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Research on Distributed Index of Moving Objects for Future Query

Author: YeBoSong
Tutor: TangDaQuan
School: National University of Defense Science and Technology
Course: Management Science and Engineering
Keywords: Moving objects index P2P Spatiotemporal Query Distributed Index Moving Object Database
CLC: TP311.13
Type: Master's thesis
Year: 2010
Downloads: 79
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Abstract


With the rapid development of database technology, network technology, wireless communication technology and on-line analytical processing technology, the mobile object database technology on the battlefield medical, real-time command and control, and many other areas of the digitized battlefield, the battlefield situation prediction show a broad application prospects. Moving Object Database (Moving Objects Database, MOD) index moving object database technology is a key technology, a wide range of domestic and foreign researchers. Moving object database index is the main consideration in a centralized environment, massive moving object management and real-world applications require mobile object database by the centralized processing model to the development of distributed processing mode. (Peer-to-Peer, P2P) network is the most important in recent years, distributed processing technologies, provides a wealth of resources and powerful processing service capabilities. Due to its good scalability and robustness, so that it may be an effective way to solve large-scale distributed mobile data management. This paper presents a distributed environment, future-oriented index moving objects prediction query: PeerFOX (Peer Future prediction moving Object indeX). The main research contents and innovations include the following aspects: 1. Analysis by the status quo and development trend of the moving object indexing technology and P2P data management, P2P environment moving object database indexing techniques is an effective solution to the distribution an inevitable trend in the organization and management of the massive moving object data type environment. The next index topology support queries tense and moving object data types represented moving objects indexing techniques to classify Summary. MOST (Moving Objects Spatio-Temporal) model based on assumptions and simplifications moving object data model in a distributed environment: MOST * model, as this study moving objects in a distributed environment data representation. Combined with the actual application requirements, choose as a server-based space division method of moving objects distributed management method. Good filling properties of Hilbert curve subspace sort in order to achieve dimensionality reduction. 3. Proposed the double indexing structure PeerFOX future-oriented queries in a P2P environment: the upper server node network topology organizational structure and its data structure, the lower server nodes within the index structure. Next routing rules, introduced PeerFOX index structure and query algorithm, and the establishment and maintenance of the algorithm, and then introduce a system load balancing strategy. 4. GSTD temporal data generator generates data sets of different types of moving objects, a simulation experiment is designed for these data sets. 5. Moving object database technology application in the P2P environment. Abstract model of the battlefield environment, discuss the the battlefield environment distributed space-time query processing.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
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