A new massively parallel and distributed virtual machine model using mobile agents

Youssfi, Mohamed; Bouattane, Omar; Bakkoury, Jamila; Bensalah, Mohammed Ouadi

doi:10.1109/icmcs.2014.6911306

Cited by 2 publications

(1 citation statement)

References 20 publications

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“…Moreover, the systems need an acceleration of computing and are adopting more and more massively distributed machines such as GPU architecture (Graphic Processing Units) [2] to perform their treatments more efficiently. Even so, the use of massively distributed machine unitary is not enough efficient to process a very large amount of data and perform the needed processing quickly, so the use of massively distributed systems [3] has become very common, with the deployment of several heterogeneous systems to allow faster data processing and more efficient data storage and analysis, it is today the real solution for High Performance Computing [4].…”

Section: Introductionmentioning

confidence: 99%

Scalable and Reactive Multi Micro-Agents System Middleware for Massively Distributed Systems

Ezzrhari¹,

Noureddine²,

Youssfi³

et al. 2021

IJACSA

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IT transformation has revolutionized the business landscape and changed most of organizations business model into digital and innovation driven firms. To fully take advantage of this digitalization and the exponential growth of data, organizations need to rely on resilient, scalable, extremely connected, highly available & very performant systems. To meet this need, this paper presents a model of middleware for multi micro-agents system based on reactive programming and designed for massively distributed systems and High-Performance Computing, especially to face big data challenges. This middleware is based on multi-agents systems (MAS) which are known as a reliable solution for High Performance Computing. This proposal framework is built on abstraction and modularity principles through a multi-layered architecture. The design choices aim to ensure cooperation between heterogeneous distributed systems by decoupling the communication model and the cognitive pattern of micro agents. To ensure high scalability and to overcome networks latency, the proposal architecture uses distribution model of data & computing, that allows an adaptation of the grid size as needed. The resilience problem is addressed by adopting the same mechanism as Hazelcast middleware, thanks to his peer-to-peer architecture with no single point of failure.

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Section: Introductionmentioning

confidence: 99%

Scalable and Reactive Multi Micro-Agents System Middleware for Massively Distributed Systems

Ezzrhari¹,

Noureddine²,

Youssfi³

et al. 2021

IJACSA

View full text Add to dashboard Cite

show abstract

Implementation of Agent-Based Metacomputersystems and Applications

Karamysheva

Svishchev

Popov

et al. 2022

Proceedings of the SWSU

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Purpose of research. Creation of a methodology for designing a prototype of a metacomputer distributed computing system, taking into account the current stage of the evolution of hardware and cloud-network software to provide users with the means to create applications with inter-program parallelism and the ability of components to work together.Methods. Logical models of artificial intelligence, semantic networks and conceptual graphs, agent-based technology, virtualization of network resources. The method of conducting a full-scale experiment was that when the application was launched for execution in a virtual agent-based metacomputer, a network infrastructure was used with remote access to the Fast Ethernet laboratory network via the Internet, and then time characteristics were measured.Results. A technique for designing cloud-network metacomputer systems and applications is proposed, and prototype middleware software based on multi-agent technology is created. The goal of the study has been achieved, since the developed agent-based environment allows the implementation of universal programming control structures - transition by one or more conditions, cycle, sequence, parallelization, for which executable conceptual specifications have been introduced.Conclusion. An approach to the implementation of a distributed metacomputer application in a computer network environment based on conceptual graphs describing the exchange of messages and data processing by software agents is proposed. The performance of the application under conditions of extraneous load on the network was demonstrated.

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A new massively parallel and distributed virtual machine model using mobile agents

Cited by 2 publications

References 20 publications

Scalable and Reactive Multi Micro-Agents System Middleware for Massively Distributed Systems

Scalable and Reactive Multi Micro-Agents System Middleware for Massively Distributed Systems

Implementation of Agent-Based Metacomputersystems and Applications

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