Robert E. Gruber

Robert E. Gruber

Authored Publications
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    {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
    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