Conference Proceedings

Profit maximization and time minimization admission control and resource scheduling for cloud-based big data analytics-as-a-service platforms

Y Zhao, RN Calheiros, AV Vasilakos, J Bailey, RO Sinnott

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Springer | Published : 2019


© Springer Nature Switzerland AG 2019. Big data analytics typically requires large amounts of resources to process ever-increasing data volumes. This can be time consuming and result in considerable expenses. Analytics-as-a-Service (AaaS) platforms provide a way to tackle expensive resource costs and lengthy data processing times by leveraging automatic resource management with a pay-per-use service delivery model. This paper explores optimization of resource management algorithms for AaaS platforms to automatically and elastically provision cloud resources to execute queries with Service Level Agreement (SLA) guarantees. We present admission control and cloud resource scheduling algorithms ..

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