자료유형  

 학위논문

Control Number  

0016934144

International Standard Book Number  

9798380616607

Dewey Decimal Classification Number  

004

Main Entry-Personal Name  

Saquib, Nazmus.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of California, Santa Barbara., 2023

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2023

Physical Description  

1 online resource(162 p.)

General Note  

Source: Dissertations Abstracts International, Volume: 85-04, Section: B.

General Note  

Advisor: Krintz, Chandra;Wolski, Rich.

Dissertation Note  

Thesis (Ph.D.)--University of California, Santa Barbara, 2023.

Restrictions on Access Note  

This item must not be sold to any third party vendors.

Summary, Etc.  

요약Modern Internet of Things (IoT) deployments are geo-distributed and comprise various devices and architectures. The ever-increasing pervasiveness of IoT has led to the popularity of multi-tier (cloud/edge/sensor) architectures. However, the data interaction among the devices of the different tiers is fraught with various and often related challenges. For starters, these devices are vastly heterogeneous. On one end, we have cloud devices with high computing and storage capacities; on the other, we have resource-constrained microcontrollers and sensors. Due to the nature of the deployment of end devices, i.e., microcontrollers and sensors, stable network connectivity is often inaccessible to them. Unreliable power sources add complexity to the already challenging environment of end devices. Hence, we need novel approaches to create robust, fault-tolerant IoT deployments by negotiating these challenges.To that end, we employ a three-pronged approach to make distributed IoT systems reliable and fault-tolerant. First, we propose leveraging versioned data structures to track the evolution and efficient querying/modification of data. As versioned data structures retain the past states, we can record the data lineage, which we can later use for system debugging and root cause analysis. Second, we propose a novel replication method that reduces coordination overhead. As IoT environments are failure-prone, protocols requiring more coordination can result in multiple stop-start scenarios, thus wasting energy in environments already in short supply. Finally, we explore an energy-efficient, energy-conscious way of making data tamper-proof. Tamper-proofing gives us confidence in the veracity of data and provides a way to detect faulty or malicious devices in the system.We empirically evaluate our methodology through various real-world IoT applications. Our results show that data versioning can lead to efficient temporal queries and historical data retention that is useful for debugging IoT applications and deployments. Moreover, experimental results on replicating versioned data using our proposed protocol demonstrate better throughput and overall better latency than existing protocols with similar consistency guarantees. Finally, our proof-of-concept system for tamper-proof data management shows it is feasible to create a renewable-energy-aware system that ensures data trustworthiness in an energy efficient way. Hence, we conclude that we can leverage data versioning and replication to create the next generation of distributed, reliable, fault-tolerant IoT systems.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Computer engineering.

Subject Added Entry-Topical Term  

Information technology.

Index Term-Uncontrolled  

Internet of Things

Index Term-Uncontrolled  

Data

Index Term-Uncontrolled  

Data structures

Index Term-Uncontrolled  

Debugging

Index Term-Uncontrolled  

Devices

Added Entry-Corporate Name  

University of California, Santa Barbara Computer Science

Host Item Entry  

Dissertations Abstracts International. 85-04B.

Host Item Entry  

Dissertation Abstract International

Electronic Location and Access  

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Control Number  

joongbu:641250