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Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT
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DOI：10.1109/JIOT.2020.2981958.png)
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摘要
En 中文
In recent years, the rapid development of mobile edge computing (MEC) provides an efficient execution platform at the edge for Internet-of-Things (IoT) applications. Nevertheless, the MEC also provides optimal resources to different microservices, however, underlying network conditions and infrastructures inherently affect the execution process in MEC. Therefore, in the presence of varying network conditions, it is necessary to optimally execute the available task of end users while maximizing the energy efficiency in edge platform and we also need to provide fair Quality-of-Service (QoS). On the other hand, it is necessary to schedule the microservices dynamically to minimize the total network delay and network price. Thus, in this article, unlike most of the existing works, we propose a dynamic microservice scheduling scheme for MEC. We design the microservice scheduling framework mathematically and also discuss the computational complexity of the scheduling algorithm. Extensive simulation results show that the microservice scheduling framework significantly improves the performance metrics in terms of total network delay, average price, satisfaction level, energy consumption rate (ECR), failure rate, and network throughput over other existing baselines.
Keyword:
Dynamic scheduling
Task analysis
Internet of Things
Delays
Quality of service
Processor scheduling
Edge computing
Dynamic microservice scheduling
edge computing
Internet of Things (IoT)
microservice
Quality-of-Service (QoS)
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
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