Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach-Reference-Cited by-同舟云学术

Characterization of Microservice Response Time in Kubernetes: A Mixture Density Network Approach

Published:2023-10-30 Issue: Volume: Page:
ISSN:
Container-title:2023 19th International Conference on Network and Service Management (CNSM)
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Author:

Manca Lorenzo¹,Borsatti Davide¹,Poltronieri Filippo²,Zaccarini Mattia²,Scotece Domenico¹,Davoli Gianluca¹,Foschini Luca¹,Grabarnik Genady Ya.³,Shwartz Larisa⁴,Stefanelli Cesare²,Tortonesi Mauro²,Cerroni Walter¹

Affiliation:

1. University of Bologna,Bologna,Italy

2. University of Ferrara,Distributed Systems Research Group,Ferrara,Italy

3. St. John's University,Department of Mathematics and Computer Science,Queens,NY,USA

4. Operational Innovation, IBM TJ Watson Research Center,NY,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10327686/10327788/10327842.pdf?arnumber=10327842

Reference23 articles.

1. Dynamically meeting performance objectives for multiple services on a service mesh

2. Distributed resource auto scaling in kubemetes edge clusters;spatharakis;2022 18th International Conference on Network and Service Management (CNSM) 2022,0

3. SciPy 1.0: fundamental algorithms for scientific computing in Python

4. A Novel Network Delay Prediction Model with Mixed Multi-layer Perceptron Architecture for Edge Computing

5. Intelligent Autoscaling of Microservices in the Cloud for Real-Time Applications

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