Current workflow management systems usually adopt the existing technologies such as TCP/IP-based Web technologies and CORBA as well to fulfill the bottom communications. Very often it has been considered only from a t...Current workflow management systems usually adopt the existing technologies such as TCP/IP-based Web technologies and CORBA as well to fulfill the bottom communications. Very often it has been considered only from a theoretical point of view, mainly for the lack of concrete possibilities to execute with elasticity. MAT (Mobile Agent Technology) represents a very attractive approach to the distributed control of computer networks and a valid alternative to the implementation of strategies for workflow system. This paper mainly focuses on improving the performance of workflow system by using MAT. Firstly, the performances of workflow systems based on both CORBA and mobile agent are summarized and analyzed; Secondly, the performance contrast is presented by introducing the mathematic model of each kind of data interaction process respectively. Last, a mobile agentbased workflow system named MAWMS is presented and described in detail. Key words workflow - Mobile Agent - Contract Net Protocol - CORBA - Web CLC number TP 393 Foundation item: Supported by the National Natural Science Foundation of China (60272024) and National Natural Science Foundation of Henan Province (0411014100)Biography: LI Jie, (1975-), male, lector, Ph. D., research direction: workflow, mobile agent, network management.展开更多
The effect of social network structure on team performance is difficult to investigate using standard field observational studies. This is because social network structure is an endogeneous variable, in that prior tea...The effect of social network structure on team performance is difficult to investigate using standard field observational studies. This is because social network structure is an endogeneous variable, in that prior team performance can influence the values of structural measures such as centrality and connectedness. In this work we propose a novel simulation model based on agent-based modeling that allows social network structure to be treated as an exogeneous variable but still be allowed to evolve over time. The simulation model consists of experiments with multiple runs in each experiment. The social network amongst the agents is allowed to evolve between runs based on past performance. However, within each run, the social network is treated as an exogenous variable where it directly affects workflow performance. The simulation model we describe has several inputs and parameters that increase its validity, including a realistic workflow management depiction and real-world cognitive strategies by the agents.展开更多
文摘Current workflow management systems usually adopt the existing technologies such as TCP/IP-based Web technologies and CORBA as well to fulfill the bottom communications. Very often it has been considered only from a theoretical point of view, mainly for the lack of concrete possibilities to execute with elasticity. MAT (Mobile Agent Technology) represents a very attractive approach to the distributed control of computer networks and a valid alternative to the implementation of strategies for workflow system. This paper mainly focuses on improving the performance of workflow system by using MAT. Firstly, the performances of workflow systems based on both CORBA and mobile agent are summarized and analyzed; Secondly, the performance contrast is presented by introducing the mathematic model of each kind of data interaction process respectively. Last, a mobile agentbased workflow system named MAWMS is presented and described in detail. Key words workflow - Mobile Agent - Contract Net Protocol - CORBA - Web CLC number TP 393 Foundation item: Supported by the National Natural Science Foundation of China (60272024) and National Natural Science Foundation of Henan Province (0411014100)Biography: LI Jie, (1975-), male, lector, Ph. D., research direction: workflow, mobile agent, network management.
文摘The effect of social network structure on team performance is difficult to investigate using standard field observational studies. This is because social network structure is an endogeneous variable, in that prior team performance can influence the values of structural measures such as centrality and connectedness. In this work we propose a novel simulation model based on agent-based modeling that allows social network structure to be treated as an exogeneous variable but still be allowed to evolve over time. The simulation model consists of experiments with multiple runs in each experiment. The social network amongst the agents is allowed to evolve between runs based on past performance. However, within each run, the social network is treated as an exogenous variable where it directly affects workflow performance. The simulation model we describe has several inputs and parameters that increase its validity, including a realistic workflow management depiction and real-world cognitive strategies by the agents.
