Bookmark Saya

arXiv Open Access 2021

AutoTune: Improving End-to-end Performance and Resource Efficiency for Microservice Applications

Michael Alan Chang Aurojit Panda Hantao Wang Yuancheng Tsai Rahul Balakrishnan +1 lainnya
Lihat Sumber

Abstrak

Most large web-scale applications are now built by composing collections (from a few up to 100s or 1000s) of microservices. Operators need to decide how many resources are allocated to each microservice, and these allocations can have a large impact on application performance. Manually determining allocations that are both cost-efficient and meet performance requirements is challenging, even for experienced operators. In this paper we present AutoTune, an end-to-end tool that automatically minimizes resource utilization while maintaining good application performance.

Topik & Kata Kunci

cs.PF cs.DC

Penulis (6)

M

Michael Alan Chang

A

Aurojit Panda

H

Hantao Wang

Y

Yuancheng Tsai

R

Rahul Balakrishnan

S

Scott Shenker

Format Sitasi

APA MLA BibTeX
Chang, M.A., Panda, A., Wang, H., Tsai, Y., Balakrishnan, R., Shenker, S. (2021). AutoTune: Improving End-to-end Performance and Resource Efficiency for Microservice Applications. https://arxiv.org/abs/2106.10334

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2021
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓