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Parallel Component Composition and Performance Optimization Based on Agent Technology

Published: 20 December 2021 Publication History

Abstract

In order to better assemble parallel component programs and optimize performance, different software agents are designed and used. The component connection agent is responsible for the component interface glue and data redistribution. The component execution agent and resource management agent cooperate with each other to deploy the components on the computing nodes that meet the resource requirements. Four different component adaptive strategies are defined. Different component adaptive agent, component execution agent and resource management agent cooperate with each other to complete the adaptive process of component and improve the performance of component. Resource management agent, load detection agent and component execution agent cooperate with each other to complete the load balancing work and improve the performance and throughput of the whole computing platform. Experiments on heterogeneous computer clusters demonstrate the effectiveness of the proposed parallel component assembly and performance optimization method based on agent technology. Compared with the traditional performance optimization methods, the method based on agent technology is flexible and has performance advantages.

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CSSE '21: Proceedings of the 4th International Conference on Computer Science and Software Engineering
October 2021
366 pages
ISBN:9781450390675
DOI:10.1145/3494885
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 20 December 2021

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Author Tags

  1. adaptive methods
  2. agent technology
  3. load balance
  4. parallel component

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  • Research-article
  • Research
  • Refereed limited

Funding Sources

  • Key Science and Technology Program of Henan Province, China
  • Research and Cultivation Fund Project of Anyang Normal University, China
  • Science and Technology Plan Project of Anyang City
  • Research and Practice of Higher Education Teaching Reform in Henan Province, China
  • Key R&D and Promotion Project in Henan Province, China

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CSSE 2021

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Overall Acceptance Rate 33 of 74 submissions, 45%

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