AFDI: A Virtualization-based Accelerated Fault Diagnosis Innovation for High Availability Computing
Fault diagnosis has attracted extensive attention for its importance in the exceedingly fault management framework for cloud virtualization, despite the fact that fault diagnosis becomes more difficult due to the increasing scalability and complexity in a heterogeneous environment for a virtualization technique. Most existing fault diagnoses methods are based on active probing techniques which can be used to detect the faults rapidly and precisely. However, most of those methods suffer from the limitation of traffic overhead and diagnosis of faults, which leads to a reduction in system performance. In this paper, we propose a new hybrid model named accelerated fault diagnosis invention (AFDI) to monitor various system metrics for VMs and physical server hosting, such as CPU, memory, and network usages based on the severity of fault levels and anomalies. The proposed method takes the advantages of the multi-valued decision diagram (MDD), A Naive Bayes Classifier (NBC) models and virtual sensors cloud to achieve high availability for cloud services.
Keywords: Virtualization, Bayesian Network, Availability, Virtual Sensors, multi-valued decision diagram, Accuracy
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ABOUT THE AUTHORS
Ameen Alkasem
Ameen Alkasem is currently a Ph.D. candidate at the school of computer science and technology, Harbin institute of technology, China. He received his M.S. degree from Dalian maritime university in 2010. His research interests include software engineering, fault tolerance computing and cloud computing.
Liu Hongwei
Dr. Liu Hongwei focuses on the research and teaching in the field of Computer System Architecture. He has hosted and taken part in over 10 research tasks supported by the government of China. Besides, Dr. Liu also hosted two projects supported by "863"Projects and issue over 90 papers on different journals. He is working on a widely range of subjects, including Parallel Computing and Architecture, Fault Tolerant Computer, Resource allocation and optimization in Cloud Computing System, Evaluation theory and technology in Cloud Computing System, Mobile Computing and Software Reliability Modeling
Zuo Decheng
Dr. Zuo Decheng focuses on the research and teaching in the field of Computer System Architecture, Fault tolerant Computing and Mobile Computing. He has hosted and taken part in over 10 research tasks in the field of fault tolerant computing and mobile computing. Besides, Dr. Zuo also hosted a project supported by "863" Program and issue over 70 papers on different journals. He is working on a widely range of subjects, including Parallel Computing and Architecture, Fault Tolerant Computer, Computer System Architecture Evaluation theory and technology.
Yao Zhao
received the master’s degree in computer science and engineering from HIT, China. He is currently working toward the PhD degree at Harbin Institute of Technology(HIT).His research interests include cloud computing, fault-tolerant computing.
Ameen Alkasem
Ameen Alkasem is currently a Ph.D. candidate at the school of computer science and technology, Harbin institute of technology, China. He received his M.S. degree from Dalian maritime university in 2010. His research interests include software engineering, fault tolerance computing and cloud computing.
Liu Hongwei
Dr. Liu Hongwei focuses on the research and teaching in the field of Computer System Architecture. He has hosted and taken part in over 10 research tasks supported by the government of China. Besides, Dr. Liu also hosted two projects supported by "863"Projects and issue over 90 papers on different journals. He is working on a widely range of subjects, including Parallel Computing and Architecture, Fault Tolerant Computer, Resource allocation and optimization in Cloud Computing System, Evaluation theory and technology in Cloud Computing System, Mobile Computing and Software Reliability Modeling
Zuo Decheng
Dr. Zuo Decheng focuses on the research and teaching in the field of Computer System Architecture, Fault tolerant Computing and Mobile Computing. He has hosted and taken part in over 10 research tasks in the field of fault tolerant computing and mobile computing. Besides, Dr. Zuo also hosted a project supported by "863" Program and issue over 70 papers on different journals. He is working on a widely range of subjects, including Parallel Computing and Architecture, Fault Tolerant Computer, Computer System Architecture Evaluation theory and technology.
Yao Zhao
received the master’s degree in computer science and engineering from HIT, China. He is currently working toward the PhD degree at Harbin Institute of Technology(HIT).His research interests include cloud computing, fault-tolerant computing.
