Survey on the Performance Enhancement in Serverless Computing: Current and Future Directions
Vol. 13, No. 2, pp. 60-75,
Feb. 2024
https://doi.org/10.3745/TKIPS.2024.13.2.60
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Abstract
The demand of users, who want to focus on the core functionality of their applications without having to manage complex virtual
environments in the cloud environment, has created a new computing model called serverless computing. Within the serverless paradigm,
resource provisioning and server administration tasks are delegated to cloud services, facilitating application development exclusively
focused on program logic. Serverless computing has upgraded the utilization of cloud computing by reducing the burden on cloud service
users, and it is expected to become the basic model of cloud computing in the future. A serverless platform is responsible for managing
the cloud virtual environment on behalf of users, and it is also responsible for executing serverless functions that compose applications
in the cloud environment. Considering the characteristics of serverless computing in which users are billed in proportion to the resources
used, the efficiency of the serverless platform is a very important factor for both users and service providers. This paper aims to identify
various factors that affect the performance of serverless computing and analyze the latest research trends related to it. Drawing upon
the analysis, the future directions for serverless computing that address key challenges and opportunities in serverless computing are
proposed.
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Cite this article
[IEEE Style]
E. Lee, "Survey on the Performance Enhancement in Serverless Computing: Current and Future Directions," The Transactions of the Korea Information Processing Society, vol. 13, no. 2, pp. 60-75, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.2.60.
[ACM Style]
Eunyoung Lee. 2024. Survey on the Performance Enhancement in Serverless Computing: Current and Future Directions. The Transactions of the Korea Information Processing Society, 13, 2, (2024), 60-75. DOI: https://doi.org/10.3745/TKIPS.2024.13.2.60.