A multi-agent system for intelligent network load control using a market-based approach

Prouskas, Konstantinos; Patel, A.; Pitt, Jeremy; Barria, Javier A.

doi:10.1109/icmas.2000.858458

Cited by 9 publications

(7 citation statements)

References 13 publications

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“…Therefore, when SCP becomes overload, we must use some overload control methods to protect SCP and prevent its performance from decreasing significantly. To resolve the overload control problem of SCP in the traditional wired intelligent network, some researchers have designed some overload control algorithms or mechanisms [4][5][7][8][9][10][11][12][13][14]. Pham.…”

Section: Introductionmentioning

confidence: 99%

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Overload Control for the Wireless Intelligent Network

Deng¹,

Tan²

2014

JNW

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Wireless intelligent network (WIN) is a network in the mobile environment that supports the use of intelligent network capabilities which is mainly made up of a service control point (SCP) and some mobile switching centers (MSCs). When there are too more incoming services to SCP and MSCs in the WIN simultaneously than they can handle will cause the SCP or MSCs overload and degrades the performance of the WIN. To resolve this problem, we introduce a queue model, design an overload control model and put forward a two-level overload control algorithm for the WIN. The results of our analysis and experiments show that our overload control algorithm is effective.

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Section: Introductionmentioning

confidence: 99%

“…K. etc. presented a multiagent system, which makes use of a market-based approach to perform real-time control of IN traffic, but the agents in their multi-agent system are hard to be implemented [9]. Polykalas.…”

Section: Introductionmentioning

confidence: 99%

Overload Control for the Wireless Intelligent Network

Deng¹,

Tan²

2014

JNW

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“…The optimal problem of control force from the actuator in the structural control area is then transformed to that of allocation resources in the market. Since the MBC concept was proposed by Clearwater [4], it had been developed and applied in many fields, such as the telecommunication, mechanism, and mission plan [5][6][7][8][9]. Lynch and Law [10] firstly applied the MBC method in civil engineering and subsequently presented a market-based energy control method.…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Control with Market-Based Control Strategy to Structures

Li²,

Liu³

2013

Mathematical Problems in Engineering

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The market-based control as a control strategy is developed based on an analogy between the control force-energy source in the structural area and the supply demand in the free market. The optimal problem of control force from an actuator is transformed to that of the allocation resource in the market. Since the supply-demand relation model and iteration procedure for the optimal price solution are necessary and relatively hard to understand and perform for civil engineers, the fuzzy logical method is proposed in the framework of the market-based control to acquire an equivalent system corresponding to the market-based control method. An equivalent fuzzy logical rule is established through analyzing a single-degree-of-freedom system with the controller using the MBC strategy under earthquakes. The results show that the fuzzy logical method is able to also reduce the displacement and acceleration responses effectively similar to the MBC method, and the consumed computational time for the fuzzy logical method is obviously saved.

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“…Agent Architecture models for IN management have proved to be rich ones for investigating issues directly related to resource allocation and load control in the context of current telecommunications systems ( [13], [19], [20], [23]). Rather than concerning ourselves with issues relating to overall performance of the network, we will concentrate on the effects of trading decisions based on "objective Trust Based" (oTB) principles.…”

Section: Fig 1 Intelligent Network Scenariomentioning

confidence: 99%

Experiments in Building Experiential Trust in a Society of Objective-Trust Based Agents

Witkowski

Artikis

Pitt

2001

Trust in Cyber-Societies

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Abstract. In this paper we develop a notion of "objective trust" for Software Agents, that is trust of, or between, Agents based on actual experiences between those Agents. Experiential objective trust allows Agents to make decisions about how to select other Agents when a choice has to be made. We define a mechanism for such an "objective Trust-Based Agent" (oTB-Agent), and present experimental results in a simulated trading environment based on an Intelligent Networks (IN) scenario. The trust one Agent places in another is dynamic, updated on the basis of each experience. We use this to investigate three questions related to trust in Multi-Agent Systems (MAS), first how trust affects the formation of trading partnerships, second, whether trust developed over a period can equate to "loyalty" and third whether a less than scrupulous Agent can exploit the individual nature of trust to its advantage.

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A multi-agent system for intelligent network load control using a market-based approach

Cited by 9 publications

References 13 publications

Overload Control for the Wireless Intelligent Network

Overload Control for the Wireless Intelligent Network

Application of Fuzzy Control with Market-Based Control Strategy to Structures

Experiments in Building Experiential Trust in a Society of Objective-Trust Based Agents

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