Date of Award
January 2016
Degree Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Computer Science
First Advisor
Ananth Y Grama
Committee Member 1
Dongyan Xu
Committee Member 2
Sonia Fahmy
Committee Member 3
Mathias Payer
Committee Member 4
Aniket Kate
Abstract
The success of modern applications depends on the insights they collect from their data repositories. Data repositories for such applications currently exceed exabytes and are rapidly increasing in size, as they collect data from varied sources - web applications, mobile phones, sensors and other connected devices. Distributed storage and data-centric compute frameworks have been invented to store and analyze these large datasets. This dissertation focuses on extending the applicability and improving the efficiency of distributed data-centric compute frameworks.
Recommended Citation
Kambatla, Karthik Shashank, "Methods to Improve Applicability and Efficiency of Distributed Data-Centric Compute Frameworks" (2016). Open Access Dissertations. 1379.
https://docs.lib.purdue.edu/open_access_dissertations/1379