Please use this identifier to cite or link to this item: https://doi.org/10.1109/IC2E.2013.15
Title: Katana: Generalized data processing on peer-to-peer overlays
Authors: Goh, W.X.
Tan, K.-L. 
Keywords: Anamorphism
Catamorphism
Category theory
Distributed computing
MapReduce
Peer-to-peer overlay
Issue Date: 2013
Citation: Goh, W.X., Tan, K.-L. (2013). Katana: Generalized data processing on peer-to-peer overlays. Proceedings of the IEEE International Conference on Cloud Engineering, IC2E 2013 : 318-327. ScholarBank@NUS Repository. https://doi.org/10.1109/IC2E.2013.15
Abstract: The Katana framework is a novel peer-to-peer (P2P) based generalized data processing framework. It provides a programming model in which processing logic may be implicitly distributed across a cluster of processing sites much like the MapReduce framework but with augmented universality and extended expressiveness. As a result, the Katana framework consistently outperforms MapReduce in our experiments on a 65 machines cluster with up to 144 GB of test data. In addition, the Katana framework functions on top of a structured P2P overlay, which is generally known to provide better scalability as compared to the master/worker architecture adopted by most MapReduce implementations. © 2013 IEEE.
Source Title: Proceedings of the IEEE International Conference on Cloud Engineering, IC2E 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/78209
ISBN: 9780769549453
DOI: 10.1109/IC2E.2013.15
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