Cloud autoscaling for HTTP/2 workloads

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

doi:10.1109/CloudTech.2017.8284720

Cloud autoscaling for HTTP/2 workloads

Maria Carla Calzarossa, Luisa Massari^*, Momin I. M. Tabash, Daniele Tessera

^*Corresponding author

University of Pavia

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

loud 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.

Original language	English
Title of host publication	2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)
Pages	12-17
Number of pages	6
DOIs	https://doi.org/10.1109/CloudTech.2017.8284720
Publication status	Published - 2017
Event	2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech) - Rabatt - Marocco Duration: 24 Oct 2017 → 26 Oct 2017

Conference

Conference	2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)
City	Rabatt - Marocco
Period	24/10/17 → 26/10/17

Keywords

Cloud computing
Web servers

Access to Document

10.1109/CloudTech.2017.8284720

Cite this

@inproceedings{2b86e1b396e84868b3fd4fa5239e31fd,

title = "Cloud autoscaling for HTTP/2 workloads",

abstract = "loud 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.",

keywords = "Cloud computing, Web servers, Cloud computing, Web servers",

author = "Calzarossa, {Maria Carla} and Luisa Massari and Tabash, {Momin I. M.} and Daniele Tessera",

year = "2017",

doi = "10.1109/CloudTech.2017.8284720",

language = "English",

isbn = "978-1-5386-1115-9",

pages = "12--17",

booktitle = "2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)",

note = "2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech) ; Conference date: 24-10-2017 Through 26-10-2017",

}

Calzarossa, MC, Massari, L, Tabash, MIM & Tessera, D 2017, Cloud autoscaling for HTTP/2 workloads. in 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech). pp. 12-17, 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech), Rabatt - Marocco, 24/10/17. https://doi.org/10.1109/CloudTech.2017.8284720

TY - GEN

T1 - Cloud autoscaling for HTTP/2 workloads

AU - Calzarossa, Maria Carla

AU - Massari, Luisa

AU - Tabash, Momin I. M.

AU - Tessera, Daniele

PY - 2017

Y1 - 2017

N2 - loud 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.

AB - loud 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.

KW - Cloud computing

KW - Web servers

KW - Cloud computing

KW - Web servers

UR - http://hdl.handle.net/10807/121333

U2 - 10.1109/CloudTech.2017.8284720

DO - 10.1109/CloudTech.2017.8284720

M3 - Conference contribution

SN - 978-1-5386-1115-9

SP - 12

EP - 17

BT - 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)

T2 - 2017 3rd International Conference of Cloud Computing Technologies and Applications (CloudTech)

Y2 - 24 October 2017 through 26 October 2017

ER -

Cloud autoscaling for HTTP/2 workloads

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Keywords

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