Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/35214
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 苑守慈 | zh_TW |
dc.contributor.author | 盧美蓉 | zh_TW |
dc.creator | 盧美蓉 | zh_TW |
dc.date | 2005 | en_US |
dc.date.accessioned | 2009-09-18T06:27:52Z | - |
dc.date.available | 2009-09-18T06:27:52Z | - |
dc.date.issued | 2009-09-18T06:27:52Z | - |
dc.identifier | G0093356002 | en_US |
dc.identifier.uri | https://nccur.lib.nccu.edu.tw/handle/140.119/35214 | - |
dc.description | 碩士 | zh_TW |
dc.description | 國立政治大學 | zh_TW |
dc.description | 資訊管理研究所 | zh_TW |
dc.description | 93356002 | zh_TW |
dc.description | 94 | zh_TW |
dc.description.abstract | 服務導向架構(Service-Oriented-Architecture, SOA)與事件導向架構(Event-driven Architecture, EDA)的結合應用將成為未來Real-Time Enterprise軟體應用系統架構的主流趨勢,雖然兩架構的結合可以整體提升應用系統之反應、整合與溝通的能力,但若無良好的事件管理機制及搭配提供服務的配套設計,則難以充分發揮兩架構結合的互補綜效。本研究所提出之調適式SOA有效事件模型,以事件價值觀點(Value-driven)分析事件所提供的價值對使用者的重要性與效益。由於使用者所重視的事件價值不同,因此也為各別使用者設計一調適性事件語意資訊模型(Customized Event Ontology Model),作為篩選事件的依據,另外,事件管理機制也可運用智慧型代理人(Agent)觀察使用者採用事件的行為,透過學習更新事件過濾的規則,並可建議使用者取消訂閱(subscribe)不重視的事件。本研究同時搭配設計一事件與服務對應的機制,並透過此機制連結外部環境所提供的服務。本研究所提出之調適式SOA有效事件模型,預期可提供更為健全的服務導向架構(SOA)與事件導向架構(EDA)的結合應用設計,讓使用者可以真正受惠於此種應用軟體架構結合的好處與效用。 | zh_TW |
dc.description.abstract | The combination of Service-Oriented-Architecture (SOA) and Event-driven Architecture (EDA) will become the main trend of application architecture of Real-Time Enterprise in the future. Although the combination of these two architectures can enhance an application system’s capabilities in response, integration and communication as a whole, it’s hardly to extend these two architectures’ complemented advantages unless there is a sound mechanism for advanced event and service management. This paper presents a novel methodology which can analyze the importance and impacts of events’ values to users. Based on different emphases on events’ values among users, this research can also develop a Customized Event Ontology Model used as the basis for filtering events for an individual user. The event management mechanism designs an intelligent agent in order to observe the records of a user’s history events and to learn new filtering rules of events. The mechanism can also suggest the user to cancelling events which are insignificant to him. Furthermore, this study devises a mechanism to bridge the connections between events and services. The contribution of my methodology aims to provide an advanced solution of combining the architectures of SOA and EDA in order for a user to exert up-to-date information for personalized competitive advantage. | en_US |
dc.description.tableofcontents | 表次 V\n圖次 VI\n第壹章 緒論 1\n第一節 研究背景 1\n第二節 研究動機 3\n第三節 研究問題 4\n第四節 研究目的與預期貢獻 5\n第五節 研究流程 7\n第貳章 文獻探討 8\n第一節 服務導向架構(Service-Oriented Architecture) 8\n第二節 事件導向架構(Event-Driven Architecture) 10\n第三節 服務導向架構與事件導向架構的結合 16\n第参章 研究方法 19\n第一節 調適式SOA有效事件模型架構 20\n第二節 研究核心基礎概念 22\n第三節 Dispatch Agent 34\n第四節 事件導向架構(EDA)的元件 34\n第五節 SOA Synthesizer 42\n第六節 服務導向架構(SOA)的元件 43\n第七節 情境應用 43\n第肆章 實驗設計與結論 44\n第一節 實驗架構與情境設計 44\n第二節 實驗目的與問題 51\n第三節 實驗方式與結果評估 53\n第伍章 系統架構 119\n第一節 系統元件功能 119\n第二節 系統流程 121\n第三節 系統畫面 123\n第四節 iCare整合應用平台 128\n第陸章 結論與未來研究方向 132\n第一節 結論 132\n第二節 本研究之商業價值 135\n第三節 未來研究方向 136\n參考文獻 138\n\n表次\n表2-3-1 SOA與EDA的相異點.............................................................................16\n表3-2-1 事件衡量指標列表..................................................................................27\n表3-2-2 價值向量..................................................................................................33\n表3-4-1 表.....................................................................................................36\n表3-4-2 LOESS Model公式..................................................................................39\n表3-4-3 多元線性迴歸公式..................................................................................40\n表4-1-1 系統參數之設計......................................................................................45\n表4-1-2 事件類型之情境設計..............................................................................49\n表4-1-3 使用者之情境設計..................................................................................50\n表4-3-1 iCare老人照護模擬情境之事件轉換價值設計.....................................92\n \n圖次\n圖1-1-1 SOA與EDA的相異點…………....……………………...……………...3\n圖1-5-1 研究流程圖................................................................................................7\n圖2-1-1 SOA基本架構圖與Web Service實作技術.............................................9\n圖2-2-1 簡單的object-based publish/subscribe系統............................................11\n圖2-2-2 商業事件應用系統類別圖......................................................................14\n圖2-2-3 2004年新的大型應用系統中理論上與實際上應用EDA的情況.........15\n圖3-1 本研究內外部環境關係圖......................................................................20\n圖3-1-1 調適式SOA有效事件模型架構圖.........................................................21\n圖3-2-1 事件價值分類模組(Event Value Taxonomy).........................................25\n圖3-2-2 domain independent事件的表示圖.........................................................31\n圖3-2-3 事件和價值關係圖..................................................................................32\n圖3-2-4 事件價值分類模組、事件衡量指標模組與事件本體模組之關係圖....33\n圖3-3-1 Dispatch Agent處理情境圖.....................................................................34\n圖3-4-1 Event Processing Agent處理事件流程圖...............................................35\n圖3-4-2 Event Adapter Agent調整調適性事件語意資訊模型流程圖................38\n圖3-4-3 Event Management Agent處理情境圖....................................................41\n圖3-5-1 SOA Synthesizer處理事件情境圖..........................................................42圖4-1-1 實驗環境設計圖......................................................................................45\n圖4-3-1 實驗模擬流程設計..................................................................................53\n圖4-3-2 事件價值分類模組向量0.9/0.1版本...................................................57\n圖4-3-3 事件價值分類模組向量0.8/0.2版本...................................................58\n圖4-3-4 事件價值分類模組向量0.7/0.3版本...................................................58\n圖4-3-5 事件價值分類模組向量0.6/0.4版本...................................................59\n圖4-3-6 事件價值分類模組向量0.5/0.5版本...................................................59\n圖4-3-7 調適性事件語意資訊模型向量之五組版本比較圖..............................61\n圖4-3-8 調適性事件語意資訊模型向量之0.9/0.1版本比較圖.......................63\n圖4-3-9 調適性事件語意資訊模型向量之0.8/0.2版本比較圖.......................63\n圖4-3-10 調適性事件語意資訊模型向量之0.7/0.3版本比較圖.....................64\n圖4-3-11 調適性事件語意資訊模型向量之0.6/0.4版本比較圖......................64\n圖4-3-12 調適性事件語意資訊模型向量之0.5/0.5版本比較圖.....................65\n圖4-3-13 cos門檻值α之五組版本比較圖...........................................................66\n圖4-3-14 事件價值分類模組向量0.9/0.1版本.................................................69\n圖4-3-15 事件價值分類模組向量0.8/0.2版本.................................................69\n圖4-3-16 事件價值分類模組向量0.7/0.3版本.................................................70\n圖4-3-17 事件價值分類模組向量0.6/0.4版本.................................................70\n圖4-3-18 事件價值分類模組向量0.5/0.5版本.................................................71\n圖4-3-19 調適性事件語意資訊模型向量之五組版本比較圖............................72\n圖4-3-20 調適性事件語意資訊模型向量之0.9/0.1版本比較圖.....................74\n圖4-3-21 調適性事件語意資訊模型向量之0.8/0.2版本比較圖.....................75\n圖4-3-22 調適性事件語意資訊模型向量之0.7/0.3版本比較圖.....................75\n圖4-3-23 調適性事件語意資訊模型向量之0.6/0.4版本比較圖.....................76\n圖4-3-24 調適性事件語意資訊模型向量之0.5/0.5版本比較圖.....................76\n圖4-3-25 cos門檻值α之五組版本比較圖..........................................................78\n圖4-3-26 事件價值分類模組向量0.9/0.1版本.................................................80\n圖4-3-27 事件價值分類模組向量0.8/0.2版本.................................................81\n圖4-3-28 事件價值分類模組向量0.7/0.3版本.................................................81\n圖4-3-29 事件價值分類模組向量0.6/0.4版本.................................................82\n圖4-3-30 事件價值分類模組向量0.5/0.5版本.................................................82\n圖4-3-31 調適性事件語意資訊模型向量之五組版本比較圖............................84\n圖4-3-32 調適性事件語意資訊模型向量之0.9/0.1版本比較圖.....................86\n圖4-3-33 調適性事件語意資訊模型向量之0.8/0.2版本比較圖.....................86\n圖4-3-34 調適性事件語意資訊模型向量之0.7/0.3版本比較圖.....................87\n圖4-3-35 調適性事件語意資訊模型向量之0.6/0.4版本比較圖.....................87\n圖4-3-36 調適性事件語意資訊模型向量之0.5/0.5版本比較圖.....................88\n圖4-3-37 cos門檻值α之五組版本比較圖...........................................................89\n圖4-3-38 事件價值分類模組向量0.9/0.1版本.................................................95\n圖4-3-39 事件價值分類模組向量0.8/0.2版本.................................................95\n圖4-3-40 事件價值分類模組向量0.7/0.3版本.................................................96\n圖4-3-41 事件價值分類模組向量0.6/0.4版本.................................................96\n圖4-3-42 事件價值分類模組向量0.5/0.5版本.................................................97\n圖4-3-43 調適性事件語意資訊模型向量之五組版本比較圖............................98\n圖4-3-44 調適性事件語意資訊模型向量之0.9/0.1版本比較圖...................100\n圖4-3-45 調適性事件語意資訊模型向量之0.8/0.2版本比較圖...................101\n圖4-3-46 調適性事件語意資訊模型向量之0.7/0.3版本比較圖...................101\n圖4-3-47 調適性事件語意資訊模型向量之0.6/0.4版本比較圖...................102\n圖4-3-48 調適性事件語意資訊模型向量之0.5/0.5版本比較圖...................102\n圖4-3-49 cos門檻值α之五組版本比較圖.........................................................104\n圖4-3-50 事件價值分類模組向量0.9/0.1版本...............................................106\n圖4-3-51 事件價值分類模組向量0.8/0.2版本...............................................107\n圖4-3-52 事件價值分類模組向量0.7/0.3版本...............................................107\n圖4-3-53 事件價值分類模組向量0.6/0.4版本...............................................108\n圖4-3-54 事件價值分類模組向量0.5/0.5版本...............................................108\n圖4-3-55 調適性事件語意資訊模型向量之五組版本比較圖..........................110\n圖4-3-56 調適性事件語意資訊模型向量之0.9/0.1版本比較圖....................112\n圖4-3-57 調適性事件語意資訊模型向量之0.8/0.2版本比較圖....................112\n圖4-3-58 調適性事件語意資訊模型向量之0.7/0.3版本比較圖....................113\n圖4-3-59 調適性事件語意資訊模型向量之0.6/0.4版本比較圖....................113\n圖4-3-60 調適性事件語意資訊模型向量之0.5/0.5版本比較圖....................114\n圖4-3-61 cos門檻值α之五組版本比較圖..........................................................115\n圖5-1-1 系統架構圖.............................................................................................119\n圖5-3-1 價值權重設定畫面................................................................................124\n圖5-3-2 事件訂閱管理畫面................................................................................125\n圖5-3-3 事件比對結果畫面................................................................................126\n圖5-3-4 提供事件的相關服務詢問視窗............................................................127\n圖5-3-5 拒絕事件確認視窗................................................................................127\n圖5-3-6 價值調適結果畫面................................................................................128\n圖5-4-1 iCare Building Blocks.............................................................................130 | zh_TW |
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dc.language.iso | en_US | - |
dc.source.uri | http://thesis.lib.nccu.edu.tw/record/#G0093356002 | en_US |
dc.subject | 服務導向架構 | zh_TW |
dc.subject | 事件導向架構 | zh_TW |
dc.subject | 事件管理機制 | zh_TW |
dc.subject | 價值策略導向 | zh_TW |
dc.subject | service-oriented architecture | en_US |
dc.subject | event-driven architecture | en_US |
dc.subject | event management mechanism | en_US |
dc.subject | value-driven strategy | en_US |
dc.title | 價值策略導向之調適式SOA有效事件模型建構 | zh_TW |
dc.title | A Value-Driven Architecture Strategy of Adaptive SOA and EDA | en_US |
dc.type | thesis | en |
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dc.relation.reference | 36.TIBCO, TIBCO Delivers Real-time Enterprise Architecture (SOA + EDA) , http://www.tibco.com/software/standards_support/architecture.jsp?m=c15 | zh_TW |
dc.relation.reference | 37.Tom Mitchell(1997), Machine Learning, McGraw-Hill | zh_TW |
item.fulltext | With Fulltext | - |
item.openairetype | thesis | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
item.languageiso639-1 | en_US | - |
Appears in Collections: | 學位論文 |
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