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IRENE: Interference and High Availability Aware Microservice-based Applications Placement for Edge Computing

Topics: Microservices: Atomation Deployment and Management, Resource Allocation Elasticity, Service State and Resilience; Mobile Cloud Architectures and Models; Mobile Cloud Computing Models, Infrastructures and Approaches; Native Cloud Applications; QoS for Applications on Clouds; Resource Management

Authors: Paulo Souza 1 ; João Nascimento 1 ; Conrado Boeira 1 ; Ângelo Vieira 1 ; Felipe Rubin 1 ; Rômulo Reis 1 ; Fábio Rossi 2 and Tiago Ferreto 1

Affiliations: 1 Pontifical Catholic University of Rio Grande do Sul, Porto Alegre, Brazil ; 2 Federal Institute of Education, Science and Technology Farroupilha, Alegrete, Brazil

Keyword(s): Edge Computing, Microservices, Genetic Algorithm, Applications Placement.

Abstract: The adoption of microservice-based applications in Edge Computing is increasing, as a result of the improved maintainability and scalability delivered by these highly-distributed and decoupled applications. On the other hand, Edge Computing operators must be aware of availability and resource contention issues when placing microservices on the edge infrastructure to avoid applications’ performance degradation. In this paper, we present IRENE, a genetic algorithm designed to improve the performance of microservice-based applications in Edge Computing by preventing performance degradation caused by resource contention and increasing the application’s availability as a means for avoiding SLA violations. Experiments were carried, and the results showed IRENE effectiveness over different existing strategies in different scenarios. In future investigations, we intend to extend IRENE’s interference awareness to the network level.

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Paper citation in several formats:
Souza, P.; Nascimento, J.; Boeira, C.; Vieira, Â.; Rubin, F.; Reis, R.; Rossi, F. and Ferreto, T. (2020). IRENE: Interference and High Availability Aware Microservice-based Applications Placement for Edge Computing. In Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER; ISBN 978-989-758-424-4; ISSN 2184-5042, SciTePress, pages 490-497. DOI: 10.5220/0009581604900497

@conference{closer20,
author={Paulo Souza. and João Nascimento. and Conrado Boeira. and Ângelo Vieira. and Felipe Rubin. and Rômulo Reis. and Fábio Rossi. and Tiago Ferreto.},
title={IRENE: Interference and High Availability Aware Microservice-based Applications Placement for Edge Computing},
booktitle={Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER},
year={2020},
pages={490-497},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009581604900497},
isbn={978-989-758-424-4},
issn={2184-5042},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Cloud Computing and Services Science - CLOSER
TI - IRENE: Interference and High Availability Aware Microservice-based Applications Placement for Edge Computing
SN - 978-989-758-424-4
IS - 2184-5042
AU - Souza, P.
AU - Nascimento, J.
AU - Boeira, C.
AU - Vieira, Â.
AU - Rubin, F.
AU - Reis, R.
AU - Rossi, F.
AU - Ferreto, T.
PY - 2020
SP - 490
EP - 497
DO - 10.5220/0009581604900497
PB - SciTePress

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