David Essary graduated Magna Cum Laude from the University of Pittsburgh in the spring of 2003. He graduated with a BS in Computer Science and a BS in Mathematics. He returned to Pitt the following semester, and completed his PhD with the Department of Computer Science in April of 2011.
Back to top
Research Interests
Research interests include intelligent grouping for purposes of caching, disk management, data layout, and power and latency reduction. Throughout my graduate study, it has been my great pleasure and privilege to work under Dr. Ahmed Amer on the Pitt SRG Team, where we worked on aggressive replication and reorganization strategies for disk management.
My other interests include intelligent game play and machine learning algorithms.
Back to top
Teaching
I am currently not teaching or grading.
A guide to previous semester(s)'s page(s) may be viewed here.
Back to top
Academia Novus
- David Essary, Ahmed Amer, "Managing a Sustainable Predictive Data Storage Engine for Energy and Performance," ACM Transactions on Storage. Submission pending.
- David Essary, Ahmed Amer, "E ffective Block-Level Predictive Metadata: Efficient and Complete Tracking of Block Accesses with SESH," IEEE Transactions on Computing. Submission pending.
- David Essary, Ahmed Amer, "Sustainable Predictive Storage Management: On-line Grouping for Energy and Latency Reduction," International Systems and Storage Conference (SYSTOR 2011). Accepted for publication March 2011.
- David Essary, Ahmed Amer, "Avoiding State-space Explosion of Predictive Metadata with SESH," International Performance Computing and Communications Conference (IPCCC) 2009. Phoenix, Arizona, December 2009.