Randal Burns

Storage and Database Systems for Science and Engineering

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Recent Publications

2012:

  • O. Khan, R. Burns, J. Plank, and C. Huang. Rethinking Erasure Codes for Cloud File Systems: Minimizing I/O for Recovery and Degraded Reads. Conference on File and Storage Technologies (FAST), USENIX, 2012.

2011:

  • G. Ateniese, R. Burns, R. Curtmola, J. Herring, O. Khan, L. Kissner, Z. Peterson, and D. Song. Remote Data Checking Using Provable Data Possession. ACM Transactions on Information and Systems Security, DOI 10.1145/1952982.1952994, 14(1), 2011.
  • K. Kanov, E. Perlman, R. Burns, Y. Ahmad, and R. Burns. I/O Streaming Evaluation of Batch Queries for Data-Intensive Computational Turbulence. Supercomputing (SC), IEEE, ACM, 2011.
  • X. Wang, A. Das, C. Olston, and R. Burns. CoScan: Cooperative Scan Sharing in the Cloud. Symposium on Cloud Computing (SOCC), ACM, 2011.
  • P. Stanton and R. Burns. APR-Quad: An Update Efficient Authenticated Dictionary for Spatial Data. Work- shop on Security and Privacy in GIS and LBS, ACM, 2011
  • E. Givelberg, A. S. Szalay, K. Kanov, and R. Burns. An Architecture for a Data-Intensive Computer. Work- shop on Network-Aware Data Management, IEEE, ACM, 2011.
  • R. Burns. Forget Locality (The Radio Edit). Workshop on High-Performance Transaction Processing Sys- tems (HPTS), 2011.
  • E. Givelberg, A. S. Szalay, K. Kanov, and R. Burns. MPI-DB, A Parallel Database Services Software Library for Scientific Computing. EuroMPI, 2011.
  • O. Khan, R. Burns, J. Plank, and C. Huang. In Search of I/O Optimal Recovery from Disk Failures. Workshop on Hot Topics in Storage (HotStorage), USENIX, 2011.

2010:

  • R. Burns and Z. Peterson. Security Constructs for Regulatory-Compliant Storage. Communications of the ACM, 53(1), 126–130, 2010.
  • R. Musaloiu-E., J. Cogan, K. Szlavecz, A. Szalay, J. Gray, S. Ozer, C.-J. M. Liang, J. Gupchup, and R. Burns. Wireless Sensor Networks for Soil Science. International Journal of Sensor Networks, 7(1-2), 53–70, 2010.
  • Y. Ahmad, R. Burns, M. Kazhdan, A. Szalay, and A. Terzis. Scientific Data Management at the Johns Hopkins Institute for Data Intensive Engineering and Science. SIGMOD Record, 39(3), 18–23, 2010.
  • X. Wang, E. Perlman, R. Burns, T. Malik, T. Budava ́ri, C. Meneveau, and A. Szalay. JAWS: Job-Aware Workload Scheduling for the Exploration of Turbulence Simulations. Supercomputing (SC), IEEE, ACM, 2010.
  • E. Perlman, R. Burns, M. Kazhdan, R. Murphy, and B. Ball. Organization of Data in Non-Convex Spatial Domains. Scientific and Statistical Databases Management Conference (SSDBM), 2010.
  • P. Stanton and R. Burns. I/O Efficient Search of Large Social Networks. Network Science Workshop, Network Science Center, United States Military Academy, 2010.
  • B. Hong, R. Curmola, G. Ateniese, and R. Burns. Remote Data Checking for Network Coding-based Distributed Storage Systems. Cloud Computing Security Workshop, ACM, 2010.
  • N. Walfield, P. Stanton, and R. Burns. Practical Protection for Personal Storage in the Cloud. EUROSEC: European Workshop on System Security, ACM, 2010.

2009:

  • A. Batsakis, R. Burns, A. Kanevsky, J. Lentini, and T. Talpey. CA-NFS: A Congestion-Aware Network File System.  Selection of the best papers from the Conference on File adn Storage Technology (FAST'09).  ACM Transactions on Storage, 5(4), 15:1-15:24, 2009.  (Full version of  Batsakis et al. FAST 2009).
  • A. Batsakis, R. Burns, A. Kanevsky, J. Lentini, and T. Talpey. A Congestion-Aware Network File System. Conference on File and Storage Technologies (FAST), USENIX, 2009.
  • X. Wang, R. Burns, and T. Malik. LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases. Conference on Innovative Data Systems Research (CIDR), ACM, 2009.
  • T. Malik, X. Wang, D. Dash, A. Chaudhary, R. Burns, and A. Ailamaki. Adaptive Physical Design for Curated Archives. Scientific and Statistical Database Management Conference (SSDBM), 2009.
  • M. Bolitho, M. Kazdhan, R. Burns, and H. Hoppe. Parallel Surface Reconstruction. International Symposium on Visual Computing (ISVC), 2009.
  • A. S. Szalay, G. Bell, J. Vandenberg, R. Burns, D. Fay, J. Heasley, T. Hey, M. Nieto-Santisteban, A. Thakar, C. Van Ingen, R. Wilton, and A. Wonders. GrayWulf: Scalable Clustered Architecture for Data Intensive Computing. Hawai'i International Conference on Systems Sciences (HICSS), 2009.

2008:

Last Updated on Tuesday, 07 February 2012 19:17