由於無所不在的電腦運算 (Ubiquitous Computing) 以及普及運算
(Pervasive Computing) 概念的興起，環境感知應用 (Context-Aware
Application) 結合以上兩者以及智慧運算 (Intelligent Computing)，能為人
類的生活帶來很大的助益，因此逐漸地受到重視。在環境感知運算領域中，環境

感知基礎 (Context Infrastructure) 被用來降低建造及維護環境感知應用軟
體的花費。過往的環境感知基礎或是環境感知應用軟體，大多針對特定應用環境
底下的特定服務情境而量身建造，所造成的問題是，僅能適用於預設的應用環
境，例如某一特定家庭環境。如果要移到其他家庭環境重新使用，則需要進行大
幅的修改。換句話說，過往的環境感知基礎或是環境感知應用軟體，僅能對於預
設的環境而具有環境感知能力，而無法因應被設置在非預設的環境中。

以上所述，事實上是軟體的部署 (Deploy) 問題。當環境感知基礎需要被部
署 (Deploy) 在其他不同的環境底下時，針對環境的不同而需要進行的完備性維
護 (Perfective Maintenance)，將會帶來大量的花費。造成此種情況的主要理
由為，在過往的環境感知基礎軟體生命周期 (Lifecycle) 中，在建造以及維護
兩階段雖然有了充足的考量，但卻缺乏對於部署階段的考量，而部署階段所應存
在的軟體彈性 (Flexibility) 在建造階段就被固定了。藉由對於一般環境感知
問題的分析，在本論文中，把這些問題，重新歸類到建造階段以及維護階段所應
考量的問題中，避免因為把所有的問題都在建造階段解決，造成軟體彈性的失
去。為了達成此目的，本論文提出了一個階層式的概念模型，作為可呈現適應力
的環境感知基礎 (Adaptive Context Infrastructure) 之核心，同時也提供了
依據此概念模型所建立的可呈現適應力的環境感知基礎架構 (Architecture of

Adaptive Context Infrastructure)，以及分別在智慧型家庭，交通系統進行應
用的兩個實例 (Case Study)。

在本論文所提出的階層式的概念模型下，可呈現適應力的環境感知基礎除了
具備基本的環境感知能力，同時也具有在部署時，可針對目標環境而進行不同配
置 (Configuration) 的能力。例如對於不同的家庭環境，可以利用不同的配置
來適應，甚至當配置在完全不同類型的應用環境，例如交通系統中，仍舊可以適
應。具備以上能力，將使得所提出的可呈現適應力的環境感知基礎不只能適用於
特定的應用環境，比起過往的環境感知基礎，更加符合環境感知的意義。同時由
於可呈現適應力的環境感知基礎利用不同的配置來適應不同的應用環境，因此需

要進行的完備性維護減少，利用環境感知基礎來建立環境感知應用軟體的花費將
因此可以被大幅降低。

An Adaptive Context Infrastructure in Supporting Context-Aware Services

Wei-Chung Hu

Institute of Computer and Communication Engineering

National Cheng Kung University

The popularity of ubiquitous computing and pervasive computing have prompted the proliferation

of context-aware applications. In the context-aware computing domain, context infrastructure is used

to lower the development effort and maintenance cost of context-aware applications. The conventional

context infrastructures are tailored with specific service scenarios in the application environment. Once

the conventional context infrastructure needs to be deployed into another environment, the cost on

perfective maintenance is huge. This work claims the reason is, in conventional context infrastructure

lifecycle, only development phase and usage / maintenance phase are considered, but the deployment

phase is ignored. By analyze the problems a context infrastructure needs to solve, we can redistribute

problems into development phase and deployment phase separately. This results a decoupling of general

context-awareness problem from deployment phase problems. A layered conceptual model is proposed as

the kernel of adaptive context infrastructure. The layered conceptual model not only solves the general

context-awareness problem, but also left well-designed configuration / tuning points for deployment.

Based on the layered conceptual model, we can development an adaptive context infrastructure that can

be deployed in different environment with lower effort.

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