Search results
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GPUnet: Networking Abstractions for GPU Programs
Thursday, August 7, 2014- 12:45pm Sangman Kim, Seonggu Huh, Yige Hu, Xinya Zhang, and Emmett Witchel, The University of Texas at Austin; Amir Wated and Mark Silberstein, Technion—Israel Institute of Technology Despite the popularity of GPUs in high-perfor ...michele - December 21, 2021 - 5:34 pm
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The Mystery Machine: End-to-end Performance Analysis of Large-scale Internet Services
performance observations and apply “big data” techniques to analyze those observations. In this paper, we show ...michele - December 21, 2021 - 3:59 pm
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End-to-end Performance Isolation Through Virtual Datacenters
Thursday, August 7, 2014- 12:45pm Sebastian Angel, The University of Texas at Austin; Hitesh Ballani, Thomas Karagiannis, Greg O’Shea, and Eno Thereska, Microsoft Research The lack of performance isolation in multi-tenant datacenters at appliances like mi ...michele - December 21, 2021 - 3:45 pm
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Simple Testing Can Prevent Most Critical Failures: An Analysis of Production Failures in Distributed Data-Intensive Systems
Thursday, August 7, 2014- 12:45pm Ding Yuan, Yu Luo, Xin Zhuang, Guilherme Renna Rodrigues, Xu Zhao, Yongle Zhang, Pranay U. Jain, and Michael Stumm, University of Toronto Large, production quality distributed systems still fail periodically, and do so so ...michele - December 22, 2021 - 10:02 am
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Shielding Applications from an Untrusted Cloud with Haven
Research Awarded Best Paper Today's cloud computing infrastructure requires substantial trust. Cloud ...michele - December 21, 2021 - 3:52 pm
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Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing
complex workloads with diverse characteristics. This paper presents Apollo, a highly scalable and ... idle system resources gracefully while supplying guaranteed resources when needed. This paper will be ...michele - December 21, 2021 - 3:54 pm
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The Power of Choice in Data-Aware Cluster Scheduling
Thursday, August 7, 2014- 1:45pm Shivaram Venkataraman and Aurojit Panda, University of California, Berkeley; Ganesh Ananthanarayanan, Microsoft Research; Michael J. Franklin and Ion Stoica, University of California, Berkeley Providing timely results in t ...michele - December 21, 2021 - 6:14 pm
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Heading Off Correlated Failures through Independence-as-a-Service
Thursday, August 7, 2014- 1:45pm Ennan Zhai, Yale University; Ruichuan Chen, Bell Labs and Alcatel-Lucent; David Isaac Wolinsky and Bryan Ford, Yale University Today’s systems pervasively rely on redundancy to ensure reliability. In complex multi-layered ...michele - December 22, 2021 - 10:04 am
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Characterizing Storage Workloads with Counter Stacks
Thursday, August 7, 2014- 2:15pm Jake Wires, Stephen Ingram, Zachary Drudi, Nicholas J. A. Harvey, and Andrew Warfield, Coho Data Existing techniques for identifying working set sizes based on miss ratio curves (MRCs) have large memory overheads which mak ...michele - December 22, 2021 - 9:59 am
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Pelican: A Building Block for Exascale Cold Data Storage
Thursday, August 7, 2014- 2:30pm Shobana Balakrishnan, Richard Black, Austin Donnelly, Paul England, Adam Glass, Dave Harper, and Sergey Legtchenko, Microsoft Research; Aaron Ogus, Microsoft; Eric Peterson and Antony Rowstron, Microsoft Research A signifi ...michele - December 21, 2021 - 3:48 pm
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A Self-Configurable Geo-Replicated Cloud Storage System
Thursday, August 7, 2014- 2:30pm Masoud Saeida Ardekani, INRIA and Sorbonne Universités; Douglas B. Terry, Microsoft Research Reconfiguring a cloud storage system can improve its overall service. Tuba is a geo-replicated key-value store that automatically ...michele - December 21, 2021 - 3:47 pm
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f4: Facebook's Warm BLOB Storage System
Thursday, August 7, 2014- 2:45pm Subramanian Muralidhar, Facebook, Inc.; Wyatt Lloyd, University of Southern California and Facebook, Inc.; Sabyasachi Roy, Cory Hill, Ernest Lin, Weiwen Liu, Satadru Pan, Shiva Shankar, and Viswanath Sivakumar, Facebook, I ...michele - December 13, 2021 - 1:39 am
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SAMC: Semantic-Aware Model Checking for Fast Discovery of Deep Bugs in Cloud Systems
Thursday, August 7, 2014- 2:45pm Tanakorn Leesatapornwongsa and Mingzhe Hao, University of Chicago; Pallavi Joshi, NEC Labs America; Jeffrey F. Lukman, Surya University; Haryadi S. Gunawi, University of Chicago The last five years have seen a rise of impl ...michele - December 21, 2021 - 5:37 pm
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SKI: Exposing Kernel Concurrency Bugs through Systematic Schedule Exploration
overheads must be avoided and tools must remain portable as the kernel evolves. In this paper, we propose ...michele - December 21, 2021 - 4:02 pm
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All File Systems Are Not Created Equal: On the Complexity of Crafting Crash-Consistent Applications
Thursday, August 7, 2014- 2:45pm Thanumalayan Sankaranarayana Pillai, Vijay Chidambaram, Ramnatthan Alagappan, Samer Al-Kiswany, Andrea C. Arpaci-Dusseau, and Remzi H. Arpaci-Dusseau, University of Wisconsin—Madison We present the first comprehensive stud ...michele - December 13, 2021 - 1:39 am
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Torturing Databases for Fun and Profit
Thursday, August 7, 2014- 2:45pm Mai Zheng, The Ohio State University; Joseph Tucek, HP Labs; Dachuan Huang and Feng Qin, The Ohio State University; Mark Lillibridge, Elizabeth S. Yang, and Bill W Zhao, HP Labs; Shashank Singh, The Ohio State University ...michele - December 22, 2021 - 10:17 am
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Fast Databases with Fast Durability and Recovery Through Multicore Parallelism
Thursday, August 7, 2014- 3:00pm Wenting Zheng and Stephen Tu, Massachusetts Institute of Technology; Eddie Kohler, Harvard University; Barbara Liskov, Massachusetts Institute of Technology Multicore in-memory databases for modern machines can support ext ...michele - December 22, 2021 - 10:15 am
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Extracting More Concurrency from Distributed Transactions
aborts, leaving many opportunities for concurrency on the table. This paper presents ROCOCO, a novel ...michele - December 21, 2021 - 5:57 pm
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Salt: Combining ACID and BASE in a Distributed Database
Yaghmazadeh, Lorenzo Alvisi, and Prince Mahajan, The University of Texas at Austin This paper presents Salt, ...michele - December 22, 2021 - 10:00 am
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Phase Reconciliation for Contended In-Memory Transactions
Thursday, August 7, 2014- 3:00pm Neha Narula and Cody Cutler, MIT CSAIL; Eddie Kohler, Harvard University; Robert Morris, MIT CSAIL Multicore main-memory database performance can collapse when many transactions contend on the same data. Contending transac ...michele - December 21, 2021 - 6:01 pm
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Eidetic Systems
lineage of state, and we apply these functions via retrospective binary analysis. In this paper we present ...michele - December 21, 2021 - 4:01 pm
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Detecting Covert Timing Channels with Time-Deterministic Replay
and Wenchao Zhou, Georgetown University This paper presents a mechanism called timedeterministic ... timing to within 1.85% of the original execution, even on commodity hardware. The paper discusses several ...michele - December 21, 2021 - 3:57 pm
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Identifying Information Disclosure in Web Applications with Retroactive Auditing
Thursday, August 7, 2014- 3:15pm Haogang Chen, Taesoo Kim, Xi Wang, Nickolai Zeldovich, and M. Frans Kaashoek, MIT CSAIL Rail is a framework for building web applications that can precisely identify inappropriately disclosed data after a vulnerability is ...michele - December 13, 2021 - 1:08 am
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Project Adam: Building an Efficient and Scalable Deep Learning Training System
Thursday, August 7, 2014- 3:15pm Trishul Chilimbi, Yutaka Suzue, Johnson Apacible, and Karthik Kalyanaraman, Microsoft Research Large deep neural network models have recently demonstrated state-of-the-art accuracy on hard visual recognition tasks. Unfortu ...michele - December 13, 2021 - 1:08 am
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Scaling Distributed Machine Learning with the Parameter Server
Thursday, August 7, 2014- 3:30pm Mu Li, Carnegie Mellon University and Baidu; David G. Andersen and Jun Woo Park, Carnegie Mellon University; Alexander J. Smola, Carnegie Mellon University and Google, Inc.; Amr Ahmed, Vanja Josifovski, James Long, Eugene ...michele - December 21, 2021 - 5:39 pm