About 16 item dissertation in line with Software Aging query results,the following is 1 to 50(Search took 0.07 seconds)
- The recession prediction software system design and Implementation,ZhangHaiHua/Nanjing University of Technology and Engineering,0/4
- User Access Intention-oriented Research:Prediction of Web System Aging Trend,JuYing/Northeastern University,0/9
- Measurement-based Prediction on Software Aging,YunFei/Harbin Engineering University,0/26
- Research on Intelligent Fine-grained Software Rejuvenation Policy and Related Techniques,WangZhan/Nanjing University of Technology and Engineering,0/151
- Researches on Self-adaptable Architecture of Computing System,GuoChengZuo/Nanjing University of Technology and Engineering,0/269
- Research on Key Technologies of Software Rejuvenation,XuJian/Nanjing University of Technology and Engineering,1/212
- Research on Fine-grained Software Rejuvenation Policy and Related Techniques,YouJing/Nanjing University of Technology and Engineering,3/243
- Genetic algorithms and neural network software rejuvenation technology,JiangWei/Nanjing University of Technology and Engineering,2/170
- Research the Program of the Rejuvenation about Phenomenon of Software Aging and Use on the UNIX System,WangQing/Nanjing University of Technology and Engineering,0/46
- Multifractal software performance recession forecast method based studies,ZhouYanYan/Nanjing University of Technology and Engineering,1/55
- Software recession prediction algorithm,HuZuo/Nanjing University of Technology and Engineering,1/70
- Software recovery strategy and its applications on UNIX,YinZhiYue/Nanjing University of Technology and Engineering,0/69
- Self-recovery interval calculated based MRSPN model,XuPing/Nanjing University of Technology and Engineering,1/48
- Research on Software Self-recovery Technology for Real-time Embedded System,FuYu/Harbin Engineering University,0/8
- A Software Aging Prediction Based on Ant Colony Neural Networks,ChenXiaoYong/Harbin Engineering University,0/67
- Load Balancing Strategy Based on Software Aging,LiHaoRan/Northeastern University,0/22
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