Dissertation > Excellent graduate degree dissertation topics show

Markov Model Research Based on Information Forecast of P2P Node

Author: LiuShaoLin
Tutor: WangShiPu
School: Yunnan University
Course: Applied Computer Technology
Keywords: P2P networks Forecast Markov Chain Birth and death process
CLC: O211.62
Type: Master's thesis
Year: 2011
Downloads: 12
Quote: 0
Read: Download Dissertation

Abstract


With the rapid development of the Internet, the P2P network technology, more and more people's attention. Relative to the traditional C / S mode, P2P (peer to peer) technology makes many personal computer (Peer node) both the client and also the service side, to decentralized services, so that the processing power to get a major upgrade of the entire network, all of which promote the P2P rapid development. Analysis of actual traffic patterns, according to the China Internet report shows that P2P traffic accounts for 60% of the entire Internet traffic [1]. The German Internet research firm ipoque P2P has been completely dominated the Internet today, 50-90% of the total traffic from P2P programs [2]. Live and on-demand P2P traffic accounts for an important part. We actually watch live or on-demand, we always download speed is too slow and unstable flow, the video is not smooth and trouble. P2P system performance is affected by many factors, node perturbation (chum) is an important reason to watch a program when the mobile nodes (users) into the P2P network (on-demand or live), the other nodes in its data block transfer with uncertain sex. In this paper, stochastic processes of birth and death process principle seeks to establish a forecast probability parameters in order to solve the above problem to a certain extent, by the establishment of a Markov model of the mobile nodes (users), the parent node (information providers) create a Markov model, and through a comparative analysis of the two models, the parent node pass information to assess the probability of the mobile node to provide a reference for the mobile node, to some extent, to ensure that the mobile node video viewing is smooth and stable. The main contribution of this paper include: (?) The principle of the application of stochastic processes of birth and death process, established a Markov model of the mobile nodes (users), the parent node (information providers), gives the details of the two models The mathematical description of the important conclusions mathematical the full derivation process, and achieve the P2P node forecasting algorithm. (?) Integrated mobile nodes (users), both subject and object of the parent node (information providers) and mobile nodes (users), the parent node (information providers) pass the probability of information and does not pass the information The probability of both positive and negative, so that the node probability assessment more objective, comprehensive. (?) By Matlab and Java the P2P node forecasting algorithm, obtained under certain conditions in order to ensure that the video viewing is smooth and stable k corresponding maximum (information-based mobile nodes Forecast Markov model) and the minimum value of k (Forecast Markov model based on the parent node).

Related Dissertations

  1. Application of Numerical Designing Cigarette Blending Formula on Computational Intelligence,TS44
  2. The Evaluation and Forecasting Research on Uncertainty Systems Method of Student Achievement,G642.4
  3. Research on the Evaluation of Straw Resource and the Development of Scale-Up Straw Energy Utilization in Jiangsu Province,S38
  4. Study on Growth Monitoring Technique Based on Pixel Un-Mixing Method and HJ Remote Sensing Images in Paddy Rice,S511
  5. The Research of Prediction of Lean Yield with CSB Image-Meater and Pork Carcass Grading System,S828
  6. Research on Talents Team in Hefei-Wuhu-Bengbu Based on Independent Innovation,C964.2
  7. TV weather programs \,G222
  8. Zhaoguan Lower Coal Group water inrush prediction and control techniques,TD745
  9. Researches on Urban Rail Transportation Operation Management System Test and Evaluation Method,TP311.52
  10. Research on the Feasibility of Highway Construction Project,F542
  11. Analysis of China’s Household Electrical Appliance Industry Supply Chain Integration,F426.6
  12. Analysis on Synoptic Climatology Characteristics and Forecast Methods of Fog in Hainan,P457
  13. Detection and Tracking of Moving Object in Complex Background,TP391.41
  14. "OD Matrix Estimation" Technology in Urban Traffic Demand Forecast Prediction Research,U491.14
  15. Traffic Prediction Model Based on Wavelet and Markov,TP393.06
  16. Aircraft icing numerical prediction system design and implementation,TP311.52
  17. Applied Research of Ground Penetrating Radar in Tunnel Geological Prediction,U452.11
  18. Research on Operations Management Improvement of Natconn Company,F426.63
  19. Research on Low Power Techniques of the Instruction Fetching Unit in Embedded Processors,TP332
  20. Virus Detection Technology Based on Artificial Immune,TP393.08
  21. Application of Rough Set and Flex in Mid-long Term Runoff Forecasting,P338

CLC: > Mathematical sciences and chemical > Mathematics > Probability Theory and Mathematical Statistics > Theory of probability ( probability theory, probability theory ) > Random process > Markov process
© 2012 www.DissertationTopic.Net  Mobile