More from Master Calendar
- Jul 24All dayUConn Summer Horseback Riding
- Jul 24All dayUConn Summer Horseback Riding
- Jul 24All dayVirtual Interviews via Formal Recruiting ProgramsThis program is intended for rising 2L, 3L, and 4L UConn Law students,
- Jul 249:00 AMDoctoral Dissertation Oral Defense, Jiachen WangAbstractThe Internet of Things (IoT) has emerged as a transformative force in modern technology, enabling connectivity across everyday objects and significantly impacting various industries through the Industrial Internet of Things (IIoT). IIoT integrates industrial assets with information systems and business processes, streamlining manufacturing and optimizing industrial operations. Recent years have seen a shift towards real-time wireless networking (RTWN) technologies due to their deployment ease, mobility, and lower maintenance costs. Despite the widespread adoption of RTWN, challenges persist, particularly in network management. Current RTWN systems often struggle to balance network efficiency with real-time performance. Additionally, the dynamic nature of industrial networks further complicates management, necessitating prompt and adaptive reconfiguration to maintain reliable timing guarantees. To address these challenges, we propose a series of partition-based resource management strategies for RTWN. The first approach focuses on minimizing end-to-end latency by creating adaptive time-dimension resource partitions, which align with different layers of the network routing graph. The second approach introduces a hierarchical resource partition framework, enhancing resource allocation efficiency and reducing reconfiguration overhead by constructing partitions subtree-by-subtree and limiting adjustments to nodes within these subtrees. To support multiple applications with diverse requirements on a shared RTWN infrastructure, we propose a resource virtualization framework. This framework allocates specific resources to each application, ensuring conflict resolution and isolation, thus maintaining seamless operation across applications. To further improve the applicability of the proposed real-time network virtualization framework on dynamic environments, we designed a flexibility-aware resource partitioning framework to construct partitions with predictable performance upon dynamics and maximize the availability.
- Jul 2411:00 AMBusiness Career Development Office | Drop-In HoursVirtual drop in hours (https://career.business.uconn.edu/undergraduate/appointment/) are Monday-Friday via Nexus. You can also make an appointment (https://career.business.uconn.edu/undergraduate/appointment/) with one of our career counselors or email your career questions to recruit@business.uconn.edu. (mailto:recruit@business.uconn.edu)
- Jul 2411:00 AMBusiness Career Development Office | Drop-In HoursVirtual drop in hours (https://career.business.uconn.edu/undergraduate/appointment/) are Monday-Friday via Nexus. You can also make an appointment (https://career.business.uconn.edu/undergraduate/appointment/) with one of our career counselors or email your career questions to recruit@business.uconn.edu. (mailto:recruit@business.uconn.edu)