Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 2004. / Thesis advisor(s): Dale Courtney. Includes bibliographical references (p. 53). Also available online.

Thesis (Ph. D., Computer Science)--University of Idaho, December 6, 2006. / Major professor: Jim Alves-Foss. Includes bibliographical references (leaves 102-109). Also available online (PDF file) by subscription or by purchasing the individual file.

Thesis (Ph. D.)--Michigan State University. Computer Science and Engineering Dept., 2008. / Title from PDF t.p. (viewed on Apr. 8, 2009) Includes bibliographical references (p. 176-184). Also issued in print.

Thesis (Ph. D.)--University of Florida, 2005. / Title from title page of source document. Document formatted into pages; contains 88 pages. Includes vita. Includes bibliographical references.

Thesis (M. Eng.)--Carleton University, 1992. / Also available in electronic format on the Internet.

Thesis (M.S.C.I.T.)--Regis University, Denver, Colo., 2006. / Title from PDF title page (viewed on Dec. 13, 2006). Includes bibliographical references.

Thesis (Ph. D.)--Computing, Georgia Institute of Technology, 2007. / Xu, Jun, Committee Chair ; Ahamad, Mustaque, Committee Member ; Ammar, Mostafa, Committee Member ; Bing, Benny, Committee Member ; Zegura, Ellen, Committee Member.

Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 106-113). Also available in electronic version.

The advent of high-speed networks may soon increase the network bandwidth available to workstation class computers by two orders of magnitude. Combined with the dramatic increase in microprocessor speed, these technological advances make possible new kinds of applications, such as multimedia and parallel computing on networks of workstations. At the same time, the operating system, in its role as mediator and multiplexor of computing resources, is threatening to become a bottleneck. The underlying cause is that main memory performance has not kept up with the growth of CPU and I/O speed, thus opening a bandwidth gap between CPU and main memory, while closing the old gap between main memory and I/O. Current operating systems fail to properly take into account the performance characteristics of the memory subsystem. The trend towards server-based operating systems exacerbates this problem, since a modular OS structure tends to increase pressure on the memory system. This dissertation is concerned with the I/O bottleneck in operating systems, with particular focus on high-speed networking. We start by identifying the causes of this bottleneck, which are rooted in a mismatch of operating system behavior with the performance characteristics of modern computer hardware. Then, traditional approaches to supporting I/O in operating systems are re-evaluated in light of current hardware performance tradeoffs. This re-evaluation gives rise to a set of novel techniques that eliminate the I/O bottleneck.

No description available.