Adaptive scheduling for real-time network traffic using agent-based simulation

Moutaz Saleh, Zulaiha Ali Othman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Since several years, communication networks have known a surprising growth. The increased number of users, the consequent increase of traffic, and the request for new services involve the development of new technologies and the deployment of high throughput networks. Networking technology has correspondingly grown to meet the diverse needs of applications and network administration. In response to the complexity of communication networks, simulation was and remains the only way to evaluate network performance. Unfortunately, traditional simulation methods are not adapted to all networks such as networks with quality of service and networks with dynamic aspect. To overcome this limitation, a new method to simulate dynamic networks based on multi-agents simulation and behavioral approach had been proposed. In this paper, we present an adaptive approach to schedule real-time network traffic using the agent based simulation concept. The paper introduces an adaptive real-time agent scheduler (ARTAS) architecture and agent model as basis for scheduling real-time packet networks.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages248-261
Number of pages14
Volume4707 LNCS
EditionPART 3
Publication statusPublished - 2007
EventInternational Conference on Computational Science and its Applications, ICCSA 2007 - Kuala Lumpur
Duration: 26 Aug 200729 Aug 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume4707 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

OtherInternational Conference on Computational Science and its Applications, ICCSA 2007
CityKuala Lumpur
Period26/8/0729/8/07

Fingerprint

Adaptive Scheduling
Traffic Simulation
Agent-based Simulation
Network Traffic
Telecommunication networks
Scheduling
Real-time
Packet networks
Network performance
Technology
Quality of service
Throughput
Communication Networks
Appointments and Schedules
Behavioral Approach
Multi-agent Simulation
Network Simulation
Dynamic Networks
Network Performance
Growth

Keywords

  • Agents
  • Real-time network
  • Scheduling
  • Simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Saleh, M., & Ali Othman, Z. (2007). Adaptive scheduling for real-time network traffic using agent-based simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 3 ed., Vol. 4707 LNCS, pp. 248-261). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4707 LNCS, No. PART 3).

Adaptive scheduling for real-time network traffic using agent-based simulation. / Saleh, Moutaz; Ali Othman, Zulaiha.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4707 LNCS PART 3. ed. 2007. p. 248-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4707 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saleh, M & Ali Othman, Z 2007, Adaptive scheduling for real-time network traffic using agent-based simulation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 edn, vol. 4707 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 4707 LNCS, pp. 248-261, International Conference on Computational Science and its Applications, ICCSA 2007, Kuala Lumpur, 26/8/07.
Saleh M, Ali Othman Z. Adaptive scheduling for real-time network traffic using agent-based simulation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 3 ed. Vol. 4707 LNCS. 2007. p. 248-261. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
Saleh, Moutaz ; Ali Othman, Zulaiha. / Adaptive scheduling for real-time network traffic using agent-based simulation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 4707 LNCS PART 3. ed. 2007. pp. 248-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).
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