OSμS: An Open-Source Microservice Prototyping Platform

Lamees M. Al Qassem; Thanos Stouraitis; Ernesto Damiani; Ibrahim Abe M. Elfadel

doi:10.1109/CloudCom59040.2023.00049

OSμS: An Open-Source Microservice Prototyping Platform

Lamees M. Al Qassem, Thanos Stouraitis, Ernesto Damiani, Ibrahim Abe M. Elfadel

System-on-Chip Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

One major advantage of microservice cloud architectures is the agility with which microservices can be replicated to help improve the overall quality of service and meet service-level contracts. Their challenge is to carefully balance the horizontal microservice replicas with the vertical resources of CPU, memory, and IO that are allocated to each microservice. The objective of such balancing act is, of course, to avoid both service bottlenecks and resource wastage. In this paper, we present OSμS, a new open-source microservice prototyping platform that has been developed and instrumented from the ground up with the objective of collecting fine-grained, non-proprietary metrology on microservice mesh performance. We will illustrate the use of OSμS for developing and evaluating machine-learning algorithms for the horizontal and vertical autoscaling of microservice architectures. A hybrid algorithm based on decision-tree learning will be implemented on OSμS and compared with the academic state of the art and existing cloud-provider solutions. The advantages of such algorithm in improving horizontal and vertical resource utilization will be highlighted.

Original language	British English
Title of host publication	Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023
Publisher	IEEE Computer Society
Pages	261-268
Number of pages	8
ISBN (Electronic)	9798350339826
DOIs	https://doi.org/10.1109/CloudCom59040.2023.00049
State	Published - 2023
Event	14th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023 - Naples, Italy Duration: 4 Dec 2023 → 6 Dec 2023

Publication series

Name	Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom
ISSN (Print)	2330-2194
ISSN (Electronic)	2330-2186

Conference

Conference	14th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023
Country/Territory	Italy
City	Naples
Period	4/12/23 → 6/12/23

Keywords

Containers
Microservices
Resource Allocation

Access to Document

10.1109/CloudCom59040.2023.00049

Cite this

Al Qassem, L. M., Stouraitis, T., Damiani, E., & Elfadel, I. A. M. (2023). OSμS: An Open-Source Microservice Prototyping Platform. In Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023 (pp. 261-268). (Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom). IEEE Computer Society. https://doi.org/10.1109/CloudCom59040.2023.00049

Al Qassem, Lamees M. ; Stouraitis, Thanos ; Damiani, Ernesto et al. / OSμS : An Open-Source Microservice Prototyping Platform. Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023. IEEE Computer Society, 2023. pp. 261-268 (Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom).

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abstract = "One major advantage of microservice cloud architectures is the agility with which microservices can be replicated to help improve the overall quality of service and meet service-level contracts. Their challenge is to carefully balance the horizontal microservice replicas with the vertical resources of CPU, memory, and IO that are allocated to each microservice. The objective of such balancing act is, of course, to avoid both service bottlenecks and resource wastage. In this paper, we present OSμS, a new open-source microservice prototyping platform that has been developed and instrumented from the ground up with the objective of collecting fine-grained, non-proprietary metrology on microservice mesh performance. We will illustrate the use of OSμS for developing and evaluating machine-learning algorithms for the horizontal and vertical autoscaling of microservice architectures. A hybrid algorithm based on decision-tree learning will be implemented on OSμS and compared with the academic state of the art and existing cloud-provider solutions. The advantages of such algorithm in improving horizontal and vertical resource utilization will be highlighted.",

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year = "2023",

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language = "British English",

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Al Qassem, LM , Stouraitis, T , Damiani, E & Elfadel, IAM 2023, OSμS: An Open-Source Microservice Prototyping Platform. in Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023. Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom, IEEE Computer Society, pp. 261-268, 14th IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023, Naples, Italy, 4/12/23. https://doi.org/10.1109/CloudCom59040.2023.00049

OSμS: An Open-Source Microservice Prototyping Platform. / Al Qassem, Lamees M.; Stouraitis, Thanos ; Damiani, Ernesto et al.
Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023. IEEE Computer Society, 2023. p. 261-268 (Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Al Qassem LM , Stouraitis T , Damiani E , Elfadel IAM. OSμS: An Open-Source Microservice Prototyping Platform. In Proceedings - 2023 IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2023. IEEE Computer Society. 2023. p. 261-268. (Proceedings of the International Conference on Cloud Computing Technology and Science, CloudCom). doi: 10.1109/CloudCom59040.2023.00049

OSμS: An Open-Source Microservice Prototyping Platform

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