Fault-tolerant Video Analysis Cloud Scheduling Mechanism
This paper proposes a fault tolerant optimal scheduling mechanism based on dependency analysis to make large-scale video surveillance systems more efficient and more reliable.We study large-scale video surveillance systems and associated theoretical issues,and then analyze the efficiency and reliability that application obtained in large-scale video surveillance systems under constrained circumstance through decision analysis and optimization theory,and finally validate and optimize the scheduling model through experimental analysis.The experiments indicate the proposed scheduling mechanism can effectively improve the global analysis job completion ratio and ensure the efficiency and reliability of the large-scale video surveillance network.
Fault tolerant Video analysis cloud Job scheduling Dependency-aware
Yaqin Luo Jie Dai Li Qi
Huazhong University of Science and Technology,Wuhan,China The Third Research Institute of Ministry of Public Security,Shanghai,China
国际会议
西安
英文
119-126
2013-09-14（万方平台首次上网日期，不代表论文的发表时间）