Evaluating serverless computing in clouds

• Main Author: Chandrasekhar, Aditya
• Other Authors: Tang Xueyan
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/166056
• Institution: Nanyang Technological University

Applications utilization of cloud resources is expected to be completely transformed by FaaS. Nevertheless, because initializing their code and data dependencies is required before a function can start executing, it suffers from cold-start issues. The overhead associated with cold starts can be reduced by keeping functions alive and warm after they have completed execution. Because to the variety of FaaS workloads, keep-alive strategies must maintain functions based on their resource and usage characteristics, which is difficult. Caching Algorithms can be used as Keep-Alive policies. Therefore, we explore various caching algorithms as Keep-Alive policies to study their performance. We attempt to provide a balance between cold start overhead and server utilization. In this report, we provide an experimental study of caching based algorithms and compare it to the standard TTL keep-alive policy with the help of a DES.