RDAD: An Efficient Distributed Multi-Layered Resource Handler in Jungle Computing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-021-08928-9.pdf
Reference26 articles.
1. Seinstra, Frank J., et al. (2011). "Jungle computing: Distributed supercomputing beyond clusters, grids and clouds." Grids, Clouds and Virtualization. Springer, London. 167–197.
2. Maassen, Jason, et al. (2011). "Towards jungle computing with Ibis/Constellation." Proceedings of the 2011 workshop on Dynamic distributed data-intensive applications, programming abstractions and systems.
3. Tychalas, Dimitrios and Helen Karatza. (2017). "High performance system based on Cloud and beyond: Jungle Computing." journal of Computational Science 22: 131–147.
4. Drost, Niels, et al. (2012). "High-performance distributed multi-model/multi-kernel simulations: A case-study in jungle computing." 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum. IEEE.
5. van Werkhoven, Ben, et al. (2018). "A Jungle Computing approach to common image source identification in large collections of images." Digital Investigation 27: 3–16.
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