Service level management for executable papers

Authors:
Reginald Cushing;Spiros Koulouzis;Rudolf Strijkers;Adam S. Z. Belloum;Marian Bubak
Affiliations:
Institute for Informatics, University of Amsterdam, Amsterdam, The Netherlands;Institute for Informatics, University of Amsterdam, Amsterdam, The Netherlands;Institute for Informatics, University of Amsterdam, Amsterdam, The Netherlands and TNO Information and Communication Technology, The Netherlands;Institute for Informatics, University of Amsterdam, Amsterdam, The Netherlands;Institute for Informatics, University of Amsterdam, Amsterdam, The Netherlands and Department of Computer Science, AGH University of Science and Technology, Krakow, Poland
Venue:
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
Year:
2011

Citing 4
Cited 0

An SLA-based resource virtualization approach for on-demand service provision

VTDC '09 Proceedings of the 3rd international workshop on Virtualization technologies in distributed computing
A view of cloud computing

Communications of the ACM
AMOS: Using the Cloud for On-Demand Execution of e-Science Applications

ESCIENCE '10 Proceedings of the 2010 IEEE Sixth International Conference on e-Science
Collaborative e-Science Experiments and Scientific Workflows

IEEE Internet Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Reproducibility of Science is considered as one of the main principles of the scientific method, and refers to the ability of an experiment to be accurately reproduced, by third person, in complex experiment every detail matters to ensure the correct reproducibility. In the context of the ICCS 2011, Elsevier organized the executable paper grand challenge a contest to improve the way scientific information is communicated and used. While during this contest the focus was on developing methods and technique to realize the idea of executable papers, in this paper we focus on the operational issues related to the creation a viable service with a predefined QoS.