Dissertation > Excellent graduate degree dissertation topics show

Network Education System Node Search Algorithm Based on P2P

Author: ZhaoJingYu
Tutor: LiZuo;ZhangYu
School: Jilin University
Course: Software Engineering
Keywords: P2P Teaching System Network Node Algorithm
CLC: TP393.02
Type: Master's thesis
Year: 2008
Downloads: 37
Quote: 0
Read: Download Dissertation


At present, higher education is in an age of the modernization and development of the information, teaching the network has become a new form of teaching. Teaching Network is an Internet-based platform, which is the basic requirement of information from the teachers to the client-side students. It need to send the diversified message , including video, audio, text, picture and so on. It is an important aspect how to effectively organize these information in order to achieve better teaching results of the network which need to solve . At the same time, teaching the network can achieve excellent teaching resource , teaching methods far away from the time and space constraint. Otherwise most of the traditional teaching network are based on the C/S model. As the relative concentration of resources, too many users lead to many defects. For example: the existence of single-node server failure, network bandwidth bottleneck, as well as under-utilization of resources, and the like.With the rapid development of P2P networks, P2P network technology has become today’s IT technology research and application of the hot spots. The use of P2P distribution structure can provide effective load balance, to make full use of bandwidth: the excavation of the computer is idle capacity of the computer. P2P relies on the availability of network data to find cost-effective extraction method and how to efficiently search the P2P network is a P2P network resource to achieve the most critical issues.The purpose of this paper is designed, network node system of teaching information-gathering algorithm which based on a P2P to maintain the advantage of the Flooding and to reduce the surplus generated news. The method can improve the environment and the teaching resources results on the network .The algorithm is used in network teaching system to find good teaching resources quickly and improve the operating efficiency of the entire network.In this paper, in order to set out detailed network node system of teaching method and collect information . First it introduced the P2P technology works, mainly application realm, network topology model, and then give a more detailed description of the search algorithm, as well as resources for P2P resources of several of the search algorithm. After analysising of the existing resources of the strengths and weaknesses of the search algorithm. It improved method of teaching and proposed network node system to collect algorithm (Teaching System Network Node Information-gathering Method referred to as TSNNIM algorithm).TSNNIM algorithm is based on the basic idea of unstructured P2P topology, in accordance with a request for information after the 7hops in two stages (low hops and hops), in low hops stage, there is a relatively wide coverage of the search, and produce a small surplus , And in high hops stage, the situation is the opposite. Any one of the P2P networks, in order to be able to point to a node, we can turn it into a pyramid shape. The graphics in the top layers, which through the neighbor nodes send the information node to limit the surplus generated news. When the news reached the 4th floor, it resulted in a considerable number of the source node, and this time have a surplus of information which is also relatively small. The node degree as a standard, the use of random walk method is an effective way to reduce the surplus generated news. And we can have a considerable success rate.TSNNIM algorithm in this article was to establish a 10,000-node composing of any P2P network simulation. From the test data, we can see that comparing the use of TSNNIM algorithm to Flooding , the ratio was 7.1 percent. This efficiency is not high, but the former of 4 layers of redundant information is not a lot of cases, the lower surplus news is acceptable. Throughout the 7th floor, when searching the documents, compared the volume of TSSNNIM algorithlm and the Flooding algorithm , we can measure TSNNIM algorithm’s ratio is 12.5%. The experimences show that the algorithm improved the efficiency of search resources, the P2P network has a certain practical value.P2P technology make computer systems share information and resources without having to transit. Compring with traditional C / S model, it has an obvious advantage in many aspects . For example :its effective use of a large number of idle network of information resources, storage space, processor cycles, and other resources , and avoid bottlenecks caused by the server, reduce the server costs and the like . P2P technology will be applied to tele-education server and can be transmitted from the heavy congestion and bandwidth liberate . At the same time, students can share resources among the interaction and more convenient. TSNNIM algorithm will be used network teaching system, and will have far-reaching significance.

Related Dissertations

  1. Research on Scheduling of Whole-set Orders in JSP Based on Differential Evolution Algorithm,F273
  2. Research on Graph-Based Algorithm for Tagsnps Selection,Q78
  3. Research and Realization on Synchronization Technology of High Sensitivity GNSS Software Receiver,P228.4
  4. Development of the Platform for Compressor Optimization Design and Aerodynamic Optimization Design in the Transonic Compressor,TH45
  5. Effectiveness Evaluation on the Jointed Combat of the Multiple Missiles and Research on Combinatorial Optimization Algorithm,TJ760.1
  6. The Inductive Load Based Vehicle Body Network Control System,U463.6
  7. Reseach on Optimal Control of Elevator Group Based upon Ant Colony Algorithm,TU857
  8. Research on Temprature Controling Technology of Laser Diode with Thermoelectric Cooler,TN248.4
  9. The AES Algorithm and Its Implementation in DSP,TN918.1
  10. Research on UWB Location Technology Using UWB Radio Signal,TN929.5
  11. The Algorithm of DFT with a Subset of Output Points Based on TS101 and Its Software Implementation,TN911.72
  12. Study on Estimation of Two Dimensional Direction of Arrival Using a DBF Receiver,TN851
  13. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  14. Study on Channel Coding Algorithm in IEEE802.16e,TN911.22
  15. Research on Decoding Algorithm for LDPC Codes,TN911.22
  16. Research on Parallel Frequent Graph Pattern Mining,TP311.13
  17. The Fatigue State Recognition of the Driver Based on Eye Detection,TP391.41
  18. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41
  19. Research on Removal Algorithm of Shadows in Image Segmentation,TP391.41
  20. Research on Navigation System Related Technology for Moving Objects under Dynamic Environment,TP301.6
  21. Research and Implementation for Method of AUTOSAR System Modeling,TP311.52

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > Computer network architecture and design
© 2012 www.DissertationTopic.Net  Mobile