NETWORK MANAGEMENT WITH SECURED MOBILE AGENT

Network management scheme must consider security challenges for the Mobile Agent paradigm to be accepted in the Internet computing world. Techniques to provide security solutions have been proposed and some have achieved good results. For example, it is possible to launch a code with a guarantee that it cannot attack the hosting sites. The main problem remaining, however, is protecting the mobile code against malicious service providers, the host problem. This paper proposed a Mobile Agent management scheme in a hierarchical level that provides to user a reliable and flexible global access to internet/network information services. We further described a protection mechanism to Mobile Agents against malicious hosts. As an effort to address host problems we first identify the kinds of attack that may be performed by malicious hosts, and propose a mechanism to prevent these attacks. At each agent host we introduce a trusted third party entity on each server called Secure Service Station (SSS) to carry out security actions.

Design and Implementation of a Network Management System Based on Mobile RMON Agent

To improve the scalability of RMON-based network management, the concept of Mobile RMON Agent (MRA) was presented by combining the mobile agent technology with RMON. Then an MRA-based Network Management System (MRANMS) was designed and implemented. RMON functions were achieved by programming the mobile agent to make it capture and analyze packets locally. The experimental result on the Grasshopper platform indicates that MRA as a mobile agent can migrate to another subnet and calculate a RMON MIB value and TrafficMatrix in a subnet with 29 hosts. Furthermore, the behavior of MRA can be customized to achieve new RMON functions, such as the statistics of hostTable in RMON MIB. It can be concluded that MRANMS is based on the mode of distribution, and besides the compatibility with standard RMON, the system possesses scalability of management function.

Research and Design of Network Management Construction Based on Mobile AGENT

The technical characters of mobile agent （MA） originated in the distributional artificial intelligence domain is introduced. A network management construction based on agent （NMCA） is then proposed. The NMCA structure features are elaborated in detail. A prototype design of NMCA is given by using the jKQML programming. The establishment of NMCA platform will be helpful to reduce the correspondence load of network management and improves the efficiency and the expansion ability of network management systems.

AGENT-BASED WORKFLOW COORDINATION FOR SUPPLY CHAIN MANAGEMENT

To align customer demand with suppliers for reducing work in process and supply costs and increasing re sp onsiveness to customer requirements, a real time collaborative supply chain mana gement system is essential. A solution to the realization of supply chain manage ment capable of timely responding to customer requirements is proposed. Workflow automation is used to manage process interaction across enterprises; Agents can be automatically invoked by supply chain workflow process and are used to pro mote the flexibility and reconfigurability by providing the mechanism in support of distributed compution in an enterprises to meet the requirements of performa nce and business dynamics. An approach that supports agent based workflow proce ss in a supply chain is proposed. And the coordination mechanism between agents is also discussed.

基于Internet的协同产品开发中基于Agent的工作流管理系统框架

基于Internet实现协同产品开发是虚拟制造技术和并行工程思想的融合,而实现它需要一个计算机系统提供有效的管理和支持。文章提出了一个新的框架,在分布式对象技术的基础上,充分发挥工作流技术在任务管理方面的优势和代理技术在知识表达、事务处理、智能性能方面的优势,以代理技术为框架基础,以工作流技术为核心,将这两种技术进行有机结合,使得工作流管理系统能够在Internet的环境下透明地管理协同产品开发中的工作流、资源和数据,从而达到支持协同产品开发的目的。

Research and Implementation of Network Intelligent Management Based on CSCW

This paper analyzes progresses and difficulties of subjects on computer network’s management and artificial intelligence, proposes AGIMA, a new model of network intelligent management, which is based on computer supported cooperative work (CSCW) and combining new technologies such as WWW, Java. AGIMA transfers from information distribution centered mode in traditional network management to computing distribution centered mode, providing intelligence capacity for network management by a whole intelligent agent group. The implementation of AGIMA takes much consideration of openess, scalability, proactive adaptability and friendliness of human computer interface. Authors present properties of intelligent agent in details, and conclude that network intelligence should be cooperation between human and computer.

基于移动Agent的Internet拓扑自动发现研究

发现网络拓扑是实现许多关键网络管理任务的先决条件。然而由于Internet具有庞大的规模和动态性 ,因而发现Internet的拓扑是一项非常困难的任务。提出了一个基于移动Agent的分布式Internet拓扑发现算法 ,在算法中各个自治系统内的拓扑发现采用分布式的方式 ,因而比传统的基于客户 /服务器模式和SNMP的方法具有更高的效率和更好的可伸缩性。

Distributed Optimal Co-multi-microgrids Energy Management for Energy Internet

Unlike conventional power systems, the upcoming energy internet U+0028 EI U+0029 emphasizes comprehensive utilization of energy in the whole power system by coordinating multi-microgrids, which also brings new challenge for the energy management. To address this issue, this paper proposes a novel consensus-based distributed approach based on multi-agent framework to solve the energy management problem of the energy internet, which only requires local information exchange among neighboring agents. Correspondingly, two consensus algorithms are presented, one of which drives the incremental cost of each distributed generator U+0028 DG U+0029 converge to the state of the leader agent-energy router, and the other one is used to estimate the global power mismatch, which is a first-order average consensus algorithm modified by a correction term. In addition, in order to meet the supply-demand balance, an effective control strategy for the energy router is proposed to accurately calculate the power exchange between the microgrid and the main grid. Finally, simulation results within a 7-bus test system are provided to illustrate the effectiveness of the proposed approach. © 2014 Chinese Association of Automation.

Research on Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing

This paper analyzes the reasons for the formation of security problems in mobile agent systems, and analyzes and compares the security mechanisms and security technologies of existing mobile agent systems from the perspective of blocking attacks. On this basis, the host protection mobile agent protection technology is selected, and a method to enhance the security protection of mobile agents (referred to as IEOP method) is proposed. The method first encrypts the mobile agent code using the encryption function, and then encapsulates the encrypted mobile agent with the improved EOP protocol IEOP, and then traces the suspicious execution result. Experiments show that using this method can block most malicious attacks on mobile agents, and can protect the integrity and confidentiality of mobile agents, but the increment of mobile agent tour time is not large.

Light-Weight Simple Network Management Protocol in Wireless Sensor Networks

A Light-Weight Simple Network Management Protocol (LW-SNMP) for the wireless sensor network is proposed, which is a kind of hierarchical network management system including a sink manager, cluster proxies, and node agents. Considering the resource limitations on the sensor nodes, we design new management messages, new data types and new management information base completely. The management messages between the cluster proxy and node agents are delivered as normal data packets. The experiment results show that LW-SNMP can meet the management demands in the resource-limited wireless sensor networks and has a good performance in stability, effectiveness of memory, extensibility than the traditional Simple Network Management Protocol (SNMP).

Intelligent Multi-Agent Based Information Management Methods to Direct Complex Industrial Systems

In recent years, the increasingly complexity of the logistic and technical aspects of the novel manufacturing environments, as well as the need to increase the performance and safety characteristics of the related cooperation, coordi-nation and control mechanisms is encouraging the development of new information management strategies to direct and man- age the automated systems involved in the manufacturing processes. The Computational Intelligent (CI) approaches seem to provide an effective support to the challenges posed by the next generation industrial systems. In particular, the Intelligent Agents (IAs) and the Multi-Agent Systems (MASs) paradigms seem to provide the best suitable solutions. Autonomy, flexibility and adaptability of the agent-based technology are the key points to manage both automated and information processes of any industrial system. The paper describes the main features of the IAs and MASs and how their technology can be adapted to support the current and next generation advanced industrial systems. Moreover, a study of how a MAS is utilized within a productive process is depicted.

Mobile Internet Mobile Agent System Dynamic Trust Model for Cloud Computing

In mobile cloud computing,trust is a very important parameter in mobile cloud computing security because data storage and data processing are performed remotely in the cloud.Aiming at the security and trust management of mobile agent system in mobile cloud computing environment,the Human Trust Mechanism(HTM)is used to study the subjective trust formation,trust propagation and trust evolution law,and the subjective trust dynamic management algorithm(MASTM)is proposed.Based on the interaction experience between the mobile agent and the execution host and the third-party recommendation information to collect the basic trust data,the public trust host selection algorithm is given.The isolated malicious host algorithm and the integrated trust degree calculation algorithm realize the function of selecting the trusted cluster and isolating the malicious host,so as to enhance the security interaction between the mobile agent and the host.Given algorithm simulation and verification were carried out to prove its feasibility and effectiveness.

Analysis of Deviations in an Agent and Ontology-Based Dialogue Management System

Algorithms of detecting dialogue deviations from a dialogue topic in an agent and ontology-based dialogue management system（AODMS） are proposed. In AODMS, agents and ontologies are introduced to represent domain knowledge. And general algorithms that model dialogue phenomena in different domains can be realized in that complex relationships between knowledge in different domains can be described by ontologies. An evaluation of the dialogue management system with deviation-judging algorithms on 736 utterances shows that the AODMS is able to talk about the given topic consistently and answer 86.6 % of the utterances, while only 72.1% of the utterances can be responded correctly without deviation-judging module.

Planning Management of Multiagent-based Distributed Open Computing Environment Model

his paper examines planning management problems in a Multiagentbased Distributed Open Computing Environment Model (MDOCEM). First the meaning of planning management in MDOCEM is introduced, and then a formal method to describe the associated task partition problems is presented, and a heuristic algorithm which gives an approximate optimum solution is given. Finally the task coordination and integration of execution results are discussed.

Research on Product Data Management Based on Multi-agent System

PDM (product data management) is one kind of techniques based on software and database, which integrates information and process related to products. But it is not enough to perform the complication of PDM in enterprises. Then the mechanism to harmonize all kinds of information and process is needed. The paper introduces a novel approach to implement the intelligent monitor of PDM based on MAS (multi agent system). It carries out the management of information and process by MC (monitor center). The paper first puts forward the architecture of the whole system, then defines the structure of MC and its interoperation mode.

Dual Layered Architecture for Multi Agent Based Islanding and Load Management for Microgrids

This paper proposes a novel dual layered multi agent system (MAS) based control system for the use in microgrid operations. In developing a smarter grid capable of withstanding disturbances and/or outages and providing quality service to the consumers, reliable microgrid control architecture is vital. The innovative microgrid control system proposed, makes the microgrid capable of isolating the local grid from effects of any upstream disturbances in the main utility grid by operating disconnected from the main utility via islanding, and it allows the most critical local loads to be supplied by any, available, local power source during such islanded operation. The proposed MAS control architecture is developed using the JADE platform and it is used to control a test network simulated in MATLAB. The results of these simulations show the capability of developing MAS based reliable control mechanism for islanding and load management of microgrids based on the proposed concept.

Rumi: An Intelligent Agent Enhancing Learning Management Systems Using Machine Learning Techniques

The dramatic improvement of information and communication technology (ICT) has made an evolution in learning management systems (LMS). The rapid growth in LMSs has caused users to demand more advanced, automated, and intelligent services. This paper discusses how Artificial Intelligence and Machine Learning techniques are adopted to fulfill users’ needs in a social learning management system named “CourseNetworking”. The paper explains how machine learning contributed to developing an intelligent agent called “Rumi” as a personal assistant in CourseNetworking platform to add personalization, gamification, and more dynamics to the system. This paper aims to introduce machine learning to traditional learning platforms and guide the developers working in LMS field to benefit from advanced technologies in learning platforms by offering customized services.

Agent Architecture and Collaboration for Supply Chain Management

Recently multi-agent system(MAS)is regarded as a powerful paradigm to develop and simulate complex system. Because supply chain(SC)is a complex network,it is hard to improve supply chain management(SCM)efficiency and automate SC operating process.Researchers have applied MAS in SCM viewing enterprises in SC as different functional agents collaborating to achieve common goal.In this paper a MAS-based supply chain management framework(MSF)is developed on which agents can collaborate to conduct business activities of enterprises and customers.Six kinds of functional agents are designed,namely, management agent,order receiving agent,order decomposing agent,resource agent,manufacturing-controlling agent and trans- portation agent.Through the agents’ collaboration the MSF can support SC dynamic forming and operating process.For partner selection the method to transmit customers’ order into demand matrix,and transmit enterprise’s resource capacity into resource matrix is described in detail.The MSF users decide which algorithm to be applied in matching the two matrixes,and algorithms are stored in model base.Finally the generic agent architecture is put formard.

基于多Agent的锂电池主动均衡策略控制仿真研究

【目的】针对锂电池的荷电状态均衡管理问题,提出一种基于多智能体的电池组荷电状态一致性均衡方案。【方法】首先,将多智能体控制策略引入电池管理的下垂控制中,实现了主动均衡电路拓扑下的自主均衡;其次,建立领航跟随者模型,利用参数已知的虚拟智能体使各个荷电状态不一致的电池的状态向其靠近,实现充放电模式下的荷电状态均衡;最后,对二阶多智能体荷电状态均衡控制策略进行仿真验证。【结果】实验结果表明,相比一阶均衡控制策略,自主均衡时间减少了43.02%,充电模式中均衡时间减少了16.13%,放电模式中均衡时间降低了32.90%。【结论】多智能体系统在电池的均衡管理中能够实现荷电状态的均衡,有效地降低了锂电池荷电状态到达一致性的收敛时间。