Remote data access and analysis using SciDB

SciDB is an innovative data analysis system that provides fast querying and manipulation of large amounts of time-series, scientific data. This thesis describes the design of a framework that provides a user interface to SciDB that facilitates interactive processing of large datasets and supports long-running batch jobs on a remote server or cluster. Using this interface, python user scripts access SciDB data, process it, and write new result arrays. The framework addresses problems such as garbage collection, data access permissions and maintenance of provenance. We present a case study in which we apply this framework to data from the WaterWiSe project, and analyze the runtime performance of the system.

Department dc:contributor.department

Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2012

Author dc:creator

• Anderson, Alan M., M. Eng. Massachusetts Institute of Technology

Advisor dc:contributor.advisor

• Lewis Girod and Sam Madden.

• Electrical Engineering and Computer Science.

Statement dc:rights

• M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

http://hdl.handle.net/1721.1/77076

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/77076