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A metaverse for the Internet of Things
Xue, Fan
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https://hdl.handle.net/2142/125836
Description
- Title
- A metaverse for the Internet of Things
- Author(s)
- Xue, Fan
- Issue Date
- 2024-07-17
- Director of Research (if dissertation) or Advisor (if thesis)
- Caesar, Matthew
- Department of Study
- Computer Science
- Discipline
- Computer Science
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- M.S.
- Degree Level
- Thesis
- Keyword(s)
- Internet of Things (IoT)
- metaverse
- prototyping environment
- Abstract
- The Internet of Things (IoT) forms the foundation behind many critical domains and intertwines with every aspect of our lives; consequently, it is crucial for individuals to understand IoT. However, comprehending IoT systems is not straightforward, as these systems are extremely complex due to the amount of required domain knowledge, their intricate dependencies, their vast sales and complexities, their complicated failure models, and their hard-to-reach deployment environment. How can we address this problem? Humans learn and understand things by experiencing and interacting with them. Other fields use metaverses to gain deeper visibility and directly engage with the technologies they need to understand. Therefore, we revisit the fundamental approach of understanding IoT systems, and ask the question of whether we can adapt the concept of a metaverse to enhance our comprehension of these systems. This thesis seeks to answer this question by proposing the design of an architecture for an IoT metaverse, which integrates physical environmental factors into modeling IoT deployment, manages metaverse user interactions in perceived real-time, and provides enhanced visibility into IoT systems, enabling a broader audience to understand them comfortably. Our approach leverages joint analysis and co-execution of hardware, software, and environment abstractions, along with user-centric coordination and synchronization algorithms, to provide its core functions. Additionally, we define a collection of concepts that will allow for stronger formalism in interactions within the IoT metaverse and evaluate our architecture’s ability to support practical workflows through a case study. Based on an implementation and experimental evaluation, we found that 93% of users improved their understanding with our approach, and 97% adapted easily to gaining understanding within this environment. Additionally, our approach demonstrated scalability with minimal overhead in extreme load tests.
- Graduation Semester
- 2024-08
- Type of Resource
- Thesis
- Handle URL
- https://hdl.handle.net/2142/125836
- Copyright and License Information
- Copyright 2024 Fan Xue
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Graduate Dissertations and Theses at Illinois PRIMARY
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