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Books and Theses
- 2017
[b1]Deniz Altinbüken:
Building Evolvable Distributed Systems for Dynamic Data Center Environments. Cornell University, USA, 2017
Journal Articles
- 2023
- [j3]Lyric Doshi
, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser:
Kepler: Robust Learning for Parametric Query Optimization. Proc. ACM Manag. Data 1(1): 109:1-109:25 (2023) - 2016
- [j2]Deniz Altinbüken, Robbert van Renesse:
Ovid: A Software-Defined Distributed Systems Framework to support Consistency and Change. IEEE Data Eng. Bull. 39(1): 65-80 (2016) - 2015
- [j1]Robbert van Renesse, Deniz Altinbuken:
Paxos Made Moderately Complex. ACM Comput. Surv. 47(3): 42:1-42:36 (2015)
Conference and Workshop Papers
- 2023
- [c5]Zhenyu Song, Kevin Chen, Nuikhil Sarda, Deniz Altinbüken, Eugene Brevdo, Jimmy Coleman, Xiao Ju, Pawel Jurczyk, Richard Schooler, Ramki Gummadi:
HALP: Heuristic Aided Learned Preference Eviction Policy for YouTube Content Delivery Network. NSDI 2023: 1149-1163 - [c4]Sishuai Gong, Dinglan Peng, Deniz Altinbüken, Pedro Fonseca, Petros Maniatis:
Snowcat: Efficient Kernel Concurrency Testing using a Learned Coverage Predictor. SOSP 2023: 35-51 - 2021
- [c3]Sishuai Gong, Deniz Altinbüken, Pedro Fonseca, Petros Maniatis:
Snowboard: Finding Kernel Concurrency Bugs through Systematic Inter-thread Communication Analysis. SOSP 2021: 66-83 - 2016
- [c2]Deniz Altinbüken, Robbert van Renesse:
Ovid: A Software-Defined Distributed Systems Framework. HotCloud 2016 - 2009
- [c1]Emre Atsan, Deniz Altinbuken, Öznur Özkasap:
SCALAR data replication performance in mobile ad hoc applications. ISCIS 2009: 369-374
Editorship
- 2022
- [e1]Ada Gavrilovska, Deniz Altinbüken, Carsten Binnig:
Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, San Francisco, California, November 7-11, 2022. ACM 2022, ISBN 978-1-4503-9414-7 [contents]
Informal and Other Publications
- 2024
- [i3]Kensen Shi, Deniz Altinbüken, Saswat Anand, Mihai Christodorescu, Katja Grünwedel, Alexa Koenings, Sai Naidu, Anurag Pathak, Marc Rasi, Fredde Ribeiro, Brandon Ruffin, Siddhant Sanyam, Maxim Tabachnyk, Sara Toth, Roy Tu, Tobias Welp, Pengcheng Yin, Manzil Zaheer, Satish Chandra, Charles Sutton:
Natural Language Outlines for Code: Literate Programming in the LLM Era. CoRR abs/2408.04820 (2024) - 2023
- [i2]Lyric Doshi, Vincent Zhuang, Gaurav Jain, Ryan Marcus, Haoyu Huang, Deniz Altinbüken, Eugene Brevdo, Campbell Fraser:
Kepler: Robust Learning for Faster Parametric Query Optimization. CoRR abs/2306.06798 (2023) - 2020
- [i1]Hussam Abu-Libdeh, Deniz Altinbüken, Alex Beutel, Ed H. Chi, Lyric Doshi, Tim Kraska, Xiaozhou Li, Andy Ly, Christopher Olston:
Learned Indexes for a Google-scale Disk-based Database. CoRR abs/2012.12501 (2020)
Coauthor Index
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