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Digital Library of the
European Council for Modelling and Simulation |
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Title: |
A
Performance Modeling Language For Big Data Architectures |
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Authors: |
Enrico Barbierato, Marco Gribaudo,
Mauro Iacono |
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Published in:
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(2013).ECMS 2013 Proceedings edited
by: W. Rekdalsbakken, R. T. Bye, H. Zhang European Council for Modeling
and Simulation. doi:10.7148/2013 ISBN:
978-0-9564944-6-7 27th
European Conference on Modelling and Simulation, Aalesund, Norway, May 27th –
30th, 2013 |
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Citation
format: |
Enrico Barbierato, Marco Gribaudo,
Mauro Iacono (2013). A Performance Modeling
Language For Big Data Architectures, ECMS 2013 Proceedings
edited by: W. Rekdalsbakken, R. T. Bye, H. Zhang, European Council for Modeling
and Simulation. doi:10.7148/2013-0511 |
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DOI: |
http://dx.doi.org/10.7148/2013-0511 |
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Abstract: |
Big
Data applications represent an emerging field, which have proved to be
crucial in business intelligence and in massive data management. Big Data
promises to be the next big thing in the development of strategical
computer applications, even if it requires considerable investment and an
accurate resource planning, as the architectures needed to perform at the
requisite speed need to scale easily on to a large number of computing nodes.
Appropriate management of such architectures benefits from the availability
of performance models, to allow developers and administrators to take
informed decisions, saving time and experimental work. This paper presents a
dedicated modeling language showing firstly how it is possible to ease the modeling
process and secondly how the semantic gap between modeling logic and the
domain can be reduced. |
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Full
text: |
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