Flexible coordinator design for modeling resource sharing in multi-agent systems

Lian, Jiexin; Shatz, Sol M.; He, Xudong

doi:10.1016/j.jss.2009.04.054

Cited by 9 publications

(4 citation statements)

References 24 publications

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“…Agents use hierarchical business knowledge models with business process rules at the top, business rules to control policy and logic in the middle and a base layer defining business concepts. Later, the authors design a flexible method that supports a range of coordinator components [10]. However, the approaches defined in the above don't consider the operation of service, and they don't involve in how to filter the service.…”

Section: Related Workmentioning

confidence: 99%

Modeling and Analyzing Adaptive Energy Consumption for Service Composition

Fan¹,

Chen

2015

International Conferences on Software Engineering and Knowledge Engineering

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Abstract-In this paper, Petri nets are used to model the different components of service composition, and form the energy consumption model of service composition based on the relationship between components, Agent is also introduced in the energy consumption management process. Then, an adaptive energy consumption strategy are proposed to dynamically ensure that service composition can get the lowest energy consumption. The operational semantics and related theories of Petri nets help establish the correctness of our proposed method. We have also performed two simulations to evaluate our proposed approach. Results show that it can help reveal the structural and behavioral characteristics of energy consumption in service composition.Index Terms-Service composition, Agent, Petri nets, energy consumption I. INTRODUCTION Service composition provides a mechanism for distributed software integration, which primarily concerns the requests of users that cannot be satisfied by any available service [1]. This increased usage of service composition, together with the increasing energy costs [2]. The energy management is highly complex. First, energy consumption is inherently complicated due to the scale, heterogeneity, and concurrent user services that share a common set of service. Second, the operating environment of service composition is dynamic, it is difficult to plan energy consumption schema at design time. When service composition starts to execute, composition can not achieve the goal because of wrong design of composition or can not meet the required energy consumption. The failure will result in a waste of computing resources and increase energy consumption. Therefore, it requires that energy consumption management of service composition must have a certain adaptive ability, which means that service composition can dynamically select the service, in order to complete its execution successfully and meet the required energy consumption.Contributions. This paper investigates how to model and analyze the energy consumption of service composition based on user requirements. Below summarizes our main contributions: (1) Petri nets [3] are used to model different components of service composition. Agent[4] is introduced in the energy consumption management process. (2) We evaluate the energy consumption of service composition from the operational level(in addition to service, component, connector and Agent). Based on the model, we propose an adaptive energy consumption strategy to dynamically ensure that service composition can get the lowest energy consumption. (3) The operational

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Section: Related Workmentioning

confidence: 99%

Modeling and Analyzing Adaptive Energy Consumption for Service Composition

Fan¹,

Chen

2015

International Conferences on Software Engineering and Knowledge Engineering

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“…The most famous bio-inspired algorithms include genetic algorithm [1] , neural network [14] , immune system [24] . Multi-agent system simulates society and human decision behavior [16,20] . In the above approaches, bio-inspired structures and principles are designed by metaphors from genetic system, neural system, immune system and psychology.…”

Section: Bio-nspired Approachesmentioning

confidence: 99%

A multi-affinity model for logistics network inspired by bio-system

Hu¹,

Sheng²

2014

IJCIS

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How can we deal with the increasing scale of large logistics network for the booming economy? The structure, mechanisms and principles upon the logistics network show an evolutionary tendency which is complex, and interesting for designing and optimizing logistics network. The adaptability, stability and evolution capability are attractive for artificial intelligent systems. Inspired by biological systems, the metaphors for the structure and eight primary mechanisms are extracted to design a multi-affinity model for bio-inspired logistics network. Then, by mapping the biological elements and functions to logistics network, the evolutionary structure and simulation approach for logistics network are proposed and investigated by experiments. It is a novel way to study the complexity of logistics network and it is an interesting bionic approach for artificial network model. The research result can be employed to study the emergency features and collective behavior of large-scale logistics network.

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“…In the reference [1], a flexible design method that supports a range of coordinator components is described, which defines four levels of coordination and an associated four-step coordinator generation process. Reference [2] aims to improve the insufficiency of the contract net by developing a mechanism to facilitate cooperation of agents to accomplish their tasks while avoiding undesirable states and enhances the overall system performance in manufacturing systems.…”

Section: Instructionmentioning

confidence: 99%

Cooperative Planning Process Modeling on Daily Dispatching Plan in Railway Bureau Based on Multi-agent

Liu

Zheng

Zhu³

2010

2010 International Conference on Intelligent System Design and Engineering Application

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For the everyday dispatching and commanding in the existing railway line in China, the accuracy of dispatching daily plan directly affects the whole efficiency of the dispatching and commanding system in the railway bureau. The planning process of daily dispatching plan is a complex cooperative process in which many participating roles are involved. Establishing the process model is helpful to reflect the essential characteristics, and improve the accuracy of daily dispatching plan. At present, Multi-Agent technology has been one of the key modeling technologies of complex collaborative process, and has been successfully applied in many areas. In this paper, we focus on the problem of the cooperative planning process modeling about daily dispatching plan which is based on the modeling of multi-level and multi-role. In contrast to the traditional planning model, a cooperative planning process model based on Multi-Agent is provided. Such a multi-level and multi-roles process model not only reflects the process's characteristics, but provides an important guide for the cooperative planning information system in each railway bureau about daily dispatching plan in the range of the whole railway.Keywords process modeling, cooperative planning, dispatching daily plan, process-oriented planning pattern dispatching and commanding. I. INSTRUCTIONIn the dispatching and commanding system for the railway in China, all kinds of the unexpected factors must be considered such as the changes of the current train flow, source of goods, passenger flow, equipment maintenance and nature disasters. It is necessary to make a good daily dispatching plan for all transporting activities occurring in the planning horizon. Its accuracy directly affects the efficiency of the daily dispatching and commanding activities, and therefore how to improve its accuracy has become the most concerned problem in the field of dispatching and commanding system. Due to the restriction of the traditional business organization pattern which is function-based, the current sub-processes for planning lacks enough coordination, making the accuracy of the daily dispatching plan relatively low. Changing the traditional organization model and then building the new model that can reflect the essential characteristics of its planning process is becoming urgent and of practical significance.At present, the multi-agent modeling technology has become one of the mainstream modeling technologies for the complex cooperative process, and many domestic and foreign scholars have established their respective complex collaborative process models for different application fields with the consideration of the fields' characteristics by multiagent technology, as follow:In the reference[1], a flexible design method that supports a range of coordinator components is described, which defines four levels of coordination and an associated four-step coordinator generation process. Reference [2] aims to improve the insufficiency of the contract net by developing a mechanism to facilitate...

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Flexible coordinator design for modeling resource sharing in multi-agent systems

Cited by 9 publications

References 24 publications

Modeling and Analyzing Adaptive Energy Consumption for Service Composition

Modeling and Analyzing Adaptive Energy Consumption for Service Composition

A multi-affinity model for logistics network inspired by bio-system

Cooperative Planning Process Modeling on Daily Dispatching Plan in Railway Bureau Based on Multi-agent

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