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ORCIDRandal C. Burns
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- affiliation: Johns Hopkins University, Department of Computer Science, Baltimore, MD, USA
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2020 – today
- 2024
[c81]Robert Underwood
, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
EvoStore: Towards Scalable Storage of Evolving Learning Models. HPDC 2024: 148-159- [c80]Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns:
T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure. ICDE 2024: 1792-1804 - [c79]Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns:
Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) 2024: 482-485 - [c78]Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu:
CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. PPoPP 2024: 348-363 - [i32]Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns:
Edge-Parallel Graph Encoder Embedding. CoRR abs/2402.04403 (2024) - [i31]Brian Wheatman, Meghana Madhyastha, Randal C. Burns:
Masked Matrix Multiplication for Emergent Sparsity. CoRR abs/2402.14118 (2024) - 2023
- [c77]Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu:
Optimizing Search Layouts in Packed Memory Arrays. ALENEX 2023: 148-161 - [c76]Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357 - [c75]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC 2023: 97-106 - [c74]Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae:
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS 2023: 133-143 - [i30]Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu:
CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. CoRR abs/2305.05055 (2023) - [i29]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR abs/2309.12576 (2023) - 2022
- [i28]Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - 2021
- [c73]Brian Wheatman, Randal C. Burns:
Streaming Sparse Graphs using Efficient Dynamic Sets. IEEE BigData 2021: 284-294 - [c72]Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns:
BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. KDD 2021: 1170-1179 - 2020
- [j24]Tyler M. Tomita, James Browne, Cencheng Shen, Jaewon Chung, Jesse Patsolic, Benjamin Falk, Carey E. Priebe, Jason Yim, Randal C. Burns, Mauro Maggioni, Joshua T. Vogelstein:
Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 21: 104:1-104:39 (2020) - [c71]Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe:
Geodesic Forests. KDD 2020: 513-523 - [i27]Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns:
PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment. CoRR abs/2011.05383 (2020)
2010 – 2019
- 2019
- [c70]Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns:
Agni: An Efficient Dual-access File System over Object Storage. SoCC 2019: 390-402 - [c69]Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns:
The Case for Dual-access File Systems over Object Storage. HotStorage 2019 - [c68]James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns:
Forest Packing: Fast Parallel, Decision Forests. SDM 2019: 46-54 - [i26]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
clusterNOR: A NUMA-Optimized Clustering Framework. CoRR abs/1902.09527 (2019) - [i25]Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein:
Geodesic Learning via Unsupervised Decision Forests. CoRR abs/1907.02844 (2019) - [i24]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR abs/1907.03335 (2019) - [i23]Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns:
Towards Marrying Files to Objects. CoRR abs/1908.11780 (2019) - 2018
- [j23]Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann:
Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. 120: 115-126 (2018) - [c67]Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns:
Building NDStore Through Hierarchical Storage Management and Microservice Processing. eScience 2018: 223-233 - [c66]Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
FlashR: parallelize and scale R for machine learning using SSDs. PPoPP 2018: 183-194 - [i22]James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein:
Forest Packing: Fast, Parallel Decision Forests. CoRR abs/1806.07300 (2018) - 2017
- [j22]David Grant Colburn Hildebrand, Marcelo Cicconet, Russel Miguel Torres, Woohyuk Choi, Tran Minh Quan, Jungmin Moon, Arthur W. Wetzel, Andrew Scott Champion, Brett J. Graham, Owen Randlett, George S. Plummer, Ruben Portugues, Isaac Henry Bianco, Stephan Saalfeld, Alexander D. Baden, Kunal Lillaney, Randal C. Burns, Joshua T. Vogelstein, Alexander Schier, Wei-Chung Allen Lee, Won-Ki Jeong, Jeff William Lichtman, Florian Engert:
Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 545(7654): 345-349 (2017) - [j21]Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. 28(5): 1470-1483 (2017) - [c65]Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns:
knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. HPDC 2017: 67-78 - [c64]Stephen Hamilton, Randal C. Burns, Charles Meneveau, Perry Johnson, Peter Lindstrom, John Patchett, Alexander S. Szalay:
Extreme Event Analysis in Next Generation Simulation Architectures. ISC 2017: 277-293 - 2016
- [i21]Da Zheng, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay:
An SSD-based eigensolver for spectral analysis on billion-node graphs. CoRR abs/1602.01421 (2016) - [i20]Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR abs/1602.02864 (2016) - [i19]Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. CoRR abs/1604.06414 (2016) - [i18]Disa Mhembere, Da Zheng, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns:
NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. CoRR abs/1606.08905 (2016) - 2015
- [j20]Kalin Kanov, Randal C. Burns, Cristian Constantin Lalescu, Gregory L. Eyink:
The Johns Hopkins Turbulence Databases: An Open Simulation Laboratory for Turbulence Research. Comput. Sci. Eng. 17(5): 10-17 (2015) - [j19]William R. Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein, Priya Manavalan, Kunal Lillaney, Michael J. Pekala, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager:
An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 9: 20 (2015) - [c63]William R. Gray Roncal, Michael J. Pekala, Verena Kaynig-Fittkau, Dean M. Kleissas, Joshua T. Vogelstein, Hanspeter Pfister, Randal C. Burns, R. Jacob Vogelstein, Mark A. Chevillet, Gregory D. Hager:
VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. BMVC 2015: 81.1-81.13 - [c62]Zaoxing Liu, Nikita Ivkin, Lin Yang, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal C. Burns, Xin Wang:
Streaming Algorithms for Halo Finders. e-Science 2015: 342-351 - [c61]Kalin Kanov, Randal C. Burns, Cristian Constantin Lalescu:
Efficient evaluation of threshold queries of derived fields in a numerical simulation database. EDBT 2015: 301-312 - [c60]Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay:
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. FAST 2015: 45-58 - [c59]Kalin Kanov, Randal C. Burns:
Particle tracking in open simulation laboratories. SC 2015: 43:1-43:11 - [i17]Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns:
Gradient-Domain Fusion for Color Correction in Large EM Image Stacks. CoRR abs/1506.02079 (2015) - [i16]Da Zheng, Randal C. Burns, Alexander S. Szalay:
Optimize Unsynchronized Garbage Collection in an SSD Array. CoRR abs/1506.07566 (2015) - 2014
- [e2]Eliezer Dekel, Randal C. Burns, Roy Friedman:
International Conference on Systems and Storage, SYSTOR 2014, Haifa, Israel, June 30 - July 02, 2014. ACM 2014, ISBN 978-1-4503-2920-0 [contents] - [i15]Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Ming Chuang, Priya Manavalan, Dean Kleissas, Joshua T. Vogelstein, R. Jacob Vogelstein, Randal C. Burns, Jeff W. Lichtman, Michael M. Kazhdan:
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes. CoRR abs/1404.4800 (2014) - [i14]Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan:
Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data. CoRR abs/1405.1965 (2014) - [i13]Da Zheng, Disa Mhembere, Randal C. Burns, Alexander S. Szalay:
FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. CoRR abs/1408.0500 (2014) - [i12]William R. Gray Roncal, Dean Kleissas, Joshua T. Vogelstein, Priya Manavalan, Randal C. Burns, R. Jacob Vogelstein, Carey E. Priebe, Mark A. Chevillet, Gregory D. Hager:
An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. CoRR abs/1411.6880 (2014) - [i11]Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe:
Active Community Detection in Massive Graphs. CoRR abs/1412.8576 (2014) - 2013
- [j18]Gregory L. Eyink, Ethan Vishniac, Cristian Constantin Lalescu, Hussein Aluie, Kalin Kanov, Kai Bürger, Randal C. Burns, Charles Meneveau, Alexander S. Szalay:
Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence. Nat. 497(7450): 466-469 (2013) - [c58]Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns:
Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP 2013: 297-300 - [c57]William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean M. Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein:
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. GlobalSIP 2013: 313-316 - [c56]Da Zheng, Randal C. Burns, Alexander S. Szalay:
Toward millions of file system IOPS on low-cost, commodity hardware. SC 2013: 69:1-69:12 - [c55]Daniel Crankshaw, Randal C. Burns, Bridget Falck, Tamas Budavari, Alexander S. Szalay, Jie Wang:
Inverted indices for particle tracking in petascale cosmological simulations. SSDBM 2013: 25:1-25:10 - [c54]Randal C. Burns, Kunal Lillaney, Daniel R. Berger, Logan Grosenick, Karl Deisseroth, R. Clay Reid, William R. Gray Roncal, Priya Manavalan, Davi Bock, Narayanan Kasthuri, Michael M. Kazhdan, Stephen J. Smith, Dean Kleissas, Eric A. Perlman, Kwanghun Chung, Nicholas C. Weiler, Jeff Lichtman, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein:
The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM 2013: 27:1-27:11 - [i10]Randal C. Burns, William R. Gray Roncal, Dean Kleissas, Kunal Lillaney, Priya Manavalan, Eric A. Perlman, Daniel R. Berger, Davi Bock, Kwanghun Chung, Logan Grosenick, Narayanan Kasthuri, Nicholas C. Weiler, Karl Deisseroth, Michael M. Kazhdan, Jeff Lichtman, R. Clay Reid, Stephen J. Smith, Alexander S. Szalay, Joshua T. Vogelstein, R. Jacob Vogelstein:
The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR abs/1306.3543 (2013) - [i9]Michael M. Kazhdan, Randal C. Burns, Bobby Kasthuri, Jeff Lichtman, R. Jacob Vogelstein, Joshua T. Vogelstein:
Gradient-Domain Processing for Large EM Image Stacks. CoRR abs/1310.0041 (2013) - [i8]Disa Mhembere, William R. Gray Roncal, Daniel L. Sussman, Carey E. Priebe, Rex E. Jung, Sephira Ryman, R. Jacob Vogelstein, Joshua T. Vogelstein, Randal C. Burns:
Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR abs/1312.4318 (2013) - [i7]William R. Gray Roncal, Zachary H. Koterba, Disa Mhembere, Dean Kleissas, Joshua T. Vogelstein, Randal C. Burns, Anita R. Bowles, Dimitrios K. Donavos, Sephira Ryman, Rex E. Jung, Lei Wu, Vince D. Calhoun, R. Jacob Vogelstein:
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. CoRR abs/1312.4875 (2013) - 2012
- [c53]Osama Khan, Randal C. Burns, James S. Plank, William Pierce, Cheng Huang:
Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads. FAST 2012: 20 - [c52]Da Zheng, Randal C. Burns, Alexander S. Szalay:
A Parallel Page Cache: IOPS and Caching for Multicore Systems. HotStorage 2012 - [c51]Kalin Kanov, Randal C. Burns, Gregory L. Eyink, Charles Meneveau, Alexander S. Szalay:
Data-intensive spatial filtering in large numerical simulation datasets. SC 2012: 60 - 2011
- [j17]Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Osama Khan, Lea Kissner, Zachary N. J. Peterson, Dawn Song:
Remote data checking using provable data possession. ACM Trans. Inf. Syst. Secur. 14(1): 12:1-12:34 (2011) - [c50]Xiaodan Wang, Christopher Olston, Anish Das Sarma, Randal C. Burns:
CoScan: cooperative scan sharing in the cloud. SoCC 2011: 11 - [c49]Paul T. Stanton, Randal C. Burns:
APR-Quad: an update efficient authenticated dictionary for spatial data. SPRINGL 2011: 41-48 - [c48]Osama Khan, Randal C. Burns, James S. Plank, Cheng Huang:
In Search of I/O-Optimal Recovery from Disk Failures. HotStorage 2011 - [c47]Edward Givelberg, Alexander S. Szalay, Kalin Kanov, Randal C. Burns:
MPI-DB, A Parallel Database Services Software Library for Scientific Computing. EuroMPI 2011: 339-341 - [c46]Kalin Kanov, Eric A. Perlman, Randal C. Burns, Yanif Ahmad, Alexander S. Szalay:
I/O streaming evaluation of batch queries for data-intensive computational turbulence. SC 2011: 29:1-29:10 - [i6]Ragib Hasan, Randal C. Burns:
The Life and Death of Unwanted Bits: Towards Proactive Waste Data Management in Digital Ecosystems. CoRR abs/1106.6062 (2011) - [i5]Ragib Hasan, Randal C. Burns:
Where Have You Been? Secure Location Provenance for Mobile Devices. CoRR abs/1107.1821 (2011) - 2010
- [j16]Randal C. Burns, Zachary N. J. Peterson:
Security constructs for regulatory-compliant storage. Commun. ACM 53(1): 126-130 (2010) - [j15]Andreas Terzis, Razvan Musaloiu-Elefteri, Joshua Cogan, Katalin Szlavecz, Alexander S. Szalay, Jim Gray, Stuart Ozer, Chieh-Jan Mike Liang, Jayant Gupchup, Randal C. Burns:
Wireless sensor networks for soil science. Int. J. Sens. Networks 7(1/2): 53-70 (2010) - [j14]Yanif Ahmad, Randal C. Burns, Michael M. Kazhdan, Charles Meneveau, Alexander S. Szalay, Andreas Terzis:
Scientific data management at the Johns Hopkins institute for data intensive engineering and science. SIGMOD Rec. 39(3): 18-23 (2010) - [j13]Paul T. Stanton, Benjamin McKeown, Randal C. Burns, Giuseppe Ateniese:
FastAD: an authenticated directory for billions of objects. ACM SIGOPS Oper. Syst. Rev. 44(1): 45-49 (2010) - [j12]Randal C. Burns, Kimberly Keeton:
Guest editorial: FAST'10. ACM Trans. Storage 6(3): 8:1-8:2 (2010) - [c45]Bo Chen, Reza Curtmola, Giuseppe Ateniese, Randal C. Burns:
Remote data checking for network coding-based distributed storage systems. CCSW 2010: 31-42 - [c44]Neal H. Walfield, Paul T. Stanton, John Linwood Griffin, Randal C. Burns:
Practical protection for personal storage in the cloud. EUROSEC 2010: 8-14 - [c43]Xiaodan Wang, Eric A. Perlman, Randal C. Burns, Tanu Malik, Tamas Budavari, Charles Meneveau, Alexander S. Szalay:
JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations. SC 2010: 1-11 - [c42]Eric A. Perlman, Randal C. Burns, Michael M. Kazhdan, Rebecca R. Murphy, William P. Ball, Nina Amenta:
Organization of Data in Non-convex Spatial Domains. SSDBM 2010: 342-359 - [e1]Randal C. Burns, Kimberly Keeton:
8th USENIX Conference on File and Storage Technologies, San Jose, CA, USA, February 23-26, 2010. USENIX 2010, ISBN 978-1-931971-74-4 [contents]
2000 – 2009
- 2009
- [j11]Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey:
CA-NFS: A congestion-aware network file system. ACM Trans. Storage 5(4): 15:1-15:24 (2009) - [c41]Xiaodan Wang, Randal C. Burns, Tanu Malik:
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases. CIDR 2009 - [c40]Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey:
CA-NFS: A Congestion-Aware Network File System. FAST 2009: 99-110 - [c39]Alexander S. Szalay, Gordon Bell, Jan vandenBerg, Alainna Wonders, Randal C. Burns, Dan Fay, Jim Heasley, Tony Hey, María A. Nieto-Santisteban, Ani Thakar, Catharine van Ingen, Richard Wilton:
GrayWulf: Scalable Clustered Architecture for Data Intensive Computing. HICSS 2009: 1-10 - [c38]Matthew Bolitho, Michael M. Kazhdan, Randal C. Burns, Hugues Hoppe:
Parallel Poisson Surface Reconstruction. ISVC (1) 2009: 678-689 - [c37]Sarah M. Richardson, Brian S. Olson, Jessica S. Dymond, Randal C. Burns, Srinivasan Chandrasegaran, Jef D. Boeke, Amarda Shehu, Joel S. Bader:
Automated Design of Assemblable, Modular, Synthetic Chromosomes. PPAM (2) 2009: 280-289 - [c36]Tanu Malik, Xiaodan Wang, Debabrata Dash, Amitabh Chaudhary, Anastasia Ailamaki, Randal C. Burns:
Adaptive Physical Design for Curated Archives. SSDBM 2009: 148-166 - [i4]Jayant Gupchup, Andreas Terzis, Randal C. Burns, Alexander S. Szalay:
Model-Based Event Detection in Wireless Sensor Networks. CoRR abs/0901.3923 (2009) - [i3]Xiaodan Wang, Randal C. Burns, Tanu Malik:
LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases. CoRR abs/0909.1760 (2009) - 2008
- [j10]Eric A. Perlman, Randal C. Burns, Michael M. Kazhdan:
Organizing and indexing non-convex regions. Proc. VLDB Endow. 1(2): 1500-1503 (2008) - [j9]Alexandros Batsakis, Randal C. Burns:
NFS-CD: Write-Enabled Cooperative Caching in NFS. IEEE Trans. Parallel Distributed Syst. 19(3): 323-333 (2008) - [c35]Tanu Malik, Randal C. Burns:
Workload-Aware Histograms for Remote Applications. DaWaK 2008: 402-412 - [c34]Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey:
AWOL: An Adaptive Write Optimizations Layer. FAST 2008: 67-80 - [c33]Reza Curtmola, Osama Khan, Randal C. Burns, Giuseppe Ateniese:
MR-PDP: Multiple-Replica Provable Data Possession. ICDCS 2008: 411-420 - [c32]Randal C. Burns, Susan B. Davidson, Yannis E. Ioannidis, Miron Livny, Jignesh M. Patel:
Scientific Data Management: An Orphan in the Database Community? ICDE 2008: 9 - [c31]Tanu Malik, Xiaodan Wang, Randal C. Burns, Debabrata Dash, Anastasia Ailamaki:
Automated physical design in database caches. ICDE Workshops 2008: 27-34 - [c30]Xiaodan Wang, Randal C. Burns, Andreas Terzis, Amol Deshpande:
Network-Aware Join Processing in Global-Scale Database Federations. ICDE 2008: 586-595 - [c29]Reza Curtmola, Osama Khan, Randal C. Burns:
Robust remote data checking. StorageSS 2008: 63-68 - 2007
- [c28]Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, Dawn Xiaodong Song:
Provable data possession at untrusted stores. CCS 2007: 598-609 - [c27]Tanu Malik, Randal C. Burns, Nitesh V. Chawla:
A Black-Box Approach to Query Cardinality Estimation. CIDR 2007: 56-67 - [c26]Xiaodan Wang, Tanu Malik, Randal C. Burns, Stratos Papadomanolakis, Anastassia Ailamaki:
A Workload-Driven Unit of Cache Replacement for Mid-Tier Database Caching. DASFAA 2007: 374-385 - [c25]Zachary N. J. Peterson, Randal C. Burns, Giuseppe Ateniese, Stephen Bono:
Design and Implementation of Verifiable Audit Trails for a Versioning File System. FAST 2007: 93-106 - [c24]Xiaodan Wang, Randal C. Burns, Andreas Terzis:
Throughput-Optimized, Global-Scale Join Processing in Scientific Federations. NetDB 2007 - [c23]Eric A. Perlman, Randal C. Burns, Yi Li, Charles Meneveau:
Data exploration of turbulence simulations using a database cluster. SC 2007: 23 - [c22]Matthew Bolitho, Michael M. Kazhdan, Randal C. Burns, Hugues Hoppe:
Multilevel streaming for out-of-core surface reconstruction. Symposium on Geometry Processing 2007: 69-78 - [i2]Katalin Szlavecz, Andreas Terzis, Stuart Ozer, Razvan Musaloiu-Elefteri, Joshua Cogan, Sam Small, Randal C. Burns, Jim Gray, Alexander S. Szalay:
Life Under Your Feet: An End-to-End Soil Ecology Sensor Network, Database, Web Server, and Analysis Service. CoRR abs/cs/0701170 (2007) - [i1]Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, Dawn Song:
Provable Data Possession at Untrusted Stores. IACR Cryptol. ePrint Arch. 2007: 202 (2007) - 2006
- [c21]Zachary N. J. Peterson, Randal C. Burns:
Building regulatory compliant storage systems. DG.O 2006: 442-443 - [c20]Changxun Wu, Randal C. Burns:
Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution. HPDC 2006: 207-217 - [c19]Tanu Malik, Randal C. Burns, Nitesh V. Chawla, Alexander S. Szalay:
Data management and query - Estimating query result sizes for proxy caching in scientific database federations. SC 2006: 102 - [c18]Eric A. Perlman, Randal C. Burns:
Poster reception - Engineering the 100 terabyte turbulence database (or how to track particles at home). SC 2006: 164 - [c17]Stuart Ozer, Jim Gray, Alexander S. Szalay, Andreas Terzis, Razvan Musaloiu-Elefteri, Katalin Szlavecz, Randal C. Burns, Joshua Cogan:
Data analysis tools for sensor-based science. SenSys 2006: 341-342 - 2005
- [j8]Changxun Wu, Randal C. Burns:
Tunable randomization for load management in shared-disk clusters. ACM Trans. Storage 1(1): 108-131 (2005) - [j7]Zachary N. J. Peterson, Randal C. Burns:
Ext3cow: a time-shifting file system for regulatory compliance. ACM Trans. Storage 1(2): 190-212 (2005) - [c16]Zachary N. J. Peterson, Randal C. Burns, Joseph Herring, Adam Stubblefield, Aviel D. Rubin:
Secure Deletion for a Versioning File System. FAST 2005 - [c15]Alexandros Batsakis, Randal C. Burns:
Cluster delegation: high-performance, fault-tolerant data sharing in NFS. HPDC 2005: 100-109 - [c14]Tanu Malik, Randal C. Burns, Amitabh Chaudhary:
Bypass Caching: Making Scientific Databases Good Network Citizens. ICDE 2005: 94-105 - [c13]Randal C. Burns, Zachary N. J. Peterson, Giuseppe Ateniese, Stephen Bono:
Verifiable audit trails for a versioning file system. StorageSS 2005: 44-50 - 2004
- [c12]Changxun Wu, Randal C. Burns:
Achieving Performance Consistency in Heterogeneous Clusters. HPDC 2004: 140-149 - [c11]Randal C. Burns:
Fastpath Optimizations for Cluster Recovery in Shared-Disk Systems. SC 2004: 5 - 2003
- [j6]Randal C. Burns, Larry J. Stockmeyer, Darrell D. E. Long:
In-Place Reconstruction of Version Differences. IEEE Trans. Knowl. Data Eng. 15(4): 973-984 (2003) - [c10]Gary A. S. Whittle, Jehan-François Pâris, Ahmed Amer, Darrell D. E. Long, Randal C. Burns:
Using Multiple Predictors to Improve the Accuracy of File Access Predictions. IEEE Symposium on Mass Storage Systems 2003: 230-240 - [c9]Changxun Wu, Randal C. Burns:
Handling Heterogeneity in Shared-Disk File Systems. SC 2003: 7 - [c8]David Rasch, Randal C. Burns:
In-Place Rsync: File Synchronization for Mobile and Wireless Devices. USENIX ATC, FREENIX Track 2003: 91-100 - 2002
- [j5]Miklós Ajtai, Randal C. Burns, Ronald Fagin, Darrell D. E. Long, Larry J. Stockmeyer:
Compactly encoding unstructured inputs with differential compression. J. ACM 49(3): 318-367 (2002) - [c7]Ahmed Amer, Darrell D. E. Long, Randal C. Burns:
Group-Based Management of Distributed File Caches. ICDCS 2002: 525-534 - 2001
- [j4]Randal C. Burns, Robert M. Rees, Larry J. Stockmeyer, Darrell D. E. Long:
Scalable Session Locking for a Distributed File System. Clust. Comput. 4(4): 295-306 (2001) - [j3]Randal C. Burns, Robert M. Rees, Darrell D. E. Long:
Efficient Data Distribution in a Web Server Farm. IEEE Internet Comput. 5(4): 56-65 (2001) - [c6]Randal C. Burns, Robert M. Rees, Darrell D. E. Long:
An Analytical Study of Opportunistic Lease Renewal. ICDCS 2001: 146-153 - [c5]Randal C. Burns, Wayne Hineman:
A Bit-Parallel Search Algorithm for Allocating Free Space. MASCOTS 2001: 302-310 - 2000
- [j2]Benjamin C. Reed, Edward G. Chron, Randal C. Burns, Darrell D. E. Long:
Authenticating Network-Attached Storage. IEEE Micro 20(1): 49-57 (2000) - [j1]Randal C. Burns, Darrell D. E. Long, Robert M. Rees:
Consistency and locking for distributing updates to web servers using a file system. SIGMETRICS Perform. Evaluation Rev. 28(2): 15-21 (2000) - [c4]Randal C. Burns, Robert M. Rees, Darrell D. E. Long:
Safe Caching in a Distributed File System for Network Attached Storage. IPDPS 2000: 155-162
1990 – 1999
- 1998
- [c3]Randal C. Burns, Inderpal Narang:
Version Management and Recoverability for Large Object Data. IW-MMDBMS 1998: 12-19 - [c2]Randal C. Burns, Darrell D. E. Long:
In-Place Reconstruction of Delta Compressed Files. PODC 1998: 267-275 - 1997
- [c1]Randal C. Burns, Darrell D. E. Long:
Efficient Distributed Backup with Delta Compression. IOPADS 1997: 27-36
Coauthor Index
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