A study of multi agent based resource search algorithms

Al-Asfoor, Muntasir; Fasli, Maria

doi:10.1109/ceec.2012.6375380

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…The Multi-Agent System (MAS) emerged as a way to represent scalable dynamic networks [12]. Usually, a system is an organized set of elements contributing to the completion of a given task.…”

Section: Multi-agent Systemmentioning

confidence: 99%

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A Multi-Agent System Framework for Cloud Resources Allocation

Jowda

Al-Asfoor

2021

J. Al-Qadisiyah Comp. Sci. Math.

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As cloud computing becomes increasingly attractive to entrepreneurs and resource consumers, researchers have recognized that an integrated infrastructure is needed to explore the potential of the cloud and enhance its efficiency and features. The primary people involved in cloud system operations are usually those who use the cloud, search the cloud provider's website, and make the purchase. This challenge is caused by the lack of a mechanism to provide negotiation interfaces through cloud providers to deal with them dynamically. In addition, one of the most common obstacles that consumers face is choosing resources based on their requirements at an affordable cost. Therefore, the goal of the proposed system is to simplify the process of allocating cloud computing resources to the consumer by choosing the most appropriate offer based on the cloud computing architecture and its integration with the Multi-Agent System (MAS) framework. Accordingly, the resulting system is more efficient and responsive, and negotiations can be conducted easily. In order to find mutually appropriate solutions in terms of service quality and price. The proposed system is applicable to all types of cloud deployments. It has been built using Java programming language and uses CloudSim and JADE as the two types of emulators used in the design and implementation of the system.

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Section: Multi-agent Systemmentioning

confidence: 99%

“…MAS may be utilized to build a far more effective, adaptive, and scalable cloud computing ecosystem architecture than is presently available [12].…”

Section: Multi-agent Systemmentioning

confidence: 99%

A Multi-Agent System Framework for Cloud Resources Allocation

Jowda

Al-Asfoor

2021

J. Al-Qadisiyah Comp. Sci. Math.

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“…Even with the conventional random search algorithm, the network's connectivity changes using first In First Out (FIFO) technique to avoid the aging problem we have discussed before. For further details and the Algorithms pseudo code see [1].…”

Section: Resource Searchmentioning

confidence: 99%

Heuristic Resource Search in a Self-Organised Distributed Multi Agent System

Al-Asfoor

Neville

Fasli

2012

Self-Organizing Systems

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The work presented in this paper has addressed the issue of resource sharing in dynamic heterogeneous Multi Agent Systems as a search problem. When performing a random search, this might lead to traverse the whole network and increase the failure ratio. This paper has introduced heuristic directed search based on the usage of an approximate matching mechanism to overcome this problem. Our implementation of search algorithms differs from traditional algorithms by using semantically guided technique for resource search as well as a dynamically re-organisable network of agents. The experimental results have shown that using directed search techniques is better than random search in terms of number of hops to find the match. Furthermore, network re-organisation has improved the system performance by directing the search based on resources information, especially when high accuracy is required.

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A Survey on Cloud Resources Allocation Using Multi-agent System

Jowda

Al-Asfoor

2021

Expert Clouds and Applications

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A study of multi agent based resource search algorithms

Cited by 3 publications

References 17 publications

A Multi-Agent System Framework for Cloud Resources Allocation

A Multi-Agent System Framework for Cloud Resources Allocation

Heuristic Resource Search in a Self-Organised Distributed Multi Agent System

A Survey on Cloud Resources Allocation Using Multi-agent System

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