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Cloud Objects: Programming the Cloud with Object-Oriented Map/Reduce

Authors:
Julian Friedman
Manuel Oriol

Keywords: Map/Reduce, Hadoop, JPA, Cloud Computing

Abstract:
Cloud Objects parallelizes Object-Oriented pro- grams written in Java using Map/Reduce by adding simple, declarative annotations to the code. The system automatically persists objects to a partitioned filesystem and efficiently executes methods across the partitioned object data. Using Cloud Objects, data-intensive programs can be written in a simple, readable, object-oriented manner, while maintaining the performance and scalability of the Map/Reduce platform. Cloud Objects shows that it is possible to combine the benefits of an object-oriented model and the power of Map/Reduce.

Pages: 224 to 228

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-4294

ISBN: 978-1-61208-216-5

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012