Interoperable and network‐aware service workflows for big data executions at internet scale

Author:

Kathiravelu Pradeeban123ORCID,Van Roy Peter3,Veiga Luís2

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

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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