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

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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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Funding

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. NRF-2021R1C1C1010861, NRF-2022R1A4A5034130, NRF-2021R1F1A1063438). This work was supported in part by the Korea Institute for Advancement of Technology (KIAT) grant funded by Korea government (MOTIE) (KIAT-P0012724). This work was supported in part by the BK21 FOUR Intelligence Computing (Department of Computer Science and Engineering, SNU) funded by the Ministry of Education (MOE, South Korea); in part by the National Research Foundation of Korea (NRF) under Grant 4199990214639.

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Authors and Affiliations

  1. Seoul National University, Seoul, South Korea

    Jongbeen Han & Hyeonsang Eom

  2. Chung-Ang University, Seoul, South Korea

    Yongseok Son

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  1. Jongbeen Han
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  2. Hyeonsang Eom
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  3. Yongseok Son
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Contributions

JH contributed the paper through conceptualization, methodology, software, and writing. HE contributed the paper through conceptualization, discussion, and supervision. YS contributed the paper through conceptualization, discussion, writing, and supervision.

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Correspondence to Jongbeen Han.

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Han, J., Eom, H. & Son, Y. Design and implementation of an efficient VM scheduling framework for interactive streaming service. Cluster Comput 26, 2801–2814 (2023). https://doi.org/10.1007/s10586-022-03762-5

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