VTechWorks staff will be away for the winter holidays starting Tuesday, December 24, 2024, through Wednesday, January 1, 2025, and will not be replying to requests during this time. Thank you for your patience, and happy holidays!

Browsing by Author "Julien, Christine"

Now showing 1 - 2 of 2
  • Thumbnail Image
    Seed Grant Programs to Promote Community Transformation in Higher Education Institutions
    Fleming, Gabriella Coloyan; Cobb, Sydni Alexa; Watson, Del; Boklage, Audrey; Borrego, Maura; Contreras, Lydia; Julien, Christine (MDPI, 2024-10-16)
    Used in higher education for many decades, seed grants are now beginning to be applied as a strategy to advance diversity, equity and inclusion goals, including rebuilding community post-pandemic. There is little research on the effectiveness of seed grants for such communal goals. This work is innovative in two key ways. First, these seed grants focus on promoting a strong sense of community at the institution rather than promoting individual investigators and research projects. Second, engaging students and staff as principal investigators (PIs) disrupts power structures in the academy. We present a systematic analysis of seed grant project reports (n = 45) and survey data (n = 56) from two seed grant programs implemented at the same institution. A diverse set of projects was proposed and funded. Projects had a positive impact on awardees and their departments and colleges. Seed grant program activities were successful at building community among awardees and recognizing individual efforts. Most noteworthy are the career development opportunities for graduate students, postdocs and staff, which are afforded by changes to PI eligibility. We conclude that seed grant programs have the potential for organizational learning and change around community building in higher education.
  • Thumbnail Image
    Self-Adaptive Edge Services: Enhancing Reliability, Efficiency, and Adaptiveness under Unreliable, Scarce, and Dissimilar Resources
    Song, Zheng (Virginia Tech, 2020-05-27)
    As compared to traditional cloud computing, edge computing provides computational, sensor, and storage resources co-located with client requests, thereby reducing network transmission and providing context-awareness. While server farms can allocate cloud computing resources on demand at runtime, edge-based heterogeneous devices, ranging from stationary servers to mobile, IoT, and energy harvesting devices are not nearly as reliable and abundant. As a result, edge application developers face the following obstacles: 1) heterogeneous devices provide hard-to-access resources, due to dissimilar capabilities, operating systems, execution platforms, and communication interfaces; 2) unreliable resources cause high failure rates, due to device mobility, low energy status, and other environmental factors; 3) resource scarcity hinders the performance; 4) the dissimilar and dynamic resources across edge environments make QoS impossible to guarantee. Edge environments are characterized by the prevalence of equivalent functionalities, which satisfy the same application requirements by different means. The thesis of this research is that equivalent functionalities can be exploited to improve the reliability, efficiency, and adaptiveness of edge-based services. To prove this thesis, this dissertation comprises three key interrelated research thrusts: 1) create a system architecture and programming support for providing edge services that run on heterogeneous and ever changing edge devices; 2) introduce programming abstractions for executing equivalent functionalities; 3) apply equivalent functionalities to improve the reliability, efficiency, and adaptiveness of edge services. We demonstrate how the connected devices with unreliable, dynamic, and scarce resources can automatically form a reliable, adaptive, and efficient execution environment for sensing, computing, and other non-trivial tasks. This dissertation is based on 5 conference papers, presented at ICDCS'20, ICWS'19, EDGE'19, CLOUD'18, and MobileSoft'18