents can be used to satisfy such a requirement. For the purpose two important design issues are pointed out in workflow execution and architecture levels. Agent delegation models and a 3-layer architecture are suggested in mobile agent based workflow systems as a solution for each consideration. Workload is statically distributed over task performers based on the proposed method. As a result the performance and the scalability are improved. The effectiveness is shown through stochastic Petri-nets simulation through comparison with client-server based- and another mobile agent-based workflow systems.
ER -