Title | ||
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Run Wild: Resource Management System with Generalized Modeling for Microservices on Cloud |
Abstract | ||
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Microservice architecture competes with the traditional monolithic design by offering benefits of agility, flexibility, reusability resilience, and ease of use. Nevertheless, due to the increase in internal communication complexity, care must be taken for resource-usage scaling in harmony with placement scheduling, and request balancing to prevent cascading performance degradation across microserv... |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/CLOUD53861.2021.00079 | 2021 IEEE 14th International Conference on Cloud Computing (CLOUD) |
Keywords | DocType | ISSN |
Cloud computing,Processor scheduling,Computational modeling,Prototypes,Predictive models,Dynamic scheduling,Throughput | Conference | 2159-6182 |
ISBN | Citations | PageRank |
978-1-6654-0060-2 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sunyanan Choochotkaew | 1 | 0 | 1.69 |
tatsuhiro chiba | 2 | 2 | 1.76 |
Scott Trent | 3 | 25 | 3.03 |
Marcelo Amaral | 4 | 4 | 1.11 |