KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge-Reference-Cited by-同舟云学术

KneeScale: Efficient Resource Scaling for Serverless Computing at the Edge

Published:2022-05 Issue: Volume: Page:
ISSN:
Container-title:2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
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Author:

Li Xue¹,Kang Peng¹,Molone Jordan¹,Wang Wei¹,Lama Palden¹

Affiliation:

1. University of Texas at San Antonio,Department of Computer Science,San Antonio,Texas

Funder

NSF

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9825911/9825913/09826051.pdf?arnumber=9826051

Reference22 articles.

1. BATS

2. Finding a "Kneedle" in a Haystack: Detecting Knee Points in System Behavior

3. Serverless in the wild: Characterizing and optimizing the serverless workload at a large cloud provider;shahrad;USENIX Annual Technical Conference (ATC 20),0

4. Adaptive scaling of Kubernetes pods

5. Exploring potential for non-disruptive vertical auto scaling and resource estimation in ku-bernetes;rattihalli;IEEE International Conference on Cloud Computing (CLOUD),0

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4. A Deep Reinforcement Learning Based Algorithm for Time and Cost Optimized Scaling of Serverless Applications;2024

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