Using mobile agents for parallel processing

Silva, L.M.; Batista, V.; Martins, P.; Soares, Guilherme M.

doi:10.1109/doa.1999.793980

Cited by 20 publications

(3 citation statements)

References 5 publications

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“…The organization of multi-agent systems suitable for network and distributed systems management considered in [20,5,16] is based on shared plans used by agent teams. An intelligent stationary agent is responsible for decomposing a complex management task into n t elementary operations and ordering these operations.…”

Section: Distributed Knowledge Concept (Dkc)mentioning

confidence: 99%

“…Software maintenance is, by IEEE definition, the modification of a software product after delivery. The main purposes of software maintenance are to correct faults, improve performance and/or other attributes, adapt the product to a changing environment and/or improve product maintability [16]. Software management is also Fig.…”

Section: The Multi-agent Remote Maintenance Shellmentioning

confidence: 99%

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Verification of the Mobile Agent Network Simulator — A Tool for Simulating Multi-Agent Systems

Kušek

Jurasovic

Jezic

2008

Int. J. Soft. Eng. Knowl. Eng.

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This paper deals with the verification of a multi-agent system simulator. Agents in the simulator are based on the Mobile Agent Network (MAN) formal model. It describes a shared plan representing a process which allows team formation according to task complexity and the characteristics of the distributed environment where these tasks should be performed. In order to verify the simulation results, we compared them with performance characteristics of a real multi-agent system, called the Multi-Agent Remote Maintenance Shell (MA–RMS). MA–RMS is organized as a team-oriented knowledge based system responsible for distributed software management. The results are compared and analyzed for various testing scenarios which differ with respect to network bandwidth as well as task and network complexity.

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Section: Distributed Knowledge Concept (Dkc)mentioning

confidence: 99%

Section: The Multi-agent Remote Maintenance Shellmentioning

confidence: 99%

Verification of the Mobile Agent Network Simulator — A Tool for Simulating Multi-Agent Systems

Kušek

Jurasovic

Jezic

2008

Int. J. Soft. Eng. Knowl. Eng.

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“…So far, the Master-Slave model has been successfully applied to many parallelized applications in different application domains [5], [13]. Many researchers and application developers have dedicated themselves in exploring the methods of improving Master-Slave's performance in heterogeneous systems.…”

Section: Introductionmentioning

confidence: 99%

EOMT: A Master-Slave Task Scheduling Strategy for Grid Environment

Huang

Qian

Luan

et al. 2008

2008 10th IEEE International Conference on High Performance Computing and Communications

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Task scheduling has been a key issue to improve parallel execution in distributed systems. MasterSlave task scheduling, as a technique of mapping and scheduling loads to heterogeneous platforms, has aroused interests of many researchers. Although minimizing the Master-Slave application's makespan (the overall completion time) in general case is a NPcomplete problem, it is still meaningful in some special fields. In this paper, we aim at improving the performance of the Master-Slave pattern applications in the case with a large number of equal-sized and independent tasks and propose a new strategy EOMT (Equilibrium Overhead with Multi-cycle Tasking) for task scheduling in the grid environment. The EOMT strategy is designed for the grid environment with heterogeneous resources. The main concept of EOMT is to make the workload assigned to each slave node as even as possible to reduce application's makespan. A detailed analysis for Master-Slave task scheduling is given in this paper. Experiment results show that our strategy outperforms other traditional task scheduling strategies in different computation and network resource combinations in the grid environment.

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