Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things
As a novel computing technology closer to business ends, edge computing has become an effective solution for delay sensitive business of power Internet of Things (IoT). However, the uneven spatial and temporal distribution of business requests in edge network leads to a significant difference in bus...
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doaj-532b9c2dc3124f72b53a2a5de3f26fb32021-03-30T02:30:23ZengIEEEIEEE Access2169-35362020-01-01811840511841610.1109/ACCESS.2020.30046159123899Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of ThingsZitong Ma0https://orcid.org/0000-0001-5440-2062Sujie Shao1https://orcid.org/0000-0003-3945-0706Shaoyong Guo2Zhili Wang3Feng Qi4Ao Xiong5State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaState Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, ChinaAs a novel computing technology closer to business ends, edge computing has become an effective solution for delay sensitive business of power Internet of Things (IoT). However, the uneven spatial and temporal distribution of business requests in edge network leads to a significant difference in business busyness between edge nodes. Due to the natural lightweight and portability, container migration has become a critical technology for load balancing, thereby optimizing the resource utilization of edge nodes. To this end, this paper proposes a container migration-based decision-making (CMDM) mechanism in power IoT. First, a load differentiation matrix model between edge nodes is constructed to determine the timing of container migration. Then, a container migration model of load balancing joint migration cost (LBJC) is established to minimize the impact of container migration while balancing the load of edge network. Finally, the migration priority of containers is determined from the perspective of resource correlation and business relevance, and by introducing a pseudo-random ratio rule and combining the local pheromone evaporation with global pheromone update at the same time, a migration algorithm based on modified Ant Colony System (MACS) is designed to utilize the LBJC model and thus guiding the choice of possible migration actions. The simulation results show that compared with genetic algorithm (GA) and Space Aware Best Fit Decreasing (SABFD) algorithm, the comprehensive performance of CMDM in load balancing joint migration cost is improved by 7.3% and 12.5% respectively.https://ieeexplore.ieee.org/document/9123899/Container migrationload balancingmigration costedge computingpower Internet of Things |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zitong Ma Sujie Shao Shaoyong Guo Zhili Wang Feng Qi Ao Xiong |
spellingShingle |
Zitong Ma Sujie Shao Shaoyong Guo Zhili Wang Feng Qi Ao Xiong Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things IEEE Access Container migration load balancing migration cost edge computing power Internet of Things |
author_facet |
Zitong Ma Sujie Shao Shaoyong Guo Zhili Wang Feng Qi Ao Xiong |
author_sort |
Zitong Ma |
title |
Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things |
title_short |
Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things |
title_full |
Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things |
title_fullStr |
Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things |
title_full_unstemmed |
Container Migration Mechanism for Load Balancing in Edge Network Under Power Internet of Things |
title_sort |
container migration mechanism for load balancing in edge network under power internet of things |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
As a novel computing technology closer to business ends, edge computing has become an effective solution for delay sensitive business of power Internet of Things (IoT). However, the uneven spatial and temporal distribution of business requests in edge network leads to a significant difference in business busyness between edge nodes. Due to the natural lightweight and portability, container migration has become a critical technology for load balancing, thereby optimizing the resource utilization of edge nodes. To this end, this paper proposes a container migration-based decision-making (CMDM) mechanism in power IoT. First, a load differentiation matrix model between edge nodes is constructed to determine the timing of container migration. Then, a container migration model of load balancing joint migration cost (LBJC) is established to minimize the impact of container migration while balancing the load of edge network. Finally, the migration priority of containers is determined from the perspective of resource correlation and business relevance, and by introducing a pseudo-random ratio rule and combining the local pheromone evaporation with global pheromone update at the same time, a migration algorithm based on modified Ant Colony System (MACS) is designed to utilize the LBJC model and thus guiding the choice of possible migration actions. The simulation results show that compared with genetic algorithm (GA) and Space Aware Best Fit Decreasing (SABFD) algorithm, the comprehensive performance of CMDM in load balancing joint migration cost is improved by 7.3% and 12.5% respectively. |
topic |
Container migration load balancing migration cost edge computing power Internet of Things |
url |
https://ieeexplore.ieee.org/document/9123899/ |
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