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Cloud autoscaling for HTTP/2 workloads

Authors: Maria Carla Calzarossa; Luisa Massari; Momin I. M. Tabash; Daniele Tessera;

Cloud autoscaling for HTTP/2 workloads

Abstract

Cloud computing provides cost effective solutions for deploying services and applications. Even though resources can be provisioned on demand, they need to adapt quickly and in a seamless way to the workload intensity and characteristics and satisfy at the same time the desired performance levels and the corresponding SLAs. Autoscaling policies are devised for these purposes. In this paper, we apply a state-of-the-art reactive autoscaling policy to assess the effects of deploying the HTTP/2 server push mechanism in cloud environments. Our simulation experiments — that rely on extensions of the CloudSim toolkit — have shown that the autoscaling mechanism is beneficial for web servers even though pushing a large number of objects might lead to server overload.

Country
Italy
Keywords

Cloud computing, Web servers

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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