Software Rejuvenation in Eucalyptus Cloud Computing Infrastructure: A Method Based on Time Series Forecasting and Multiple Thresholds

Authors:
Jean Araujo;Rubens Matos;Paulo Maciel;Francisco Vieira;Rivalino Matias;Kishor S. Trivedi
Affiliations:
-;-;-;-;-;-
Venue:
WOSAR '11 Proceedings of the 2011 IEEE Third International Workshop on Software Aging and Rejuvenation
Year:
2011

Citing 0
Cited 2

A survey of software aging and rejuvenation studies

ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Reliability and Device Degradation in Emerging Technologies and Special Issue on WoSAR 2011
Software aging in the eucalyptus cloud computing infrastructure: Characterization and rejuvenation

ACM Journal on Emerging Technologies in Computing Systems (JETC) - Special Issue on Reliability and Device Degradation in Emerging Technologies and Special Issue on WoSAR 2011

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Abstract

The need for reliability and availability has increased in modern applications, in order to handle rapidly growing demands while providing uninterrupted service. Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similarly to existing grid and HPC resource management and programming systems. This work proposes an approach that uses time series to schedule rejuvenation, so as to reduce the downtime by predicting the proper moment to perform the rejuvenation.We show the results of our approach through experiments using the Eucalyptus cloud computing framework.