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Predictability of Resource Intensive Big Data and HPC Jobs in Cloud Data Centres
2018
2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)
Cloud data centres share physical resources at the same time with multiple users, which can lead to resource interferences. Especially with resource intensive computations like HPC or big data processing jobs, neighbouring applications in a cloud data centre may experience less performance of their assigned virtual resources. This work evaluates the predictability of such resource intensive jobs in principle. The assumption is, that the execution behaviour of such computations depends on the
doi:10.1109/qrs-c.2018.00069
dblp:conf/qrs/HauserDW18
fatcat:p7tcclr5ybgjjgnwdjbstctonq