自动化技术、计算机技术 |
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增量型上下文信息服务的质量优化实时调度 |
杨朝晖1,李善平1,林欣1,2 |
1.浙江大学 计算机科学与技术学院, 浙江 杭州 310027;2.华东师范大学 计算机科学技术系, 上海 200241 |
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Quality optimizing real-time scheduling for incremental context services |
YANG Zhao-hui1, LI Shan-ping1, LIN Xin1,2 |
1. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China; 2. Department
of Computer Science and Technology, East China Normal University, Shanghai 200241, China |
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[3] KWANGEUN K, KWEEBO S. Development of context aware system based on Bayesian network driven context reasoning method and ontology context modeling [C]∥ International Conference on Control, Automation and Systems. Seoul: ICROS of Korea, 2008:2309-2313.
[4] YE J, COYLE L, DOBSON S, et al. Using situation lattices to model and reason about context [C]∥ 4th International Workshop on Modeling and Reasoning in Context.Roskilde: Roskilde University, 2007: 1-12.
[5] HAN Q, VENKATASUBRAMANIAN N. Addressing timeliness/accuracy/cost tradeoffs in information collection for dynamic environments [C]∥ 24th IEEE International RealTime Systems Symposium.Los Alamitos: IEEE, 2003: 108-117.
[6] HAN Q, VENKATASUBRAMANIAN N. Timelinessaccuracy balanced collection of dynamic context data [J]. IEEE Transactions on Parallel and Distributed Systems, 2007, 18(2): 158-171.
[7] 林欣, 李善平, 杨朝晖. 新鲜度敏感的上下文推理实时调度算法 [J]. 电子与信息学报, 2009, 31(5): 1185-1188.
LIN Xin, LI Shanping, YANG Zhaohui. Freshnessaware realtime scheduling algorithm for context reasoning [J]. Journal of Electronics and Information, 2009, 31(5): 1185-1188.
[8] LIU J W. Realtime systems [M]. Upper Saddle River: Prentice Hall, 2000: 130-140.
[9] Bayesian network tools in Java (BNJ). [20101101]. http:∥bnj.sourceforge.net/.
[10] CHENG J, DRUZDZEL M J. AISBN: an adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks [J]. Journal of Artificial Intelligence Research (JAIR), 2000, 13(1): 155-188. |
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