臺灣博碩士論文加值系統

近年來，隨著網路技術的不斷發展和演進，以及行動終端裝置的普及與運算能力的提昇，行動裝置間點對點(Peer to Peer，P2P)應用日漸普及。網路服務由於跨平台的特性，已成為廣泛應用的伺服端技術。將點對點及網路服務(Web Services)應用在行動裝置上成為無可避免的趨勢。

但是，受限於網路的頻寬和行動裝置運算能力，行動P2P及網路服務的發展仍有侷限，如何建立有效的機制在行動P2P的網路上來分享網路服務，成為一研究課題。在本文中我們首先提出基於 P2P代理的架構機制，在無線裝置節點及有線代理節點間增加了中繼節點的觀念。並且對中繼節點的功能進行了討論，且使用不同的分群策略機制對性能進行了分析，結果證明分群機制對網路服務的分享是可行有效且可提升效益。

In recent years with the development and advance of mobile network technologies and the enhancement of computing capability of mobile devices, Peer to Peer (P2P) applications have become popular. Web services have become a widely used server-side technologies because of their cross-platform features. Applying Web services to P2P networks on mobile devices has become inevitable.

Due to the network bandwidth and computing capability of mobile devices, the applications of Web services on mobile P2P are still limited. Web Services and P2P technologies both aim at providing a platform for publishing and discovery across networks. In this paper, we propose clustering strategies for sharing Web services in mobile P2P networks. We first present a mechanism based on P2P agent-based architecture in which a relay node bridges between mobile nodes in wireless links and an agent node in wired links. Then a number of clustering strategies are investigated. The functionalities of relay nodes are discussed and the performance of the mechanism with different clustering strategies is analyzed. The results show the proposed mechanism is feasible and effective.

摘要 i
ABSTRACT ii
誌謝 iii
目錄內容 iv
表目錄 vi
圖目錄 vii
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 2
1.3 論文架構 2
第二章 相關文獻與技術探討 3
2.1 P2P緣由與發展 3
2.1.1 P2P技術 5
2.1.2 P2P歷史與演進 6
2.1.3 P2P網路分類 8
2.1.4 P2P目前應用 11
2.2 分群機制(Clustering Mechanisms) 12
2.2.1 分割方法 12
2.2.2 密度式方法 14
2.3 WINDOWS行動裝置平台 16
2.3.1 系統介紹 16
2.3.2 系統功能介紹 17
2.3.3 模擬器Device Emulator 18
2.3.4 SQL Server Compact Edition 20
2.4 網路服務以及其相關技術 21
2.4.1 SOAP 21
2.4.2 UDDI 22
2.4.3 WSDL 24
2.4.4 XML 26
2.4.5 SOA 27
第三章 系統架構 28
3.1 系統設計簡介與流程 28
3.2 系統架構設計 30
3.3 行動網路服務(MWS) 32
3.4 分群機制相似度距離測量法(Distance Similarity Measurement) 34
第四章 系統範例實作 36
4.1 系統開發環境 36
4.2 系統實作 37
4.3 系統功能與介面 42
第五章 系統實驗與分析 46
5.1 實驗環境 46
5.2 實驗結果分析與探討 49
第六章 結論與未來展望 53
參考文獻 54

[1] 王浩永 (2004)，群聚參數與群聚適切性的分析與應用，朝陽科技大學資訊管理
系碩士論文
[2] 林育臣 (2002)，群聚技術之研究，朝陽科技大學資訊管理研究所碩士論文
[3] 許邑丞、張欽智 (2008)，以多模式架構及快取和預取策略應用於行動網路服務
之效能改善，2008 數位內容學術研討會，第 733 - 738 頁
[4] 陳晏晟 (2009)，點對點行動網路上網路服務分享機制之研究，中華大學資訊工
程學系碩士論文
[5] 蔡文偉 (2008)，使用者為中心的適性化網路服務選擇機制，中華大學資訊工程
學系碩士論文
[6] Ankerst, M., Breunig, M., Kriegel, H. P. and Sander, J. (1997), “Optics: Approach to
Spatial Data Mining”, VLDB'97, 1997, vol. 18, pp. 144-155.
[7] Berkhin, P. (2002), Survey Of Clustering Data Mining Techniques, Accrue Software,
Inc.
[8] Beusekom, J., Keysers, D., Shafait, F., and Breuel, T. M. (2006), “Distance
Measures for Layout-Based Document Image Retrieval”, Second International
Conference on Document Image Analysis for Libraries -DIAL '06, pp. 232-242,
April 2006.
[9] Ester, M., Kriegel, H. P., Sande,r J. and Xu, X. (1996), “A Density-Based Algorithm
for Discovering Clusters in Large Spatial Databases with Noise”, Knowledge
Discovery and Data Mining, pp. 226-231.
[10] Farley, P. and Capp, M. (2005), Mobile Web Services, BT Technology Journal, pp.
202-213.
[11] Forgy, E. W. (1965), “Cluster analysis of multivariate data: efficiency vs.
interpretability of classifications”, Biometrics 21, 768–769.
55
[12] Gehlen, G. and Pham, L. (2005), Mobile Web services for peer-to-peer applications,
Consumer Communications and Networking Conference (CCNC), pp.427-433.
[13] Han J., M. Kamber, and Pei, J. (2011), Data Mining: Concepts and Techniques, 3rd
Ed., Morgan Kaufmann.
[14] MacQueen, J. B. (1967), "Some Methods for classification and Analysis of
Multivariate Observations", Proceedings of 5th Berkeley Symposium on
Mathematical Statistics and Probability, University of California Press, pp. 281–297.
[15] Microsoft, SQL Server Compact Edition,
disable_http://www.microsoft.com/en-us/sqlserver/editions/2012-editions/compact.aspx,
2013.
[16] Peiravi, A., and Kheibari, H. T. (2008), “Connectivity Graph Approximation Using
Modified Manhattan Distance in Mobile Ad Hoc Networks”, Asian Network for
Scientific Information Journal of Applied Sciences Journal of Applied Sciences, Vol.
8, pp. 1462-1470, August 2008.
[17] Sokak, R. R. and Sneath, P. H. (1963), Principles of numerical taxonomy, Freeman,
San Francisco – London.