應用高階模糊派翠網路之巨量資料分析平台

Big data analytics as a service (AaaS) platform with high-level fuzzy Petri nets

許展豪(Chan Hao Hsu)

指導教授 ： 沈榮麟

國立臺北大學/電機資訊學院/資訊工程學系/碩士(2015年)

摘要

近年來巨量資料受到高度的重視，很多的研究開始探討如何處理巨量資料的收集、整理、儲存和分析，儘管巨量資料概念擁有很多好處，但仍不能有效的運用於各企業，因此，本研究將高階模糊派翠網路理論應用於製作巨量資料分析平台上，它能擁有許多優點:(1)使用high level的方式描述分析的內容;(2)透過模組化方式確認分析流程;(3)提倡模糊理論的精神，透過非線性方程式解決問題;(4)由系統自動產生Map/Reduce程式;(5)平行化減少分析時間;(6)透過介面查詢結果。最後，我們做了一些實驗來驗證本平台的功能。

關鍵字

模糊系統 ； 巨量資料 ； 高階模糊派翠網路 ； 雲端運算 ； 服務平台

並列摘要

Analytics-as-a-Service (AaaS) has become a more popular discipline in recent years, and many researchers are concerning about how to collect, collate, store, and analyze big data. The aim of this study is to apply the theory of high-level fuzzy Petri nets (HLFPN) to big data analytics platform. The platform features the following advantages: 1) it enables to describe analytical contents through natural language approaches; 2) it can be used to verify analytical processes through modular approaches; 3) it enables to promote fuzzy theory and solving problems through nonlinear equations; 4) it can be employed to generate Map/Reduce programs automatically through the system; 5) it can be used for parallelization, thereby shortening analysis time; and 6) it enables to inquire results through an interface. Finally, we describe the experiments conducted to verify the functions of the platform.

並列關鍵字

fuzzy system ； big data ； high-level fuzzy Petri nets ； cloud computing ； service platform

參考文獻

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