BURSTINESS

作品数：5被引量：1H指数：1
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相关作者：纪其进更多>>
相关机构：东南大学清华大学更多>>
相关期刊：《China Communications》《International Journal of Modeling, Simulation, and Scientific Computing》《Journal of Southeast University(English Edition)》《Journal of Computer Science & Technology》更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划北京市自然科学基金国家教育部博士点基金更多>>
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Deep Reinforcement Learning Based Spectrum Prediction for Bursty Bands
《China Communications》2023年第7期241-257,共17页Tao Peng Chao Yang Peiliang Zuo Xinyue Wang Rongrong Qian Wenbo Wang 
supported in part by the China National Key R&D Program(no.2020YF-B1808000);Beijing Natural Science Foundation(No.L192002);in part by the Fundamental Research Funds for the Central Universities(No.328202206);the National Natural Science Foundation of China(No.61971058);in part by"Advanced and sophisticated"discipline construction project of universities in Beijing(No.20210013Z0401)。
Spectrum prediction plays an important role for the secondary user(SU)to utilize the shared spectrum resources.However,currently utilized prediction methods are not well applied to spectrum with high burstiness,as par...
关键词：spectrum prediction BURSTINESS ISM band IEEE 802.11 deep-reinforcement learning multilayer perceptron 
Dynamic resource allocation for service in mobile cloud computing with Markov modulated arrivals
《International Journal of Modeling, Simulation, and Scientific Computing》2021年第5期97-117,共21页Munatel Mohammed Abdelkrim Haqiq 
Mobile Cloud Computing (MCC) is a modern architecture that brings together cloudcomputing, mobile computing and wireless networks to assist mobile devices in storage,computing and communication. A cloud environment is...
关键词：Mobile cloud computing resource allocation BURSTINESS Markov decision process 
Design and Analysis of a Multiscale Active Queue Management Scheme
《Journal of Computer Science & Technology》2006年第6期1022-1030,共9页纪其进 董永强 
Supported by the National Grand Fundamental Research 973 Program of China under Grant No. 2003CB314801, the National Research Foundation for the Doctoral Program of Higher Education of China under Grant No. 20040286001 and the National Natural Science Foundation of China under Grant No. 90604003. Acknowledgments The authors would like to thank Professor Guan-Qun Gu for his supervision and Professor Jun Shen for his comments on an early draft of this paper.
Since Internet is dominated by TCP-based applications, active queue management （AQM） is considered as an effective way for congestion control. However, most AQM schemes suffer obvious performance degradation with dy...
关键词：active queue management multiscale traffic burstiness fluid-flow model stability analysis 
On approximating multifractal traffic burstiness with Markov modulated Poisson processes被引量：1
《Journal of Southeast University(English Edition)》2004年第4期436-441,共6页纪其进 
TheNationalNaturalScienceFoundationofChina(No.90104009)theNationalBackResearchProgramofChina(973Program)(No.2003CB314801).
We investigate the approximating capability of Markov modulated Poisson processes (MMPP) for modeling multifractal Internet traffic. The choice of MMPP is motivated by its ability to capture the variability and correl...
关键词：multifractal traffic Markov modulated Poisson processes queueing delay packet loss rate 
PERFORMANCE ANALYSIS FOR ATM SWITCHING OF MIXED CONTINUOUS-BIT-RATE AND BURSTY TRAFFIC WITH SMOOTHING FUNCTION
《Journal of Electronics(China)》1997年第2期133-139,共7页Liao Jianxin Li Lemin Sun Hairong(Beijing University of Posts and Telecommunications, Beijing 100088) (University of Electronic Science and Tecnnclogy of China, Chengdu 610054) 
Supported by the National Natural Science Foundation of China;Foundation of the Acadency of Electronic Science,China;the National Postdoctoral Science Fund of China
Traditional packet switching networks have typically employed window-based congestion control schemes in order to regulate traffic flow. In ATM networks, the high speed of the communication links and the varied nature...
关键词：ATM Interrupted BERNOULLI process BURSTINESS TRAFFIC SMOOTHING RECURSIVE algorithm 
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