arXiv Open Access 2023

Towards Serverless Optimization with In-place Scaling

Vincent Hsieh Jerry Chou
Lihat Sumber

Abstrak

Serverless computing has gained popularity due to its cost efficiency, ease of deployment, and enhanced scalability. However, in serverless environments, servers are initiated only after receiving a request, leading to increased response times. This delay is commonly known as the cold start problem. In this study, we explore the in-place scaling feature released in Kubernetes v1.27 and examine its impact on serverless computing. Our experimental results reveal improvements in request latency, with reductions ranging from 1.16 to 18.15 times across various workloads when compared to traditional cold policy.

Topik & Kata Kunci

Penulis (2)

V

Vincent Hsieh

J

Jerry Chou

Format Sitasi

Hsieh, V., Chou, J. (2023). Towards Serverless Optimization with In-place Scaling. https://arxiv.org/abs/2311.09526

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2023
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓