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Digital Library of the
European Council for Modelling and Simulation |
Title: |
Data-Aware Scheduling In Massive Heterogeneous Systems |
Authors: |
Magdalena Szmajduch, Joanna Kolodziej |
Published in: |
(2015).ECMS 2015 Proceedings edited by: Valeri M. Mladenov,
Grisha Spasov, Petia Georgieva, Galidiya Petrova, European Council for
Modeling and Simulation. doi:10.7148/2015 ISBN:
978-0-9932440-0-1 29th
European Conference on Modelling and Simulation, Albena
(Varna), Bulgaria, May 26th – 29th,
2015 |
Citation
format: |
Magdalena Szmajduch, Joanna Kolodziej
(2015). Data-Aware Scheduling In Massive Heterogeneous Systems, ECMS 2015
Proceedings edited by: Valeri M. Mladenov, Petia Georgieva, Grisha Spasov,
Galidiya Petrova European
Council for Modeling and Simulation. doi:10.7148/2015-0601 |
DOI: |
http://dx.doi.org/10.7148/2015-0601 |
Abstract: |
Data-aware scheduling in large-scale
heterogeneous computing systems remains a challenging research issue,
especially in the era of Big Data. Design of all data-related components of
the popular distributed environments, such as Data Clouds (DCs), Data Grids
(DGs) and Data Centers supports the processing, analysis and monitoring of
the big data generated by various sources at computing centers by the
end-users, devices and services. The above facts leave no doubts that data
scheduling must be integrated in a single joint process together with the
scheduling of computer tasks and applications. Therefore, many of the current
optimization issues need to be changed and new requirements have to be
considered in the scheduling process. This includes data transmission times,
data processing times, availability of the data servers, safety and
authentication in the data access processes. This paper presents a new
version of the Expected Time to Compute Matrix model (ETC Matrix) for the
case of data-aware independent batch scheduling in physical network in DGs
and DCs environments. Simple geneticbased schedulers have been developed for
experimental justification of the significance of the presented problem. |
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