Date of Completion
8-3-2015
Embargo Period
8-2-2016
Keywords
Underwater, Architectures, Pipeline, Parallel
Major Advisor
Reda Ammar
Associate Advisor
Sanguthevar Rajasekaran
Associate Advisor
Song Han
Field of Study
Computer Science and Engineering
Degree
Doctor of Philosophy
Open Access
Campus Access
Abstract
Archival abstract submitted
Recommended Citation
Alharbi, Ayman, "Efficient Pipeline Architectures for Underwater Big Data Analytics" (2015). Doctoral Dissertations. 805.
https://digitalcommons.lib.uconn.edu/dissertations/805
COinS