Resource Sharing and Load Balancing Based on Agent Mobility

Lecture Notes in Computer Science, 2003

Proceedings of the winter …, 2004

This paper introduces Multiagent Systems (MAS) storage resource allocation algorithms and methods on a Peer-to-Peer (P2P) system of computer storage resources. MAS Complex Adaptive Systems (CAS) based on squirrels behaviors are proposed and evaluated to produce ...

Engineering Applications of Artificial Intelligence, 2011

In order for multiagent systems to be included in real domains (media and Internet, logistics, e-commerce, and health care), infrastructures and tools for multiagent systems should provide efficiency, scalability, security, management, monitoring, and other features related to building real applications. Thus, infrastructures and tools that support multiagent systems are needed, especially those that promote the adoption of agent-based systems by designers and programmers in both academia and industry. This special issue is a selection of contributions whose preliminary versions were presented at the ITMAS Nowadays, technological evolution in the areas of Computer Technology and Communications (Internet, WWW, e-commerce, wireless connectivity, virtual worlds, etc.) has made Information Technology research and development focus on solving challenges in order to develop distributed applications. Distributed systems are increasingly viewed as collections of service-provider and service-consumer components that are interlinked by dynamically defined workflows.

Studies in Computational Intelligence, 2010

The combination of peer-to-peer networking and multi-agent systems seems be a perfect solution for the realization of applications that broaden on the Internet. In fact, while peer-to-peer networking infrastructures and protocols provide the suitable discovery and communication services necessary for developing effective and reliable applications, multi-agent systems allow to realize autonomous, social, reactive and proactive peers that make the development of intelligent and flexible application possible. This paper presents how JADE, one of the most known software framework for the development of multi-agent systems, has been extended to take advantage of the JXTA networking infrastructure and protocols, and describes a system, called RAIS, that has been realized thanks to such extended version of the JADE software framework and that provides a set of advanced services for content sharing and retrieval.

Wireless grids introduce additional challenges to the challenges already existing in resources allocation in the wired grid environment. Economic approaches and Multiagent Systems (MASs) are brought into one framework to solve problems of resource allocation and efficient QoS provisioning. Wireless grids are considered as complex systems with economies where multiple applications (consumers) compete for resources and services from network providers (suppliers).

Turkish Journal of Electrical Engineering and Computer Sciences, 2012

In this paper, we present a load-sharing approach based on the refactoring of agents. According to our approach, the role(s) that makes an agent overloaded is identified and transferred to less loaded agents. The excess workload of this heavily loaded agent is then transferred to the new agent. This approach defines a new agent, called the “monitor agent,” which monitors the workload of agents in the organization and decides about the refactoring of the agents. The monitor agent uses the platform ontology, which explicitly describes the components of the agent organization, including agents and their roles, plans, and workloads. This ontology is updated by the monitor agent in every monitor cycle.

Journal of Computer Science, 2006

In order to disperse the load on a Web server, generally the server cluster is configured to distribute access requests, or mirror servers are distributed geographically on different networks. Use of the Internet and the WorldWide Web (WWW) has become widespread in recent years and mobile agent technology has proliferated at an equally rapid rate to evenly distribute the requests to web servers through load balancing. There are various loads balancing policies came into picture. Primitive one is Message Passing Interface (MPI). Its wide availability and portability make it an attractive choice, however the communication requirements are sometimes inconventior and inefficient when implementing the primitives provided by MPI. Mobile agent (MA) based approach have the merits of high flexibility, efficiency, low network traffic, less communication latency as well as highly asynchronous. In this study we present dynamic load balancing using mobile agent technology in which when a node is overloaded, task migrates to less utilized nodes so as to share the workload. However, the decision of which nodes receive migrating task is made in real-time by design and implementation of a framework called Platform for Load balancing (PLB). It is implemented on PMADE (A Platform for Mobile Agent Distribution and Execution). PLB integrated web servers can dispatch MAs to retrieve load information and accomplish load redistribution on all servers. The performance evaluation demonstrates that the PLB framework provides a foundation to develop efficient load balancing schemes on wide range of web server systems from cluster to open network and the results of a comparison of PLB, with some existing ones, is also reported.

2006

A very important issue in distributed systems is the management of load among system nodes. Load balancing enables a better use of the system resource capabilities and a better performance by allocating nodes that are more suitable for the execution of some tasks. This work proposes a multi-agent load balancing architecture for distributed object applications denominated MALBA which uses artificial neural networks and a set of policies to support the process of migrating and replicating the application objects. MALBA architecture outlines a decentralized balancing process which balances the load among nodes which execute a distributed object application.

Due to the increasing interest to achieve high performance computing using cluster, which consists of heterogeneous workstations and/or personal computers (PCs) connected via a fast network. Usually programming such systems is done by applying message-passing libraries like MPI. Due to the lack of a load balancing facility, it is quite possible to overload machines on the network with tasks, and lead parallel applications to frustrated results. In this paper, the mobile agent based approach to improve the load balancing of parallel tasks in heterogeneous computing environment has been proposed. Its benefit has been demonstrated with the experimental results.

2012

Load balancing is a computer networking methodology which allows the distribution of the workl oad across multiple computers or computing devices, suc h as central processing units, disk drives, or other resources, to reach optimal resource utilization, reduce response time, maximiz e throughput and circumvent overload. The Use of multiple comput ers with load balancing, instead of a single computer, may i ncrease reliability through redundancy. Our contribution outlines the adaptation of the Sha dow approach used to control mobiles agents for develop ing a load balancing management algorithm in distributed syste ms. This approach does not only distribute the loads on the nodes and collect its running result, but it also manages the tasks execution places during all the execution time. Thereby, we ge t a selforganized load balancing infrastructure. Keywords— distributed computing, load balancing, mobiles agents.