Randal C. Burns

151 papers A* 9A 33B 13C 2Misc 3Journal 62Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	On Harnessing Idle Compute at the Edge for Foundation Model Training. EuroMLSys@EuroSys Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos J. Storkey, Randal C. Burns, Mahesh K. Marina
2026	J	`jnl`	Vectorized Adaptive Histograms for Sparse Oblique Forests. CoRR Ariel Lubonja, Jungsang Yoon, Haoyin Xu, Yue Wan, Yilin Xu, Richard Stotz, Mathieu Guillame-Bert, Joshua T. Vogelstein, Randal C. Burns
2025	—	`conf`	Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges. MLMI@MICCAI Ariel Lubonja, Pedro R. A. S. Bassi, Wenxuan Li, Hualin Qiao, Randal C. Burns, Alan L. Yuille, Zongwei Zhou
2025	J	`jnl`	Auditing Significance, Metric Choice, and Demographic Fairness in Medical AI Challenges. CoRR Ariel Lubonja, Pedro R. A. S. Bassi, Wenxuan Li, Hualin Qiao, Randal C. Burns, Alan L. Yuille, Zongwei Zhou
2025	J	`jnl`	On Harnessing Idle Compute at the Edge for Foundation Model Training. CoRR Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos J. Storkey, Randal C. Burns, Mahesh K. Marina
2025	A*	`conf`	Poster: On Harnessing Idle Compute at the Edge for Foundation Model Training. MobiCom Leyang Xue, Meghana Madhyastha, Myungjin Lee, Amos Storkey, Randal C. Burns, Mahesh K. Marina
2025	J	`jnl`	Towards Decentralized and Sustainable Foundation Model Training with the Edge. CoRR Leyang Xue, Meghana Madhyastha, Randal C. Burns, Myungjin Lee, Mahesh K. Marina
2024	—	`conf`	Batch-Parallel Compressed Sparse Row: A Locality-Optimized Dynamic-Graph Representation. HPEC Brian Wheatman, Randal C. Burns, Helen Xu
2024	B	`conf`	CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. PPoPP Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
2024	—	`conf`	Edge-Parallel Graph Encoder Embedding. IPDPS (Workshops) Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
2024	J	`jnl`	Edge-Parallel Graph Encoder Embedding. CoRR Ariel Lubonja, Cencheng Shen, Carey E. Priebe, Randal C. Burns
2024	A	`conf`	EvoStore: Towards Scalable Storage of Evolving Learning Models. HPDC Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2024	J	`jnl`	Masked Matrix Multiplication for Emergent Sparsity. CoRR Brian Wheatman, Meghana Madhyastha, Randal C. Burns
2024	A*	`conf`	T-Rex (Tree-Rectangles): Reformulating Decision Tree Traversal as Hyperrectangle Enclosure. ICDE Meghana Madhyastha, Tamas Budavari, Vladimir Braverman, Joshua T. Vogelstein, Randal C. Burns
2023	J	`jnl`	CPMA: An Efficient Batch-Parallel Compressed Set Without Pointers. CoRR Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
2023	A	`conf`	DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae
2023	A	`conf`	Optimizing Search Layouts in Packed Memory Arrays. ALENEX Brian Wheatman, Randal C. Burns, Aydin Buluç, Helen Xu
2023	—	`conf`	Prospective Learning: Principled Extrapolation to the Future. CoLLAs 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 S. 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
2023	Misc	`conf`	Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2023	J	`jnl`	Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae
2022	J	`jnl`	Prospective Learning: Back to the Future. CoRR 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 S. 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
2022	B	`conf`	Towards Optimal Line of Sight Coverage. e-Science Peter Gu, Tamás Budavári, Amanda Galante, Randal C. Burns
2021	A*	`conf`	BLOCKSET (Block-Aligned Serialized Trees): Reducing Inference Latency for Tree ensemble Deployment. KDD Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
2021	—	`conf`	Streaming Sparse Graphs using Efficient Dynamic Sets. IEEE BigData Brian Wheatman, Randal C. Burns
2021	A	`conf`	Understanding and dealing with hard faults in persistent memory systems. EuroSys Brian Choi, Randal C. Burns, Peng Huang
2020	J	`jnl`	Creating an Active Learning Environment using Reproducible Data Science Tools. eLearn Mag. Randal C. Burns
2020	A*	`conf`	Geodesic Forests. KDD Meghana Madhyastha, Gongkai Li, Veronika Strnadová-Neeley, James Browne, Joshua T. Vogelstein, Randal C. Burns, Carey E. Priebe
2020	J	`jnl`	Observations on Porting In-memory KV stores to Persistent Memory. CoRR Brian Choi, Parv Saxena, Ryan Huang, Randal C. Burns
2020	J	`jnl`	PACSET (Packed Serialized Trees): Reducing Inference Latency for Tree Ensemble Deployment. CoRR Meghana Madhyastha, Kunal Lillaney, James Browne, Joshua T. Vogelstein, Randal C. Burns
2020	J	`jnl`	Sparse Projection Oblique Randomer Forests. J. Mach. Learn. Res. 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
2019	—	`conf`	Agni: An Efficient Dual-access File System over Object Storage. SoCC Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
2019	A	`conf`	Forest Packing: Fast Parallel, Decision Forests. SDM James Browne, Disa Mhembere, Tyler M. Tomita, Joshua T. Vogelstein, Randal C. Burns
2019	J	`jnl`	Geodesic Learning via Unsupervised Decision Forests. CoRR Meghana Madhyastha, Percy Li, James Browne, Veronika Strnadová-Neeley, Carey E. Priebe, Randal C. Burns, Joshua T. Vogelstein
2019	J	`jnl`	Graphyti: A Semi-External Memory Graph Library for FlashGraph. CoRR Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
2019	—	`conf`	The Case for Dual-access File Systems over Object Storage. HotStorage Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
2019	J	`jnl`	Towards Marrying Files to Objects. CoRR Kunal Lillaney, Vasily Tarasov, David Pease, Randal C. Burns
2019	J	`jnl`	clusterNOR: A NUMA-Optimized Clustering Framework. CoRR Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
2018	—	`conf`	Building NDStore Through Hierarchical Storage Management and Microservice Processing. eScience Kunal Lillaney, Dean Kleissas, Alexander Eusman, Eric A. Perlman, William R. Gray Roncal, Joshua T. Vogelstein, Randal C. Burns
2018	B	`conf`	FlashR: parallelize and scale R for machine learning using SSDs. PPoPP Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2018	J	`jnl`	Forest Packing: Fast, Parallel Decision Forests. CoRR James Browne, Tyler M. Tomita, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein
2018	J	`jnl`	Remote visual analysis of large turbulence databases at multiple scales. J. Parallel Distributed Comput. Jesus Pulido, Daniel Livescu, Kalin Kanov, Randal C. Burns, Curtis Canada, James P. Ahrens, Bernd Hamann
2017	C	`conf`	Extreme Event Analysis in Next Generation Simulation Architectures. ISC Stephen Hamilton, Randal C. Burns, Charles Meneveau, Perry Johnson, Peter Lindstrom, John Patchett, Alexander S. Szalay
2017	J	`jnl`	Semi-External Memory Sparse Matrix Multiplication for Billion-Node Graphs. IEEE Trans. Parallel Distributed Syst. Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2017	J	`jnl`	Whole-brain serial-section electron microscopy in larval zebrafish. Nat. 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
2017	A	`conf`	knor: A NUMA-Optimized In-Memory, Distributed and Semi-External-Memory k-means Library. HPDC Disa Mhembere, Da Zheng, Carey E. Priebe, Joshua T. Vogelstein, Randal C. Burns
2016	J	`jnl`	An SSD-based eigensolver for spectral analysis on billion-node graphs. CoRR Da Zheng, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
2016	J	`jnl`	FlashMatrix: Parallel, Scalable Data Analysis with Generalized Matrix Operations using Commodity SSDs. CoRR Da Zheng, Disa Mhembere, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2016	J	`jnl`	NUMA-optimized In-memory and Semi-external-memory Parameterized Clustering. CoRR Disa Mhembere, Da Zheng, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2016	J	`jnl`	Semi-External Memory Sparse Matrix Multiplication on Billion-node Graphs in a Multicore Architecture. CoRR Da Zheng, Disa Mhembere, Vince Lyzinski, Joshua T. Vogelstein, Carey E. Priebe, Randal C. Burns
2015	J	`jnl`	An Automated Images-to-Graphs Framework for High Resolution Connectomics. Frontiers Neuroinformatics 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
2015	B	`conf`	Efficient evaluation of threshold queries of derived fields in a numerical simulation database. EDBT Kalin Kanov, Randal C. Burns, Cristian Constantin Lalescu
2015	A	`conf`	FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. FAST Da Zheng, Disa Mhembere, Randal C. Burns, Joshua T. Vogelstein, Carey E. Priebe, Alexander S. Szalay
2015	J	`jnl`	Gradient-Domain Fusion for Color Correction in Large EM Image Stacks. CoRR Michael M. Kazhdan, Kunal Lillaney, William R. Gray Roncal, Davi Bock, Joshua T. Vogelstein, Randal C. Burns
2015	J	`jnl`	Optimize Unsynchronized Garbage Collection in an SSD Array. CoRR Da Zheng, Randal C. Burns, Alexander S. Szalay
2015	A	`conf`	Particle tracking in open simulation laboratories. SC Kalin Kanov, Randal C. Burns
2015	B	`conf`	Streaming Algorithms for Halo Finders. e-Science Zaoxing Liu, Nikita Ivkin, Lin Yang, Mark Neyrinck, Gerard Lemson, Alexander S. Szalay, Vladimir Braverman, Tamas Budavari, Randal C. Burns, Xin Wang
2015	J	`jnl`	The Johns Hopkins Turbulence Databases: An Open Simulation Laboratory for Turbulence Research. Comput. Sci. Eng. Kalin Kanov, Randal C. Burns, Cristian Constantin Lalescu, Gregory L. Eyink
2015	A	`conf`	VESICLE: Volumetric Evaluation of Synaptic Inferfaces using Computer Vision at Large Scale. BMVC 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
2014	J	`jnl`	Active Community Detection in Massive Graphs. CoRR Heng Wang, Da Zheng, Randal C. Burns, Carey E. Priebe
2014	J	`jnl`	An Automated Images-to-Graphs Pipeline for High Resolution Connectomics. CoRR 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
2014	J	`jnl`	Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes using High-Resolution Neural EM Data. CoRR Ayushi Sinha, William R. Gray Roncal, Narayanan Kasthuri, Jeff W. Lichtman, Randal C. Burns, Michael M. Kazhdan
2014	J	`jnl`	Automatic Annotation of Axoplasmic Reticula in Pursuit of Connectomes. CoRR 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
2014	J	`jnl`	FlashGraph: Processing Billion-Node Graphs on an Array of Commodity SSDs. CoRR Da Zheng, Disa Mhembere, Randal C. Burns, Alexander S. Szalay
2014	Misc	`ed.`	International Conference on Systems and Storage, SYSTOR 2014, Haifa, Israel, June 30 - July 02, 2014 SYSTOR Eliezer Dekel, Randal C. Burns, Roy Friedman
2013	J	`jnl`	Computing Scalable Multivariate Glocal Invariants of Large (Brain-) Graphs. CoRR 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
2013	—	`conf`	Computing scalable multivariate glocal invariants of large (brain-) graphs. GlobalSIP 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
2013	J	`jnl`	Flux-freezing breakdown in high-conductivity magnetohydrodynamic turbulence. Nat. Gregory L. Eyink, Ethan Vishniac, Cristian Constantin Lalescu, Hussein Aluie, Kalin Kanov, Kai Bürger, Randal C. Burns, Charles Meneveau, Alexander S. Szalay
2013	J	`jnl`	Gradient-Domain Processing for Large EM Image Stacks. CoRR Michael M. Kazhdan, Randal C. Burns, Bobby Kasthuri, Jeff Lichtman, R. Jacob Vogelstein, Joshua T. Vogelstein
2013	B	`conf`	Inverted indices for particle tracking in petascale cosmological simulations. SSDBM Daniel Crankshaw, Randal C. Burns, Bridget Falck, Tamas Budavari, Alexander S. Szalay, Jie Wang
2013	—	`conf`	MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. GlobalSIP 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
2013	J	`jnl`	MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics. CoRR 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
2013	J	`jnl`	The Open Connectome Project Data Cluster: Scalable Analysis and Vision for High-Throughput Neuroscience. CoRR 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
2013	B	`conf`	The open connectome project data cluster: scalable analysis and vision for high-throughput neuroscience. SSDBM 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
2013	A	`conf`	Toward millions of file system IOPS on low-cost, commodity hardware. SC Da Zheng, Randal C. Burns, Alexander S. Szalay
2012	—	`conf`	A Parallel Page Cache: IOPS and Caching for Multicore Systems. HotStorage Da Zheng, Randal C. Burns, Alexander S. Szalay
2012	A	`conf`	Data-intensive spatial filtering in large numerical simulation datasets. SC Kalin Kanov, Randal C. Burns, Gregory L. Eyink, Charles Meneveau, Alexander S. Szalay
2012	A	`conf`	Rethinking erasure codes for cloud file systems: minimizing I/O for recovery and degraded reads. FAST Osama Khan, Randal C. Burns, James S. Plank, William Pierce, Cheng Huang
2011	—	`conf`	APR-Quad: an update efficient authenticated dictionary for spatial data. SPRINGL Paul T. Stanton, Randal C. Burns
2011	—	`conf`	CoScan: cooperative scan sharing in the cloud. SoCC Xiaodan Wang, Christopher Olston, Anish Das Sarma, Randal C. Burns
2011	A	`conf`	I/O streaming evaluation of batch queries for data-intensive computational turbulence. SC Kalin Kanov, Eric A. Perlman, Randal C. Burns, Yanif Ahmad, Alexander S. Szalay
2011	—	`conf`	In Search of I/O-Optimal Recovery from Disk Failures. HotStorage Osama Khan, Randal C. Burns, James S. Plank, Cheng Huang
2011	C	`conf`	MPI-DB, A Parallel Database Services Software Library for Scientific Computing. EuroMPI Edward Givelberg, Alexander S. Szalay, Kalin Kanov, Randal C. Burns
2011	J	`jnl`	Remote data checking using provable data possession. ACM Trans. Inf. Syst. Secur. Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Osama Khan, Lea Kissner, Zachary N. J. Peterson, Dawn Song
2011	J	`jnl`	The Life and Death of Unwanted Bits: Towards Proactive Waste Data Management in Digital Ecosystems CoRR Ragib Hasan, Randal C. Burns
2011	J	`jnl`	Where Have You Been? Secure Location Provenance for Mobile Devices CoRR Ragib Hasan, Randal C. Burns
2010	A	`ed.`	8th USENIX Conference on File and Storage Technologies, San Jose, CA, USA, February 23-26, 2010 FAST Randal C. Burns, Kimberly Keeton
2010	J	`jnl`	FastAD: an authenticated directory for billions of objects. ACM SIGOPS Oper. Syst. Rev. Paul T. Stanton, Benjamin McKeown, Randal C. Burns, Giuseppe Ateniese
2010	J	`jnl`	Guest editorial: FAST'10. ACM Trans. Storage Randal C. Burns, Kimberly Keeton
2010	A	`conf`	JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations. SC Xiaodan Wang, Eric A. Perlman, Randal C. Burns, Tanu Malik, Tamas Budavari, Charles Meneveau, Alexander S. Szalay
2010	B	`conf`	Organization of Data in Non-convex Spatial Domains. SSDBM Eric A. Perlman, Randal C. Burns, Michael M. Kazhdan, Rebecca R. Murphy, William P. Ball, Nina Amenta
2010	—	`conf`	Practical protection for personal storage in the cloud. EUROSEC Neal H. Walfield, Paul T. Stanton, John Linwood Griffin, Randal C. Burns
2010	—	`conf`	Remote data checking for network coding-based distributed storage systems. CCSW Bo Chen, Reza Curtmola, Giuseppe Ateniese, Randal C. Burns
2010	J	`jnl`	Scientific data management at the Johns Hopkins institute for data intensive engineering and science. SIGMOD Rec. Yanif Ahmad, Randal C. Burns, Michael M. Kazhdan, Charles Meneveau, Alexander S. Szalay, Andreas Terzis
2010	J	`jnl`	Security constructs for regulatory-compliant storage. Commun. ACM Randal C. Burns, Zachary N. J. Peterson
2010	J	`jnl`	Wireless sensor networks for soil science. Int. J. Sens. Networks 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
2009	B	`conf`	Adaptive Physical Design for Curated Archives. SSDBM Tanu Malik, Xiaodan Wang, Debabrata Dash, Amitabh Chaudhary, Anastasia Ailamaki, Randal C. Burns
2009	—	`conf`	Automated Design of Assemblable, Modular, Synthetic Chromosomes. PPAM (2) Sarah M. Richardson, Brian S. Olson, Jessica S. Dymond, Randal C. Burns, Srinivasan Chandrasegaran, Jef D. Boeke, Amarda Shehu, Joel S. Bader
2009	A	`conf`	CA-NFS: A Congestion-Aware Network File System. FAST Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
2009	J	`jnl`	CA-NFS: A congestion-aware network file system. ACM Trans. Storage Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
2009	—	`conf`	GrayWulf: Scalable Clustered Architecture for Data Intensive Computing. HICSS 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
2009	J	`jnl`	LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases CoRR Xiaodan Wang, Randal C. Burns, Tanu Malik
2009	A	`conf`	LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases. CIDR Xiaodan Wang, Randal C. Burns, Tanu Malik
2009	J	`jnl`	Model-Based Event Detection in Wireless Sensor Networks CoRR Jayant Gupchup, Andreas Terzis, Randal C. Burns, Alexander S. Szalay
2009	—	`conf`	Parallel Poisson Surface Reconstruction. ISVC (1) Matthew Bolitho, Michael M. Kazhdan, Randal C. Burns, Hugues Hoppe
2008	A	`conf`	AWOL: An Adaptive Write Optimizations Layer. FAST Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
2008	—	`conf`	Automated physical design in database caches. ICDE Workshops Tanu Malik, Xiaodan Wang, Randal C. Burns, Debabrata Dash, Anastasia Ailamaki
2008	A	`conf`	MR-PDP: Multiple-Replica Provable Data Possession. ICDCS Reza Curtmola, Osama Khan, Randal C. Burns, Giuseppe Ateniese
2008	J	`jnl`	NFS-CD: Write-Enabled Cooperative Caching in NFS. IEEE Trans. Parallel Distributed Syst. Alexandros Batsakis, Randal C. Burns
2008	A*	`conf`	Network-Aware Join Processing in Global-Scale Database Federations. ICDE Xiaodan Wang, Randal C. Burns, Andreas Terzis, Amol Deshpande
2008	J	`jnl`	Organizing and indexing non-convex regions. Proc. VLDB Endow. Eric A. Perlman, Randal C. Burns, Michael M. Kazhdan
2008	—	`conf`	Robust remote data checking. StorageSS Reza Curtmola, Osama Khan, Randal C. Burns
2008	A*	`conf`	Scientific Data Management: An Orphan in the Database Community? ICDE Randal C. Burns, Susan B. Davidson, Yannis E. Ioannidis, Miron Livny, Jignesh M. Patel
2008	B	`conf`	Workload-Aware Histograms for Remote Applications. DaWaK Tanu Malik, Randal C. Burns
2007	A	`conf`	A Black-Box Approach to Query Cardinality Estimation. CIDR Tanu Malik, Randal C. Burns, Nitesh V. Chawla
2007	B	`conf`	A Workload-Driven Unit of Cache Replacement for Mid-Tier Database Caching. DASFAA Xiaodan Wang, Tanu Malik, Randal C. Burns, Stratos Papadomanolakis, Anastassia Ailamaki
2007	A	`conf`	Data exploration of turbulence simulations using a database cluster. SC Eric A. Perlman, Randal C. Burns, Yi Li, Charles Meneveau
2007	A	`conf`	Design and Implementation of Verifiable Audit Trails for a Versioning File System. FAST Zachary N. J. Peterson, Randal C. Burns, Giuseppe Ateniese, Stephen Bono
2007	J	`jnl`	Life Under Your Feet: An End-to-End Soil Ecology Sensor Network, Database, Web Server, and Analysis Service CoRR Katalin Szlavecz, Andreas Terzis, Stuart Ozer, Razvan Musaloiu-Elefteri, Joshua Cogan, Sam Small, Randal C. Burns, Jim Gray, Alexander S. Szalay
2007	B	`conf`	Multilevel streaming for out-of-core surface reconstruction. Symposium on Geometry Processing Matthew Bolitho, Michael M. Kazhdan, Randal C. Burns, Hugues Hoppe
2007	J	`jnl`	Provable Data Possession at Untrusted Stores. IACR Cryptol. ePrint Arch. Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, Dawn Song
2007	A*	`conf`	Provable data possession at untrusted stores. CCS Giuseppe Ateniese, Randal C. Burns, Reza Curtmola, Joseph Herring, Lea Kissner, Zachary N. J. Peterson, Dawn Xiaodong Song
2007	—	`conf`	Throughput-Optimized, Global-Scale Join Processing in Scientific Federations. NetDB Xiaodan Wang, Randal C. Burns, Andreas Terzis
2006	—	`conf`	Building regulatory compliant storage systems. DG.O Zachary N. J. Peterson, Randal C. Burns
2006	Misc	`conf`	Data analysis tools for sensor-based science. SenSys Stuart Ozer, Jim Gray, Alexander S. Szalay, Andreas Terzis, Razvan Musaloiu-Elefteri, Katalin Szlavecz, Randal C. Burns, Joshua Cogan
2006	A	`conf`	Data management and query - Estimating query result sizes for proxy caching in scientific database federations. SC Tanu Malik, Randal C. Burns, Nitesh V. Chawla, Alexander S. Szalay
2006	A	`conf`	Improving I/O Performance of Clustered Storage Systems by Adaptive Request Distribution. HPDC Changxun Wu, Randal C. Burns
2006	A	`conf`	Poster reception - Engineering the 100 terabyte turbulence database (or how to track particles at home). SC Eric A. Perlman, Randal C. Burns
2005	A*	`conf`	Bypass Caching: Making Scientific Databases Good Network Citizens. ICDE Tanu Malik, Randal C. Burns, Amitabh Chaudhary
2005	A	`conf`	Cluster delegation: high-performance, fault-tolerant data sharing in NFS. HPDC Alexandros Batsakis, Randal C. Burns
2005	J	`jnl`	Ext3cow: a time-shifting file system for regulatory compliance. ACM Trans. Storage Zachary N. J. Peterson, Randal C. Burns
2005	A	`conf`	Secure Deletion for a Versioning File System. FAST Zachary N. J. Peterson, Randal C. Burns, Joseph Herring, Adam Stubblefield, Aviel D. Rubin
2005	J	`jnl`	Tunable randomization for load management in shared-disk clusters. ACM Trans. Storage Changxun Wu, Randal C. Burns
2005	—	`conf`	Verifiable audit trails for a versioning file system. StorageSS Randal C. Burns, Zachary N. J. Peterson, Giuseppe Ateniese, Stephen Bono
2004	A	`conf`	Achieving Performance Consistency in Heterogeneous Clusters. HPDC Changxun Wu, Randal C. Burns
2004	A	`conf`	Fastpath Optimizations for Cluster Recovery in Shared-Disk Systems. SC Randal C. Burns
2003	A	`conf`	Handling Heterogeneity in Shared-Disk File Systems. SC Changxun Wu, Randal C. Burns
2003	J	`jnl`	In-Place Reconstruction of Version Differences. IEEE Trans. Knowl. Data Eng. Randal C. Burns, Larry J. Stockmeyer, Darrell D. E. Long
2003	—	`conf`	In-Place Rsync: File Synchronization for Mobile and Wireless Devices. USENIX ATC, FREENIX Track David Rasch, Randal C. Burns
2003	—	`conf`	Using Multiple Predictors to Improve the Accuracy of File Access Predictions. IEEE Symposium on Mass Storage Systems Gary A. S. Whittle, Jehan-François Pâris, Ahmed Amer, Darrell D. E. Long, Randal C. Burns
2002	J	`jnl`	Compactly encoding unstructured inputs with differential compression. J. ACM Miklós Ajtai, Randal C. Burns, Ronald Fagin, Darrell D. E. Long, Larry J. Stockmeyer
2002	A	`conf`	Group-Based Management of Distributed File Caches. ICDCS Ahmed Amer, Darrell D. E. Long, Randal C. Burns
2001	B	`conf`	A Bit-Parallel Search Algorithm for Allocating Free Space. MASCOTS Randal C. Burns, Wayne Hineman
2001	A	`conf`	An Analytical Study of Opportunistic Lease Renewal. ICDCS Randal C. Burns, Robert M. Rees, Darrell D. E. Long
2001	J	`jnl`	Efficient Data Distribution in a Web Server Farm. IEEE Internet Comput. Randal C. Burns, Robert M. Rees, Darrell D. E. Long
2001	J	`jnl`	Scalable Session Locking for a Distributed File System. Clust. Comput. Randal C. Burns, Robert M. Rees, Larry J. Stockmeyer, Darrell D. E. Long
2000	J	`jnl`	Authenticating Network-Attached Storage. IEEE Micro Benjamin C. Reed, Edward G. Chron, Randal C. Burns, Darrell D. E. Long
2000	J	`jnl`	Consistency and locking for distributing updates to web servers using a file system. SIGMETRICS Perform. Evaluation Rev. Randal C. Burns, Darrell D. E. Long, Robert M. Rees
2000	A	`conf`	Safe Caching in a Distributed File System for Network Attached Storage. IPDPS Randal C. Burns, Robert M. Rees, Darrell D. E. Long
1998	A*	`conf`	In-Place Reconstruction of Delta Compressed Files. PODC Randal C. Burns, Darrell D. E. Long
1998	—	`conf`	Version Management and Recoverability for Large Object Data. IW-MMDBMS Randal C. Burns, Inderpal Narang
1997	—	`conf`	Efficient Distributed Backup with Delta Compression. IOPADS Randal C. Burns, Darrell D. E. Long