Title | Personal Data Management in the Internet of Things |
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Tags | Buy The Future |
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Language | English |
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File Size | 2.4 MB |
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Total Pages | 169 |
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Table of Contents
List of Tables
List of Figures
Introduction
Introduction
Goals
Our Vision
Technical Challenges
Contributions
Chapter Summary
Related Work
Providing Data-Driven Applications
Service-provider Approach
Home PC-based Approach
Personal Data Storage
Personal Data Storage With Limited Computation
Personal VEE
Providing Data Storage and Integrity
Leveraging Untrusted Remote Storage
Storing Data Across Devices
Other Systems
Hosting Large Numbers of Personal VEEs
Virtualization Approaches
High Density Hosting
Just-in-time Provisioning of VEEs
Chapter Summary
Leveraging Personal VEEs for Energy Data Analytics
Introduction
System Architecture
Gateway
VHome
Applications
User Interfaces
Implementation Details
Gateway
VHome
Sample Applications
Evaluation
Discussion
Chapter Summary
A Storage System for Sensor Data
Introduction
Design Requirements
Example Applications
Data Management Requirements
Design Overview
Security Assumptions and Guarantees
Key Techniques
Bolt Design
APIs
Writing Stream Data
Uploading Stream Data
Granting and Revoking Read Access
Reading Stream Data
Implementation
Evaluation
Microbenchmarks
Applications
Discussion
Chapter Summary
Provisioning Large Numbers of Personal VEEs
Introduction
Problem and Model Formulation
Reactive Policies
Proactive Policies
Obtaining Model Parameters
LXC as a Case Study
Experimental Setup
Quantifying Density
Impact of Density on Transition Time
Deriving the Model Parameters
Policy Comparison Setup
Simulator Design and Implementation
Policy Implementations
Workload Analysis
Metric
Simulation Results
Fixed Inter-arrival Time, Fixed Duration Workload
Stochastic Inter-arrival Time, Fixed Duration Workload
Stochastic Inter-arrival Time, Stochastic Duration Workload
Summary of Simulation Results
Characterizing the Policy Space
Discussion
Chapter Summary
Towards Tussle Based Operating Systems
Introduction
Design Goals
Architecture Outline
Design Challenges
Applications' Sensor Data Requirements
Users' Data Privacy Requirements
Tussle Resolution
Resolution Enforcement
Discussion
Prior Work
Open Problems
Chapter Summary
Conclusion and Future Work
Summary and Contributions
Future Work
Tussle Framework for IoT
Virtualization for High Density Hosting
Storage Cost Optimization for Time-Series Data
Control Architecture for IoT
Semantic Isolation of Applications
Concluding Remarks
References