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CRUCIBLE : towards unified secure on- and off-line analytics at scale

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Coetzee, Peter and Jarvis, Stephen A. (2013) CRUCIBLE : towards unified secure on- and off-line analytics at scale. In: The 2013 International Workshop on Data-Intensive Scalable Computing Systems, Denver, Colorado, USA, 18 Nov 2013. Published in: Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems pp. 43-48. ISBN 9781450325066. doi:10.1145/2534645.2534649

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Official URL: http://dx.doi.org/10.1145/2534645.2534649

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Abstract

The burgeoning field of data science benefits from the application of a variety of analytic models and techniques to the oft-cited problems of large volume, high velocity data rates, and significant variety in data structure and semantics. Many approaches make use of common analytic techniques in either a streaming or batch processing paradigm.

This paper presents progress in developing a framework for the analysis of large-scale datasets using both of these pools of techniques in a unified manner. This includes: (1) a Domain Specific Language (DSL) for describing analyses as a set of Communicating Sequential Processes, fully integrated with the Java type system, including an Integrated Development Environment (IDE) and a compiler which builds idiomatic Java; (2) a runtime model for execution of an analytic in both streaming and batch environments; and (3) a novel approach to automated management of cell-level security labels, applied uniformly across all runtimes.

The paper concludes with a demonstration of the successful use of this system with a sample workload developed in (1), and an analysis of the performance characteristics of each of the runtimes described in (2).

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Electronic data processing
Journal or Publication Title: Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems
Publisher: ACM
ISBN: 9781450325066
Book Title: Proceedings of the 2013 International Workshop on Data-Intensive Scalable Computing Systems - DISCS-2013
Official Date: 18 November 2013
Dates:
DateEvent
18 November 2013Published
Page Range: pp. 43-48
DOI: 10.1145/2534645.2534649
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Conference Paper Type: Paper
Title of Event: The 2013 International Workshop on Data-Intensive Scalable Computing Systems
Type of Event: Workshop
Location of Event: Denver, Colorado, USA
Date(s) of Event: 18 Nov 2013
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