Development Model and Path of Future Power Grids under the Ubiquitous Electrical Internet of Things

He, Wenqi; Gao, Qiang; Chen, Xinjian; Zhi, Zhang; Guo, Jun; Han, Chang; Lin, Zhenzhi

doi:10.1109/ei247390.2019.9062095

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The edge computing terminal should provide sufficient computing resources for the containers. Therefore, the computing resource configuration model of the container technology-based edge computing terminal can be formulated as The computing resource configuration of the virtual machine technology-based edge computing terminal can be realized using the equation ( 6)- (8).…”

Section: B Computing Resource Configuration Modelmentioning

confidence: 99%

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Workload Modeling for Microservice-Based Edge Computing in Power Internet of Things

et al. 2021

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Microservice-based edge computing is a key technology to support power system to adapt to the high concurrency and diversification of application in power Internet of Things. Workload modeling is not only the basis for analyzing the logical design and computing resource requirements of application, but also the premise of optimizing the computing resource configuration and scheduling of edge computing. In this paper, a workload modeling method for microservice-based edge computing is proposed. The composition of an application and the logical relationship among the microservices are elaborated. Then, the topological structure graph and model are proposed to describe the logical relationship of the microservices. Based on the established model, the workload model is formulated to calculate the computing resource demand and latency of the application. Besides, a microservice-based workload evaluation algorithm is proposed to obtain the configuration results and the latency performance. The influence of the application architecture, topological structure of microservices and virtualization technology of edge computing terminal are analyzed. Simulation results verify the validity of the proposed model and method.

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Section: B Computing Resource Configuration Modelmentioning

confidence: 99%

“…The microservice architecture decompose the application into multiple microservices [6]. Each microservice is deployed independently and the computing resources of each microservice is isolated, which increases the efficiency of application development and computing resource utilization [7][8].…”

Section: Introductionmentioning

confidence: 99%

Workload Modeling for Microservice-Based Edge Computing in Power Internet of Things

et al. 2021

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A Redis Cluster Fault Resolution Method Based on Sentinel Mechanism for IoT Management Platform

Zhu

Yang

et al. 2023

J. Phys.: Conf. Ser.

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Redis cluster is the key component to realize device access. In order to improve the access efficiency of Redis cluster, this paper proposes a Redis cluster method with Sentinel mechanism. The core idea of this method is to add sentries to the Redis cluster and use them to monitor the operation of the Redis cluster. When the Redis cluster fails, the sentinel can realize the fault detection and fault recovery of the Redis cluster, so that the Redis cluster can operate normally. The experiment verifies the effectiveness of this method.

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Workload Modelling Method of Edge Computing Terminals for Distribution Service Under Power Internet of Things

Huang

Chen

Huang

et al. 2021

2021 6th Asia Conference on Power and Electrical Engineering (ACPEE)

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Development Model and Path of Future Power Grids under the Ubiquitous Electrical Internet of Things

Cited by 5 publications

References 8 publications

Workload Modeling for Microservice-Based Edge Computing in Power Internet of Things

Workload Modeling for Microservice-Based Edge Computing in Power Internet of Things

A Redis Cluster Fault Resolution Method Based on Sentinel Mechanism for IoT Management Platform

Workload Modelling Method of Edge Computing Terminals for Distribution Service Under Power Internet of Things

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