Towards Combining Reactive and Proactive Cloud Elasticity on Running HPC Applications

Vinicius Facco Rodrigues, Rodrigo da Rosa Righi, Cristiano André da Costa, Dhananjay Singh, Víctor Mendez Munoz, Victor Chang

Abstract

The elasticity feature of cloud computing has been proved as pertinent for parallel applications, since users do not need to take care about the best choice for the number of processes/resources beforehand. To accomplish this, the most common approaches use threshold-based reactive elasticity or time-consuming proactive elasticity. However, both present at least one problem related to: the need of a previous user experience, lack on handling load peaks, completion of parameters or design for a specific infrastructure and workload setting. In this regard, we developed a hybrid elasticity service for parallel applications named SelfElastic. As parameterless model, SelfElastic presents a closed control loop elasticity architecture that adapts at runtime the values of lower and upper thresholds. Besides presenting SelfElastic, our purpose is to provide a comparison with our previous work on reactive elasticity called AutoElastic. The results present the SelfElastic’s lightweight feature, besides highlighting its performance competitiveness in terms of application time and cost metrics.

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Paper Citation


in Harvard Style

Facco Rodrigues V., Righi R., André da Costa C., Singh D., Munoz V. and Chang V. (2018). Towards Combining Reactive and Proactive Cloud Elasticity on Running HPC Applications.In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-296-7, pages 261-268. DOI: 10.5220/0006761302610268


in Bibtex Style

@conference{iotbds18,
author={Vinicius Facco Rodrigues and Rodrigo da Rosa Righi and Cristiano André da Costa and Dhananjay Singh and Víctor Mendez Munoz and Victor Chang},
title={Towards Combining Reactive and Proactive Cloud Elasticity on Running HPC Applications},
booktitle={Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2018},
pages={261-268},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006761302610268},
isbn={978-989-758-296-7},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Towards Combining Reactive and Proactive Cloud Elasticity on Running HPC Applications
SN - 978-989-758-296-7
AU - Facco Rodrigues V.
AU - Righi R.
AU - André da Costa C.
AU - Singh D.
AU - Munoz V.
AU - Chang V.
PY - 2018
SP - 261
EP - 268
DO - 10.5220/0006761302610268