以使用者共識為中心的服務導向塑模方法-以智慧環境為例

Abstract

隨著服務導向架構與雲端計算的蓬勃發展，網路服務已成為網際網路趨勢。而服務品質對於服務的使用者來說則一直是很重要的課題。如何選擇服務對於非功能性的服務品質則可以被視為一個多目標決策的問題。本研究則是提出一個以使用者為中心的服務導向方法，利用模糊理論與理想解模式進行使用者共識的計算，將其與服務元件架構結合，用以處理網路服務的選擇，使其可以同時滿足多個使用者的需求與偏號，並且將其應用在動態的環境。服務的使用者可以利用語言變數輸入對於服務的評價與偏好，本研究透過轉換成模糊集合表示之，並利用共識積分將其轉換成數值後，再進行共識的計算。而服務元件架構則是用來將這些計算方法、軟體、硬體可以快速的結合在一起，提供一個良好整合的平台與環境。 本研究以設計一個智慧環境為案例場景，以冷氣服務、除溼服務與燈光服務為評估的對象，讓使用者對於不同的溫度、溼度與亮度進行案例的評估，以得到群體使用者對於舒適度最大共識下的設定值；本研究並利用一個 8*8的 LED 模擬服務執行的場景，用以證明服務的選擇與執行可以透過服務元件架構良好的結合在一起。在成熟的資訊通訊技術發展上，可以降低資訊系統建置的複雜度與異質環境整合的難度。我們也將成功利用的將本研究所提出的方法應用到一個智慧節能的計劃之中，該計劃是利用資訊通訊技術(Information Communication Technology, ICT)將家庭用電狀況搜集後，利用感測器搜集資料後利用Zigbee網路傳回資料中心，經過分析後給予使用者在使用家電設備時的建議，提供使用者對於節約能源的共識形成有一定的助益。

With rapid development of service-oriented architecture and cloud computing, web services have been widely employed on the Internet. Quality of service (QoS) is a very important criterion for service consumers to measure and select services. The selection of web services with respect to non-functional QoS criteria can be considered as a multiple criteria decision making (MCDM) problem when multiple consumers need to share a service. This study presents an evaluation method based on the technique for Order Preference by Similarity to an Ideal Solution to help service consumers to select web services in a fuzzy environment. The linguistic variables, parameterized by triangular fuzzy numbers, are used to evaluate the weight of various criteria and the ratings of each alternative web service. Then the fuzzy TOPSIS method is employed to transform the linguistic terms into crisp numbers and obtain the preference order of available alternative web services. This paper describes a framework which is featured by integrating fuzzy TOPSIS and service component architecture to facilitate web service selection and to effectively satisfy a group of service consumers’ subjective requirements and dynamic preferences on a cast study on intelligent environment. The proposed framework is also able to re-aggregate users’ feedback on the services which are air-condition, dehumidify, and lighting service. User could evaluate these services and find out the group consensus. We also design a simulated environment that includes 8*8 LED matrix on a circuit board that corresponds to an office with different appliances to demonstrate the dynamic service selection and binding. The simulation is used to assess the computational efficiency of the fuzzy TOPSIS method and the flexibility and efficiency of the proposed system. We also apply the proposed method into a project of ICT for energy efficiency. It not only collected electronic current but also analytic the status of power consumptions from data center by ICT. It helps users to form the consensus on energy-saving and service-using.