원문정보
초록
영어
With the rapid development of information technology, the data scale expands unceasingly, produce a large amount of image data, a massive image data processing has also is an important technology. Traditional processing techniques, in dealing with such a large scale of image data, have been unable to meet the requirements. One of the important reason is that whether the c ++ or Java, there is memory leak problem, when the data is the relatively small size, these problems may be insignificant, but when the data is very large, will highlight these shortcomings, will lead to serious program crashes, the system outage, ultimately unable to achieve expected goal. In considering the data processing efficiency, stability, is proposed in this paper, based on multithreading, a dynamic self-healing capacity of mass image data processing technology, compared with the traditional technology can improve the efficiency and improve the stability. Finally, after the experimental results verify that the method is effective.
목차
1. Introduction
2. The Processing of Memory Leaks
2.1. Using Virtualization Platform Monitoring Memory Leaks
2.2. Using the Page Replacement Monitoring, Deal with Memory Leaks
2.3. Using Static Test Method of Monitoring the Memory Leaks
3. Based on Multi-Threading Memory Management
3.1. Multithreading Technology
3.2. Memory Management Based on Multi-Threading Technology
3.3. The Memory Scheduling Based on Multi-Thread Technology
4. Software Self-Healing Mechanism
4.1. Computational Reflection Technique
4.2. Computer Bionic Technology
4.3. Self-Healing by Repairing Software Accuracy
4.4. Self-Healing by Data Structure Repairing
4.5. Self-Healing Through Dynamic Reconfiguration
5. Based on Multithreading, Dynamic Self-Healing Mechanism of Memory Management
6. Based on Multi-Threading Memory Management
6.1. Traditional Single Thread without Self-Healing Capability of Image Processing and Multi-Thread Self-Healing Ability of Image Processing
6.2. Image Processing and Multi Thread with Self-Healing Ability of Multi Thread and Non Self-Healing Ability
7. Summary
Acknowledgements
References