A multi-task genetic programming approach for online multi-objective container placement in heterogeneous cluster
Ruochen Liu,
Haoyuan Lv,
Ping Yang
et al.
Abstract:Owing to the potential for fast deployment, containerization technology has been widely used in web applications based on microservice architecture. Online container placement aims to improve resource utilization and meet other service quality requirements of cloud data centers. Most current heuristic and hyper-heuristic methods for container placement rely on single allocation rules, which are inefficient in heterogeneous cluster scenarios. Moreover, some container placement tasks often have similar character… Show more
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