Practical Efficient Microservice Autoscaling with QoS Assurance

Author:

Hossen Md Rajib1,Islam Mohammad A.1,Ahmed Kishwar2

Affiliation:

1. The University of Texas at Arlington, Arlington, TX, USA

2. University of South Carolina Beaufort, Beaufort, SC, USA

Funder

US National Science Foundation

Publisher

ACM

Reference46 articles.

1. The Architectural Implications of Cloud Microservices

2. Y. G. et al., "An open-source benchmark suite for microservices and their hardware-software implications for cloud and edge systems," in ASPLOS , 2019 . Y. G. et al., "An open-source benchmark suite for microservices and their hardware-software implications for cloud and edge systems," in ASPLOS, 2019.

3. R. e. a. Heinrich, "Performance engineering for microservices: research challenges and directions," in ICPE , pp. 223 -- 226 , 2017 . R. e. a. Heinrich, "Performance engineering for microservices: research challenges and directions," in ICPE, pp. 223--226, 2017.

4. X. H. et al., "Alphar: Learning-powered resource management for irregular, dynamic microservice graph," in IPDPS , 2021 . X. H. et al., "Alphar: Learning-powered resource management for irregular, dynamic microservice graph," in IPDPS, 2021.

5. E. Wolff , Microservices: flexible software architecture . Addison-Wesley Professional , 2016 . E. Wolff, Microservices: flexible software architecture. Addison-Wesley Professional, 2016.

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