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An Optimized Memory Management Algorithm for Realtime Simulation on Linux Operation System

Published: 11 September 2017 Publication History

Abstract

As an important branch of simulation technology, realtime hardware-in-the-loop simulation has been widely used in industrial design and equipment testing. The current real-time simulation software is mostly based on proprietary systems or realtime transformation of the Windows system and cannot run in the general Linux system with a large number of users. At the same time, the existing memory management algorithm has low utilization rate and cannot adapt to the needs for a long time simulation. In view of this problem, this paper combines the design method of the existing real-time software to design the real-time simulation framework in Linux environment, and improves the memory management method to meet the needs of largescale and long-term simulation. The experimental results

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SIMUTOOLS '17: Proceedings of the 10th EAI International Conference on Simulation Tools and Techniques
September 2017
152 pages
ISBN:9781450363884
DOI:10.1145/3173519
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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  • EAI: The European Alliance for Innovation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 September 2017

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Author Tags

  1. Inter process communication
  2. Kylin operating system
  3. Memory optimized algorithm
  4. Real-time simulation

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  • Research-article
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  • Refereed limited

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SIMUTOOLS '17

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Overall Acceptance Rate 20 of 73 submissions, 27%

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