Using IP multicast to improve communication in large scale mobile agent systems

Hartroth, Jörn; Hofmann, Markus

doi:10.1109/hicss.1998.649170

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…This method sound good, but it will incur additional overheads such as maintaining a multicast group and frequent join/leave operations. It can be a different mobile agent multicast communication backbone approach like [18], but not a per-agent based mobility management method proposed in this paper.…”

Section: Learning the Agent Activitiesmentioning

confidence: 97%

An optimal location update and searching algorithm for tracking mobile agent

Li¹,

Lam

2002

Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems Part 2 - AAMAS '02

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Mobility management is necessary especially in case of highly dynamic and large scale of mobile agents working together. The lack of efficient location update schemes of mobile agent system made us propose a basic dU −SSM scheme for tracking mobile agent. With it, a mobile agent Updates it location once every d movements and is then searched by Sequential Searching Method. In this paper, we analyze the agent's mobility features and formulate its cost functions based on a single agent's itinerary. We solve the optimal d functions by minimizing the total cost of location updating and searching. By applying the proposed algorithm we obtain very good numerical results. The algorithm is very simple, straightforward and flexible. A sample Aglets code of embedding the algorithm is given. Further on, some improvements on the basic model are discussed.

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Section: Learning the Agent Activitiesmentioning

confidence: 97%

An optimal location update and searching algorithm for tracking mobile agent

Li¹,

Lam

2002

Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems Part 2 - AAMAS '02

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“…In Hartroth and Hofmann (1998) a group communication mechanism for mobile agents based on IP multicast has been proposed. The method captures the inherent agility of mobile agents in a scheme of dynamically adapted multicast groups.…”

Section: Related Workmentioning

confidence: 99%

A scalable group communication mechanism for mobile agents

Jafarpour

Yazdani

Bazzazzadeh

2007

Journal of Network and Computer Applications

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“…The approach of AWMG is to use IP multicast [6,8,9] as the transmission mechanism (for reasons of network traffic efficiency), the location service and also the group membership management mechanism. For this reason we now briefly consider the operation of multicast networking.…”

Section: Solution-ip Multicast Message Among Mobile Agent Groupsmentioning

confidence: 99%

Mobile Agents for Pervasive Computing

Shah

Inayatullah

Arbab

et al. 2007

2007 International Conference on Emerging Technologies

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Pervasive computing is an emerging field where a user will interact with a large number of computing devices simultaneously providing access to the information and services anytime, anywhere. To realize that Mark Weiser's vision of disappearing technology and ubiquitous/pervasive computing a lot of research efforts are needed. A QoS based middleware is needed to integrate the existing technologies to develop pervasive computing applications. The use of multiple agents (in patterns such as master-slave and embassy) are not suitable for such applications, since these patterns are based on point-to-point communication and the coordination among the agents about the context information will create a lot of network traffic resulting in wastage of bandwidth that is a precious resource for mobile computing applications. An architecture to simplify this task (known as AWMGagentspace with multicast groups), based on IP multicast messaging, has been designed and implemented. It has been evaluated by employing it in the development of middleware (SeSaS -Sensor System with agentSpace) to support a real-time sensor environment intended for use in contextaware computing.

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Using IP multicast to improve communication in large scale mobile agent systems

Cited by 7 publications

References 11 publications

An optimal location update and searching algorithm for tracking mobile agent

An optimal location update and searching algorithm for tracking mobile agent

A scalable group communication mechanism for mobile agents

Mobile Agents for Pervasive Computing

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