智能影子 : 普适计算模型与方法

1 SmartShadow Model

1.1 Introduction

1.2 SmartShadow: An Overview

1.2.1 PersonalityShadow: Model of People's Life

1.2.2 ServiceShadow: User-Centered Virtual Space

1.3 Semantics in SmartShadow

1.3.1 Basic Concepts

1.3.2 Models and Systems in Pervasive Computing

1.3.3 Semantic Issues in SmartShadow

1.4 Modeling Human Personalities

1.4.1 Low-Level Personal Information

1.4.2 Mid-Level Personal Information

1.4.3 High-Level Personal Information: BDP Model

1.5 Modeling Computing Environments

1.6 Planning for a Virtual Service Space: ServiceShadow

1.7 Conclusion

References

2 Task Migration in SmartShadow

2.1 Introduction

2.2 Related Work

2.3 Task Migration Challenges

2.3.1 Scenario: Watching Movie

2.4 Task Model in SmartShadow

2.4.1 Modeling Task Process

2.4.2 Describing a Primitive Task

2.5 Context-Aware Task-to-Service Mapping

2.5.1 Semantic Service Filtering

2.5.2 Satisfaction Measurement for Task-Oriented Matching

2.5.3 Task-to-Service Mapping Algorithm

2.6 TaskShadow: An OSGi-Based Implementation

2.7 Evaluation

2.7.1 Performance of Task-to-Service Mapping

2.7.2 Time Cost for Task Migration of "Watch Movie".

2.8 Conclusion

References

3 Context-Awareness in SmartShadow

3.1 Introduction

3.2 Hierarchical Context Model

3.2.1 Context Atom Layer

3.2.2 Context Situation Layer

3.3 ScudContext: Large-Scale Environmental Context Services

3.3.1 Context Management

3.3.2 The ScudContext Infrastructure

3.4 ScudCORE: Context-Driven Reasoning Engine

3.4.1 Context-Driven Reasoning in Pervasive Computing

3.4.2 ScudCORE Architecture

3.4.3 Context-Driven Mechanism

3.5 Conclusion

References

4 File Modeling in SmartShadow

4.1 Introduction

4.2 Related Work

4.3 Modeling Files with Context Streams

4.3.1 Context Stream: Dynamics of Contexts

4.3.2 Modeling Files with Context Stream

4.4 ScudFile: A Meta File System with Context Streams

4.4.1 Architecture of the ScudFile

4.4.2 An MS-Windows-Based Implementation

4.5 Applications

4.5.1 File Browsing with Context Stream

4.5.2 File Searching with Context Stream

4.5.3 File Recommending with Context Stream

4.6 Evaluation

4.6.1 Time Cost

4.6.2 Usability Test

4.7 Conclusion

References

5 SeudWare: Software Infrastructure for SmartShadow

5.1 Introduction

5.2 ScudWare Architecture

5.3 Semantic Virtual Agents

5.3.1 SVA Definition

5.3.2 SIP Definition

5.4 Semantic Context Management Service

5.4.1 Semantic View for Context

5.4.2 Ontology of SmartShadow Space

5.4.3 Semantic Context Service Functional Modules

5.5 Adaptive Component Management Service

5.5.1 Resource Abstract

5.5.2 ACMS Functionality

5.5.3 Component Interdependence Graph

5.5.4 Run-Time Component Hook Proxy

5.6 Conclusion

References

6 Smart Car Space: An Application

6.1 Introduction

6.2 Smart Car Space: A Framework

6.3 Context Modeling in Smart Car Space

6.3.1 Context Atoms

6.3.2 Complex Context

6.4 Driver Behavior Modeling in Smart Car Space

6.4.1 Comfortable and Safe Driver Behavior Model of Car-Following

6.4.2 Multitasking Driver Behavior Model for Smart Car Space

6.5 Prototype

6.5.1 Network Infrastructure

6.5.2 Software Infrastructure

6.5.3 In-Car Space

6.5.4 Services of Smart Car Space

6.6 Conclusion

References

Index

SmartShadow: Models and Methods for Pervasive Computing offers a new perspective on pervasive computing with SmartShadow, which is designed to model a user as a personality “shadow” and to model pervasive computing environments as user-centric dynamic virtual personal spaces. Just like human beings' shadows in the physical world, it follows people wherever they go, providing them with pervasive services. The model, methods, and software infrastructure for SmartShadow are presented and an application for smart cars is also introduced.
　　The book can serve as a valuable reference work for researchers and graduate students in the field of pervasive/ubiquitous computing.Zhaohui Wu is a Professor at Zhejiang University, Hangzhou, China.Gang Pan is a Professor at the same institute.

《智能影子：普适计算模型与方法》重点描述一种新型的普适计算理论：智能影子模型及其方法。智能影子是一个以人为中心的高度变化的虚拟个性化智能空间，像用户的影子一样跟随着用户，实现环境自适应与用户自适应的普适服务。主要包括智能影子模型、智能影子中的任务迁移、智能影子中的情境感知机制、智能影子中的文件建模方法、支持智能影子的软件平台、智能影子在智能汽车中的应用等。