[Defense] Graph-based, Policy-driven Resource Mapping for Precise Allocations on Diverse Computer Networks
Thursday, July 7, 2022
10:00 am - 11:15 am
will defend his dissertation
Graph-based, Policy-driven Resource Mapping for Precise Allocations on Diverse Computer Networks
Distributed systems encompass a wide variety of compute platforms, serving various computing industries. Shared infrastructure systems, including HPC, cloud, and testbed, provide remote access to network and compute hardware to facilitate web services, compute jobs, research, and a number of other services. Allocation systems perform the mapping of resources between customer specifications and available hardware. Typically, these allocation systems are tailor-built for a particular system or environment with a focus on mapping compute resource. Our research determined a lack of existing allocation system able to represent any networked system and to consider the network resources at the same priority as compute. This research proposes a flexible, graph-based resource description data structure able to express diversity in network topology and device composition. Given this new structure, we designed and implemented two solvers for finding resource mappings between the request and infrastructure networks. Lastly, we implemented eight allocation policies able to consider both requester and infrastructure provider requirements to select optimal network allocations. The achieved allocation system is evaluated through simulation and we provide detailed discussion of the results.
10:00AM - 11:15AM CT
Online via MS Teams
Dr. Deniz Gurkan, dissertation advisor
Faculty, students and the general public are invited.