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作者(中文):許至輝
作者(外文):Hsu, Chih-Hui
論文名稱(中文):網路大小連續估計法在非結構P2P網路之應用
論文名稱(外文):Continuous Network Size Estimation in Unstructured Peer-to-Peer Networks
指導教授(中文):陳宜欣
指導教授(外文):Chen, Yi-Shin
學位類別:碩士
校院名稱:國立清華大學
系所名稱:資訊系統與應用研究所
學號:9665512
出版年(民國):98
畢業學年度:97
語文別:英文
論文頁數:29
中文關鍵詞:網路大小同儕網路點對點連續性估計
外文關鍵詞:P2Pnetwork sizepeercontinuousestimation
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隨著P2P網路的盛行,許多針對P2P網路應用的研究例如: 搜尋,整合以及路由被提出。為了使得這些應用能夠運作,網路大小是一個非常重要的總體資訊。
不像是中央管理式系統,P2P網路是個動態且規模變化大的系統;此外,在P2P網路中並沒有中央伺服器用來維護重要的資訊。這些特性使得網路大小變成不易取得的一項資訊。近年來,已經有研究提出如何取得一個估計值的解決辦法。然而,由於網路大小會不斷變動的特性,一次性的估計對於動態網路來說較不具實用價值。
因此,我們首先在三種較常見的網路拓墣上實做三個針對非結構P2P網路中估計網路大小的方法提出一份全面性的比較,並選出表現最好的一個方法作為基底提出兩個重要的改進。加入這些改進之後的方法可以準確地在這三種網路拓墣上實現大小的估計,並且在具有準確的延遲控制下能夠有效率地實現連續性網路大小的估計。最後我們呈現實驗的結果來驗證我們改進的成果。
As the applications over Peer-to-Peer (P2P) networks become more popular, lots of research has focused on the mechanisms of searching, aggregating and routing in P2P networks. To support these functions, estimating network size is vital for global information.
Unlike centralized systems, P2P networks are dynamic and scalable; besides, there is no server to maintain the information in P2P networks. These properties make the information about network size hard to obtain. In recent years, some research has addressed the mechanisms for getting the estimated size of unstructured P2P networks. However, a one-shot estimation is not practical when the network size is dynamic. As a result, we first provide
a comprehensive comparison among three related methods in three popular overlay graphs and then propose two modifications based on one of the methods. With our improvements, this modified method can function well in the three overlay graphs and continuously monitor
network size with precisely latency control. We present the experimental results to show our improvement over the one-shot estimation and the outcomes of latency control of
continuous estimation in dynamic networks.
Contents
Chinese Abstract ii
Abstract iii
Acknowledgement iv
List of Tables vii
List of Figures viii
1 Introduction 1
2 RELATEDWORK 3
3 PRELIMINARY STUDY 6
3.1 Size estimation methods overviews . . . . . . . . . . . . . . . . 7
3.2 Methods Comparison . . . . . . . . . . 8
3.2.1 Experimental environment . . . . . . 9
3.2.2 Evaluation Criteria .. . . . . . . . 10
3.2.3 Results Comparison . . .. . . . . . 10
3.2.4 Summary . . .. . . . . . . . . . . . 12
4 Methodology 16
4.1 Correct the inaccuracy problem in power-law graph . . . . . . . . . . . . . . . . . . .16
4.2 Continuous size estimation . . . . . . . . . . . . . . . . 18
4.2.1 Continuous solution . . .. . . . . . 18
5 EXPERIMENTAL EVALUATION 21
5.1 Evaluation results . . . . . . . . . . 21
5.1.1 Modified Sample&Collide . .. . . . . 22
5.1.2 Continuous estimation V.S. one-shot estimation . . . . . . . . . .. . . . . . .22
5.1.3 Latency control . . . . . . . . . . 22
6 Conclusion 26
References 27
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