Dimensioning Scientific Computing Systems to Improve Performance of Map-Reduce based Applications

Author:

Castañè Gabriel G.,Núneñ Alberto,Filgueira Rosa,Carretero Jesús

Publisher

Elsevier BV

Subject

General Engineering

Reference25 articles.

1. MapReduce: simplified data processing on large clusters;Dean;Communications of the ACM,2008

2. S. Sehrish, J. Bent, J. Lopez, S. Habib, J. Wang, Introducing Map-Reduce to high end computing, in: PDSW’08: 3rd Petascale Data Storage Workshop, 2008.

3. A. Matsunaga, M. Tsugawa, J. Fortes, Cloudblast: Combining mapreduce and virtualization on distributed resources for bioinformatics applications, in: eScience’08: IEEE Fourth International Conference on eScience, 2008, pp. 222-229.

4. H. Meuer, E. Strohmaier, J. Dongarra, H.D. Simon, Top500 Supercomputer sites, http://www.top500.org (2010).

5. A. Nunez, G. Castane, J. Vazquez-Poletti, A. Caminero, J. Carretero, I. Llorente, Design of a flexible and scalable hypervisor module for simulating cloud computing environments, in: Performance Evaluation of Computer Telecommunication Systems (SPECTS), 2011 International Symposium on, 2011, pp. 265-270.

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