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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 12/2020

11.08.2020 | Research Article - Computer Engineering and Computer Science

Dynamic Scalability Model for Containerized Cloud Services

verfasst von: Said El Kafhali, Iman El Mir, Khaled Salah, Mohamed Hanini

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 12/2020

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Abstract

Cloud computing has become an important research area in large-scale computing systems and is being employed by many organizations in government, businesses, and industry. Schemes and appropriate models for dynamic resources provisioning in the cloud environment have been extensively studied. To date, the research literature is lacking schemes and models that offer dynamic scalability in which Quality of Service (QoS) and high performance are provided to customers with the usage of the least number of cloud resources, especially for containerized services hosted on the cloud. With dynamic scalability, cloud computing can offer on-demand, timely, and dynamically adjustable computing resources to services hosted on the cloud. This paper presents a dynamic scaling model based on queueing theory to scale containers virtual resources and satisfy the customer Service Level Agreements (SLA) while guarding costs of scaling very low. The aim is to improve the virtual computing resources utilization and satisfy SLA constraints in terms of CPU utilization, system response time, system drop rate, system number of tasks, and system throughput. Simulation results are provided using Java Modelling Tools simulation tool, which shows that our proposed model can determine under any offered workload the needed containers instances to satisfy the required QoS parameters.
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Metadaten
Titel
Dynamic Scalability Model for Containerized Cloud Services
verfasst von
Said El Kafhali
Iman El Mir
Khaled Salah
Mohamed Hanini
Publikationsdatum
11.08.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 12/2020
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-04847-2

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