Modern day high performance computing (HPC) clusters and data centers require a large number of computing and storage elements to be interconnected. Interconnect performance is considered a major bottleneck to the overall performance of such systems. Due to the massive scale of the network, interconnect designs are often evaluated and compared through models. My research is focused on developing scalable yet accurate methods to model large-scale interconnections and their architectural components. Such models are applied to investigate the performance characteristics of different components of interconnect systems including the topology, the routing scheme, and the network control/management scheme. Then, through multiple experimental studies, I apply the newly developed modeling techniques to evaluate the performance of novel interconnects technologies and thus, validate the case for their adoptions in the current and future generation of interconnected systems. / A Dissertation submitted to the Department of Computer Science in partial fulfillment of the requirements for the degree of Doctor of Philosophy. / Spring Semester 2018. / April 18, 2018. / data center network, high performance computing, Interconnection, performance modeling, routing, topology / Includes bibliographical references. / Xin Yuan, Professor Directing Dissertation; Fengfeng Ke, University Representative; Sudhir Aggarwal, Committee Member; Robert van Engelen, Committee Member; Scott Pakin, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_653471 |
| Contributors | Mollah, Md Atiqul Islam (author), Yuan, Xin (professor directing dissertation), Ke, Fengfeng (university representative), Aggarwal, Sudhir (committee member), van Engelen, Robert A. (committee member), Florida State University (degree granting institution), College of Arts and Sciences (degree granting college), Department of Computer Science (degree granting departmentdgg) |
| Publisher | Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text, doctoral thesis |
| Format | 1 online resource (113 pages), computer, application/pdf |
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