Towards End-to-End QoS and Cost-Aware Resource Scaling in Cloud-Based IoT Data Processing Pipelines

SCC, pp. 287-290, 2018.

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Other Links: dblp.uni-trier.de|academic.microsoft.com

Abstract:

Ensuring cost-effective end-to-end QoS in a multilayer, multi-service, IoT data processing pipeline is a non-trivial challenge. The uncertainties surrounding the 3Vs of streaming data - variety, velocity and volume - impose dynamic QoS-driven resource requirements on each component (or service) of the pipeline and make adaptive resource m...More

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