A feedback control approach for preventing system resource exhaustion caused by software aging
暂无分享,去创建一个
[1] Yang Li,et al. Cloud service reliability modelling and optimal task scheduling , 2017, IET Commun..
[2] P. Santhi Thilagam,et al. Applications nature aware virtual machine provisioning in cloud , 2018, Int. J. Ad Hoc Ubiquitous Comput..
[3] Kai-Yuan Cai,et al. A Nonlinear Approach to Modeling of Software Aging in a Web Server , 2008, 2008 15th Asia-Pacific Software Engineering Conference.
[4] Tarek F. Abdelzaher,et al. Differentiated caching services; a control-theoretical approach , 2001, Proceedings 21st International Conference on Distributed Computing Systems.
[5] Kenichi Kourai,et al. Zero-copy Migration for Lightweight Software Rejuvenation of Virtualized Systems , 2015, APSys.
[6] T. Saadawi,et al. Media-Aware Caching Mechanism in DiffServ Networks , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.
[7] Kishor S. Trivedi,et al. A comparative experimental study of software rejuvenation overhead , 2013, Perform. Evaluation.
[8] Wei Xie,et al. Analysis of a two-level software rejuvenation policy , 2005, Reliab. Eng. Syst. Saf..
[9] K. Ramani,et al. Energy aware multi objective genetic algorithm for task scheduling in cloud computing , 2018, Int. J. Internet Protoc. Technol..
[10] Kishor S. Trivedi,et al. Analysis of Software Aging in a Web Server , 2006, IEEE Transactions on Reliability.
[11] Shigeru Chiba,et al. Fast Software Rejuvenation of Virtual Machine Monitors , 2011, IEEE Transactions on Dependable and Secure Computing.
[12] Laurent Massoulié,et al. Service differentiation for delay-sensitive applications: an optimisation-based approach , 2002, Perform. Evaluation.
[13] Stefano Russo. The Dual Nature of Software Aging: Twenty Years of Software Aging Research , 2014, 2014 IEEE International Symposium on Software Reliability Engineering Workshops.
[14] Kishor S. Trivedi,et al. A comprehensive model for software rejuvenation , 2005, IEEE Transactions on Dependable and Secure Computing.
[15] David Mosberger,et al. httperf—a tool for measuring web server performance , 1998, PERV.
[16] Xiaoyun Zhu,et al. PARTIC: Power-Aware Response Time Control for Virtualized Web Servers , 2011, IEEE Transactions on Parallel and Distributed Systems.
[17] Ping Guo,et al. An experimental case study on the relationship between workload and resource consumption in a commercial web server , 2017, J. Comput. Sci..
[18] Ming Liu,et al. A New Method for Abnormal Behavior Propagation in Networked Software , 2018 .
[19] Kishor S. Trivedi,et al. Ensuring the Performance of Apache HTTP Server Affected by Aging , 2014, IEEE Transactions on Dependable and Secure Computing.
[20] Xinhong Hei,et al. Modeling and optimizing periodically inspected software rejuvenation policy based on geometric sequences , 2015, Reliab. Eng. Syst. Saf..
[21] Jianwen Xiang,et al. Lifetime Extension of Software Execution Subject to Aging , 2017, IEEE Transactions on Reliability.
[22] Kai-Yuan Cai,et al. Optimization of Two-Granularity Software Rejuvenation Policy Based on the Markov Regenerative Process , 2016, IEEE Transactions on Reliability.
[23] Ashish Sureka,et al. Feature Selection Techniques to Counter Class Imbalance Problem for Aging Related Bug Prediction: Aging Related Bug Prediction , 2018, ISEC.
[24] Karl Johan Åström,et al. Computer-Controlled Systems: Theory and Design , 1984 .