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Robert E. Gruber

Robert E. Gruber

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    Bigtable: A Distributed Storage System for Structured Data
    Fay Chang
    Deborah A. Wallach
    Mike Burrows
    Andrew Fikes
    7th USENIX Symposium on Operating Systems Design and Implementation (OSDI), {USENIX} (2006), pp. 205-218
    Preview abstract Bigtable is a distributed storage system for managing structured data that is designed to scale to a very large size: petabytes of data across thousands of commodity servers. Many projects at Google store data in Bigtable, including web indexing, Google Earth, and Google Finance. These applications place very different demands on Bigtable, both in terms of data size (from URLs to web pages to satellite imagery) and latency requirements (from backend bulk processing to real-time data serving). Despite these varied demands, Bigtable has successfully provided a flexible, high-performance solution for all of these Google products. In this paper we describe the simple data model provided by Bigtable, which gives clients dynamic control over data layout and format, and we describe the design and implementation of Bigtable. View details
    PADX: Querying large-scale ad hoc data with XQuery
    Mary Fernandez
    Kathleen Fisher
    Yitzhak Mandelbaum
    Proceedings of PLAN-X 2006: Workshop on Programming Language technologies for XML (2006)
    Preview
    PADS: a Domain-Specific Language for Processing ad hoc Data
    Kathleen Fisher
    Proceedings of the 2005 ACM SIGPLAN Conference on Programming Language Design and Implementation (2005), pp. 295-304
    Robustness Testing and Hardening of CORBA ORB Implementations
    Jianto Pan
    Philip Koopman
    Daniel Siewiorek
    Yennun Huang
    Mimi Ling Jiang
    Proceedingsof the International Conference on Dependable Systems and Networks (ICDSN/FTCS) (2001), pp. 141-150
    High-level Constructs in the READY Event Notification System
    Balachander Krishnamurthy
    Euthimios Panagos
    Proceedings of the 8th ACM SIGOPS European Workshop (EW'98) on Support for Composing Distributed Applications, ACM Press New York, NY, USA (1998), pp. 195-202
    Optimism vs. Locking: A Study of Concurrency Control for Client-Server Object-Oriented Databases. Available as Technical Report MIT/LCS/TR-708
    Massachusetts Institute of Technology, Cambridge, MA, USA (1997)
    Efficient Optimistic Concurrency Control Using Loosely Synchronized Clocks
    Atul Adya
    Barbara Liskov
    Umesh Maheshwari
    SIGMOD Conference (1995), pp. 23-34
    Efficient Optimistic Concurrency Control using Loosely Synchronized Clocks
    {Atul Adya
    Barbara Liskov
    Umesh Maheshwari}
    Proceedings of the 1995 ACM SIGMOD international conference on Management of Data (1995), pp. 23-34
    Replication in the Harp File System
    Barbara Liskov
    Paul Johnson
    Liuba Shrira
    Michael Williams
    Proceedings of 13th ACM Symposium on Operating Systems Principles (SOSP), Association for Computing Machinery SIGOPS (1991), pp. 226-38