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Cluster Computing
Published in: Cluster Computing 5/2023

20-10-2022

Design and implementation of an efficient VM scheduling framework for interactive streaming service

Authors: Jongbeen Han, Hyeonsang Eom, Yongseok Son

Published in: Cluster Computing | Issue 5/2023

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Abstract

Cloud computing has become widely used to provide many services such as analyzing and streaming data to increase scalability and minimize up-front IT infrastructure costs. However, to make the best use of cloud infrastructures in terms of performance and cost, efficient virtual machine (VM) management is required. In this article, we propose a VM scheduling framework for automatic and cost-effective management of VMs for streaming services. The framework controls and manages the life-cycle and status of multiple VMs in the cloud platform automatically. In addition, we reduce VM response time by applying a VM scheduling policy (e.g., LRU algorithm) based on content usage. We implement the VM scheduling framework based on the Google Cloud platform (GCP). The experimental results show that the streaming services based on the proposed framework can provide lower costs with fewer performance overheads than the streaming services without the framework.
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Metadata
Title
Design and implementation of an efficient VM scheduling framework for interactive streaming service
Authors
Jongbeen Han
Hyeonsang Eom
Yongseok Son
Publication date
20-10-2022
Publisher
Springer US
Published in
Cluster Computing / Issue 5/2023
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-022-03762-5

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