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Coordinating Fast Concurrency Adapting With Autoscaling for SLO-Oriented Web Applications

  • Published:2022-12-01 Issue:12 Volume:33 Page:3349-3362
  • ISSN:1045-9219
  • Container-title:IEEE Transactions on Parallel and Distributed Systems
  • language:
  • Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Liu Jianshu1ORCID,Zhang Shungeng2ORCID,Wang Qingyang1ORCID,Wei Jinpeng3

Affiliation:

1. Division of Computer Science and Engineering, Louisiana State University, Baton Rouge, LA, USA

2. School of Cyber and Computer Sciences, Augusta University, Augusta, GA, USA

3. Department of Software and Information Systems, University of North Carolina at Charlotte, Charlotte, NC, USA

Funder

National Science Foundation

Office of Naval Research

Army Research Office

Fujitsu

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Reference53 articles.

1. Amazon cloudwatch: Complete visibility of your cloud resources and applications,2019

2. A Modified Kolmogorov–Smirnov Test for Normality

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1. Towards antifragility of cloud systems: An adaptive chaos driven framework;Information and Software Technology;2024-10

2. Smart HPA: A Resource-Efficient Horizontal Pod Auto-Scaler for Microservice Architectures;2024 IEEE 21st International Conference on Software Architecture (ICSA);2024-06-04

3. Self-adaptive, Requirements-driven Autoscaling of Microservices;Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems;2024-04-15

4. Sonnet: A control-theoretic approach for resource allocation in cluster management;Future Generation Computer Systems;2024-04

5. A Trend Detection-Based Auto-Scaling Method for Containers in High-Concurrency Scenarios;IEEE Access;2024
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