A Mobile Agent-Based Approach to Web-Based Distributed Computing

2002 ◽  
pp. 61-67 ◽  
Author(s):  
Qusay H. Mahmoud
Keyword(s):  
Distributed Computing ◽  
Mobile Agent ◽  
Web Based ◽  
Agent Based

Mobile Agent-Based Collaborative Computing Framework for Handling Constraint Resources

2012 ◽  
pp. 113-134
Author(s):  
Anil Kakarla ◽  
Sanjeev Agarwal ◽  
Sanjay Kumar Madria
Keyword(s):  
Information Processing ◽  
Distributed Computing ◽  
Mobile Agent ◽  
Computational Cost ◽  
Computation Time ◽  
Distributed Network ◽  
Collaborative Computing ◽  
Agent Based ◽  
Computing Framework ◽  
Viable System

Information processing and collaborative computing using agents over a distributed network of heterogeneous platforms are important for many defense and civil applications. In this chapter, a mobile agent based collaborative and distributed computing framework for network centric information processing is presented using a military application. In this environment, the challenge is to continue processing efficiently while satisfying multiple constraints like computational cost, communication bandwidth, and energy in a distributed network. The authors use mobile agent technology for distributed computing to speed up data processing using the available systems resources in the network. The proposed framework provides a mechanism to bridge the gap between computation resources and dispersed data sources under variable bandwidth constraints. For every computation task raised in the network, a viable system that has resources and data to compute the task is identified and sent to the viable system for completion. Experimental evaluation under the real platform is reported. It shows that in spite of an increase of the communication load in comparison with other solutions the proposed framework leads to a decrease of the computation time.

Mobile Agent-Based Discovery System

2007 ◽  
pp. 436-441 ◽  
Author(s):  
R. Raje ◽  
J. Gandhamaneni ◽  
A. Olson ◽  
B. Bryant
Keyword(s):  
Distributed Computing ◽  
Mobile Agent ◽  
Research Issue ◽  
Distributed Computing Systems ◽  
Computing Systems ◽  
Research Issues ◽  
Distributed Software ◽  
Agent Based ◽  
Research Challenges ◽  
Discovery Service

For reasons of economy and scalability, many of the current distributed computing systems (DCSs) are realized as an integration of prefabricated and deployed components offering specific services. A critical task that the assembler of such a system needs to address is to locate and select appropriate components scattered over a network. This requires solving many research challenges. These include: (a) deployment of components and their specifications, (b) efficient searching for and gathering of appropriate specifications, (c) representation of queries, and (d) semantics of matching between queries and specifications. UniFrame (Raje, Auguston, Bryant, Olson, & Burt, 2001) is a framework that allows the seamless discovery and integration of such distributed software components. It addresses three key research issues: (1) architecture-based interoperability, (2) distributed discovery of resources, and (3) quality validation. This article presents a mobile-agent-based discovery service, which is one of the alternatives developed under research issue (2).

Distributed Web GIS

2007 ◽  
pp. 213-219
Author(s):  
J. Guan ◽  
S. Zhou ◽  
J. Zhou ◽  
F. Zhu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Distributed Computing ◽  
Mobile Agent ◽  
Geographic Information ◽  
Mobile Internet ◽  
Web Gis ◽  
Agent Based ◽  
Gis Applications ◽  
System Project

This article presents the MADGIS (Mobile Agent-based Distributed Geographic Information System) project, which aims at integrating distributed Web GIS applications by using mobile agent technologies to overcome the limitations of traditional distributed computing paradigms in a (mobile) Internet context.

The Study of Agent-Based Distributed Computing

2011 ◽  
Vol 460-461 ◽  
pp. 213-218
Author(s):  
Jun Huang ◽  
Liang Guo ◽  
Le Wang ◽  
Zhao Qui
Keyword(s):  
Distributed Computing ◽  
Mobile Agent ◽  
Computational Efficiency ◽  
Distributed Computation ◽  
Multi Agent System ◽  
Agent Based ◽  
Computing Model ◽  
Multi Agent ◽  
Developing Platform

. On the basis of a case study of agent-based distributed computation, we develop a more integrative perspective on agent-based system theoretically and experientially.We construct a multi-agent system which exchange KQML message by a mobile agent based on IBM Aglet mobile developing platform and IBM JKQML.Compared with existing distributed computing model, our multi-agent example improves the computational efficiency.

An Integrated Network Management Framework Using CORBA, Mobile Agents and Web-Based Technologies

2011 ◽  
pp. 298-309
Author(s):  
Dongming Cui ◽  
Jairo A. Gutierrez
Keyword(s):  
Network Management ◽  
Mobile Agent ◽  
Network Management System ◽  
Integrated Network ◽  
Web Based ◽  
Management Framework ◽  
Agent Based ◽  
Client Server ◽  
Management Architecture ◽  
Open Management

Today’s network management is still dominated by the platform-centered paradigm based on client/server technologies. This centralized approach has drawbacks in scalability, reliability, efficiency and flexibility, and is unsuitable for large and heterogenerous networks. Modern networks require an open management architecture, which can provide standard interfaces for information sharing among management systems, has extensibility for handling change quickly, and has means to manage large networks. Emerging technologies such as Web-, CORBA-, and Mobile Agent-based technologies represent an excellent opportunity to solve these problems. In this chapter a new Web-based network management framework is proposed, which combines the strengths of these novel ways of managing networks and the results of a prototype implementation are discussed. Our preliminary results indicate that the integration of Web-, CORBA-, and Mobile Agent-based technologies within an Integrated Network Management System framework can dramatically improve the performance of the networked environment.

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