Interoperable and network‐aware service workflows for big data executions at internet scale
Author:
Affiliation:
1. Emory University Atlanta Georgia
2. INESC‐ID Lisboa/Instituto Superior Técnico Universidade de Lisboa Lisbon Portugal
3. Université Catholique de Louvain Louvain‐la‐Neuve Belgium
Funder
National funds through Fundação para a Ciência e a Tecnologia
PhD grant offered by the Erasmus Mundus Joint Doctorate in Distributed Computing
Publisher
Wiley
Subject
Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.5212
Reference75 articles.
1. Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
2. SagirogluS SinancD.Big data: a review. Paper presented at: 2013 International Conference on Collaboration Technologies and Systems (CTS);2013;San Diego CA.
3. GaurN BhogalKS JohnsonCD KaplingerTE BergDC inventors:International Business Machines Corp assignee.System and method of optimization of in‐memory data grid placement. US Patent 9 405 589. August 2 2016.
4. ZahariaM ChowdhuryM DasT et al.Resilient distributed datasets: a fault‐tolerant abstraction for in‐memory cluster computing. In: Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation USENIX Association;2012;San Jose CA.
5. The cost of a cloud
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