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

被引：0
|
作者：
Souza, Paulo [1 ]
Nascimento, Joao [1 ]
Boeira, Conrado [1 ]
Vieira, Angelo [1 ]
Rubin, Felipe [1 ]
Reis, Romulo [1 ]
Rossi, Fabio [2 ]
Ferreto, Tiago [1 ]
机构：
[1] Pontificia Univ Catolica Rio Grande do Sul, Porto Alegre, RS, Brazil
[2] Fed Inst Educ Sci & Technol Farroupilha, Alegrete, Brazil
来源：
PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE (CLOSER) | 2020年
关键词：
Edge Computing; Microservices; Genetic Algorithm; Applications Placement;
D O I：
10.5220/0009581604900497
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：490 / 497
页数：8
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