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Increase in the usage of Internet of Things(IoT) devices across physical systems has provided a platform for continuous data collection, real-time monitoring, and extracting useful insights. Limited computing power and constrained resources on the IoT devices has driven the physical systems to rely on external resources such as cloud computing

Increase in the usage of Internet of Things(IoT) devices across physical systems has provided a platform for continuous data collection, real-time monitoring, and extracting useful insights. Limited computing power and constrained resources on the IoT devices has driven the physical systems to rely on external resources such as cloud computing for handling compute-intensive and data-intensive processing. Recently, physical environments have began to explore the usage of edge devices for handling complex processing. However, these environments may face many challenges suchas uncertainty of device availability, uncertainty of data relevance, and large set of geographically dispersed devices. This research proposes the design of a reliable distributed management system that focuses on the following objectives: 1. improving the success rate of task completion in uncertain environments. 2. enhancing the reliability of the applications and 3. support latency sensitive applications. Main modules of the proposed system include: 1. A novel proactive user recruitment approach to improve the success rate of the task completion. 2.Contextual data acquisition and integration of false data detection for enhancing the reliability of the applications. 3. Novel distributed management of compute resources for achieving real-time monitoring and to support highly responsive applications. User recruitment approaches select the devices for offloading computation. Proposed proactive user recruitment module selects an optimized set of devices that match the resource requirements of the application. Contextual data acquisition module banks on the contextual requirements for identifying the data sources that are more useful to the application. Proposed reliable distributed management system can be used as a framework for offloading the latency sensitive applications across the volunteer computing edge devices.
ContributorsCHAKATI, VINAYA (Author) / Gupta, Sandeep K.S (Thesis advisor) / Dasgupta, Partha (Committee member) / Banerjee, Ayan (Committee member) / Pal, Anamitra (Committee member) / Kumar, Karthik (Committee member) / Arizona State University (Publisher)
Created2021
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Description
It is well known that neighborhood contexts form an integral part in shaping development across the lifespan. At the same time, it is recognized that there is variability in the manner with which the neighborhood context is associated with pertinent outcomes, such as mental health and psychological well-being. In this

It is well known that neighborhood contexts form an integral part in shaping development across the lifespan. At the same time, it is recognized that there is variability in the manner with which the neighborhood context is associated with pertinent outcomes, such as mental health and psychological well-being. In this regard, empirical research has differentiated between subjective and objective neighborhood indicators. Midlife is a critical life stage due to middle-aged adults being “sandwiched” between generations and being firmly entrenched in the workforce; in this regard, the neighborhood context could play a role in shaping mental health and psychological well-being in midlife. Of importance is determining which factors account for development in midlife, and whether individuals can find protective factors in order to preserve their health and psychological wellbeing into older adulthood. The purpose of this dissertation was to examine whether and how neighborhood context is associated with mental health and psychological well-being in midlife. The first study examined whether the subjective and objective neighborhood context moderates the impact of monthly adversity on mental health and psychological well-being in midlife. The second study aimed to examine whether and which potentially relevant latent factors exist among subjective and objective neighborhood indicators in a sample of middle-aged adults from the Phoenix Metropolitan area. Taken together, the results of these studies provide evidence that neighborhood context is indeed relevant resource for middle-aged adults. Specifically, in Paper 1, found that individuals who live in neighborhoods with less disorder show fewer steep declines in mental health and well-being in months when an adversity was reported. Paper 2 found that that there are distinct latent constructs that were primarily comprised of factors related to resource and prosperity and financial strain for the objective indicators. For subjective perceptions factors comprised neighborhood insights. These findings contribute to the literature on potential ways in which neighborhood context may serve as a resource and serve as the groundwork for future studies that test mechanisms linking the neighborhood context to mental health and well-being in midlife and inform future intervention studies.
ContributorsStaben, Omar Enrique (Author) / Infurna, Frank J (Thesis advisor) / Sheehan, Connor (Committee member) / White, Rebecca (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2022