Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm Article Swipe
Wubin Ma
,
Rui Wang
,
Yuanlin Gu
,
Qinggang Meng
,
Hongbin Huang
,
Su Deng
,
Yahui Wu
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1007/s40747-020-00180-1
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1007/s40747-020-00180-1
For the deployment and startup of microservice instances in different resource centres, we propose an optimization problem model based on the evolutionary multi-objective theory. The objective functions of the model consider the computation and storage resource utilization rate, load balancing rate, and actual microservice usage rate in resource service centres. The constraints of the model are the completeness of service, total amount of storage resources, and total number of microservices. In this study, a knowledge-driven evolutionary algorithm (named MGR-NSGA-III) is proposed to solve the problem model and seek the optimal deployment and startup strategy of microservice instances in different resource centres. The proposed model and solution have been evaluated via real data experiments. The results show that our approach is better than the traditional microservice instance deployment and startup strategy. The average computation rate, storage idle rate, and actual microservice idle rate were 13.21%, 5.2%, and 16.67% lower than those in NSGA-III, respectively. After 50, 100, and 150 evolutionary generations in serval operations, the population members in NGR-NSGA-III dominated the population members in NSGA-III 6,270, 3,581, and 7,978 times in average, respectively, which means that NGR-NSGA-III can converge to the optimal solution much quicker than NSGA-III.
Related Topics
Concepts
Software deployment
Idle
Computer science
Computation
Mathematical optimization
Population
Evolutionary algorithm
Evolutionary computation
Microservices
Service (business)
Resource (disambiguation)
Computational intelligence
Distributed computing
Operations research
Algorithm
Mathematics
Artificial intelligence
Computer network
Operating system
Economics
Economy
Cloud computing
Demography
Sociology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s40747-020-00180-1
- https://link.springer.com/content/pdf/10.1007/s40747-020-00180-1.pdf
- OA Status
- gold
- Cited By
- 19
- References
- 35
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3082277446
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3082277446Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s40747-020-00180-1Digital Object Identifier
- Title
-
Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithmWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-08-30Full publication date if available
- Authors
-
Wubin Ma, Rui Wang, Yuanlin Gu, Qinggang Meng, Hongbin Huang, Su Deng, Yahui WuList of authors in order
- Landing page
-
https://doi.org/10.1007/s40747-020-00180-1Publisher landing page
- PDF URL
-
https://link.springer.com/content/pdf/10.1007/s40747-020-00180-1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://link.springer.com/content/pdf/10.1007/s40747-020-00180-1.pdfDirect OA link when available
- Concepts
-
Software deployment, Idle, Computer science, Computation, Mathematical optimization, Population, Evolutionary algorithm, Evolutionary computation, Microservices, Service (business), Resource (disambiguation), Computational intelligence, Distributed computing, Operations research, Algorithm, Mathematics, Artificial intelligence, Computer network, Operating system, Economics, Economy, Cloud computing, Demography, SociologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
19Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 5, 2023: 3, 2022: 6, 2021: 2Per-year citation counts (last 5 years)
- References (count)
-
35Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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