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2017 | OriginalPaper | Chapter

Beyond Map-Reduce: LATNODE – A New Programming Paradigm for Big Data Systems

Authors : Chai Yit Sheng, Phang Keat Keong

Published in: Information Science and Applications 2017

Publisher: Springer Singapore

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Abstract

The Compute Aggregate model used to model Map Reduce does not allow for dynamic node reordering once a job has started, assumes homogenous nodes and a balanced tree layout. We introduce heterogeneous nodes into the tree structure, thereby causing unbalanced trees. Finally, we present a new programming abstraction to allow for dynamic tree balancing.

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Metadata
Title
Beyond Map-Reduce: LATNODE – A New Programming Paradigm for Big Data Systems
Authors
Chai Yit Sheng
Phang Keat Keong
Copyright Year
2017
Publisher
Springer Singapore
Book
Information Science and Applications 2017

Print ISBN: 978-981-10-4153-2

Electronic ISBN: 978-981-10-4154-9

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-4154-9_9