A data-aware scheduling strategy for workflow execution in clouds-Reference-Cited by-同舟云学术

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A data-aware scheduling strategy for workflow execution in clouds

Published:2017-08-14 Issue:24 Volume:29 Page:e4229
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat: Pract Exper

Author:

Marozzo Fabrizio¹^ORCID,Rodrigo Duro Francisco²,Garcia Blas Javier²,Carretero Jesus²,Talia Domenico¹,Trunfio Paolo¹^ORCID

Affiliation:

1. DIMES; University of Calabria; Rende Italy

2. ARCOS; University Carlos III; Madrid Spain

Funder

European Union COST Program Action IC1305: Network for Sustainable Ultrascale Computing (NESUS)

Spanish MINISTERIO DE ECONOMÍA Y COMPETITIVIDAD

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference28 articles.

1. Performance evaluation and modeling of ultra-scale systems;Oliker;Parallel Process Sci Comput,2006

2. Pi of the sky-all-sky, real-time search for fast optical transients;Burd;New Astron,2005

3. Feature-based analysis of plasma-based particle acceleration data;Rubel;IEEE Trans Vis Comput Graph,2014

4. Massively parallel sequencing: the next big thing in genetic medicine;Tucker;Am J Hum Genet,2009

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