Research on dynamic traffic control strategy of IoT cloud service

Flow control is very important to ensure quality of service in cloud service system.A dynamic two-level flow control strategy was proposed.Using the improved minimum connection number algorithm based on the actual cloud service system,the integrated load of the service node was calculated,load balan...

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Main Authors: Qineng LING, Yichuan WANG, Jiabing YANG, Kan ZHENG
Format: Article
Language:zho
Published: China InfoCom Media Group 2018-12-01
Series:物联网学报
Subjects:
Online Access:http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2018.00082/
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author Qineng LING
Yichuan WANG
Jiabing YANG
Kan ZHENG
author_facet Qineng LING
Yichuan WANG
Jiabing YANG
Kan ZHENG
author_sort Qineng LING
collection DOAJ
description Flow control is very important to ensure quality of service in cloud service system.A dynamic two-level flow control strategy was proposed.Using the improved minimum connection number algorithm based on the actual cloud service system,the integrated load of the service node was calculated,load balancing was performed on each service node and the load was distributed reasonably.Within the service node,a dynamic hierarchical threshold adjustment strategy was proposed to control traffic dynamically.The actual cloud service system performance test shows that with the dynamic two-level flow control strategy,the RPS of the service node is significantly better than the RPS without the strategy,and the resource utilization of the service node is improved.
format Article
id doaj-art-7a8226fa96474b768c33746f8d1996d0
institution Kabale University
issn 2096-3750
language zho
publishDate 2018-12-01
publisher China InfoCom Media Group
record_format Article
series 物联网学报
spelling doaj-art-7a8226fa96474b768c33746f8d1996d02025-01-15T02:52:14ZzhoChina InfoCom Media Group物联网学报2096-37502018-12-012616759643863Research on dynamic traffic control strategy of IoT cloud serviceQineng LINGYichuan WANGJiabing YANGKan ZHENGFlow control is very important to ensure quality of service in cloud service system.A dynamic two-level flow control strategy was proposed.Using the improved minimum connection number algorithm based on the actual cloud service system,the integrated load of the service node was calculated,load balancing was performed on each service node and the load was distributed reasonably.Within the service node,a dynamic hierarchical threshold adjustment strategy was proposed to control traffic dynamically.The actual cloud service system performance test shows that with the dynamic two-level flow control strategy,the RPS of the service node is significantly better than the RPS without the strategy,and the resource utilization of the service node is improved.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2018.00082/load balancingdynamic adjustmentflow controlcloud service system
spellingShingle Qineng LING
Yichuan WANG
Jiabing YANG
Kan ZHENG
Research on dynamic traffic control strategy of IoT cloud service
物联网学报
load balancing
dynamic adjustment
flow control
cloud service system
title Research on dynamic traffic control strategy of IoT cloud service
title_full Research on dynamic traffic control strategy of IoT cloud service
title_fullStr Research on dynamic traffic control strategy of IoT cloud service
title_full_unstemmed Research on dynamic traffic control strategy of IoT cloud service
title_short Research on dynamic traffic control strategy of IoT cloud service
title_sort research on dynamic traffic control strategy of iot cloud service
topic load balancing
dynamic adjustment
flow control
cloud service system
url http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2018.00082/
work_keys_str_mv AT qinengling researchondynamictrafficcontrolstrategyofiotcloudservice
AT yichuanwang researchondynamictrafficcontrolstrategyofiotcloudservice
AT jiabingyang researchondynamictrafficcontrolstrategyofiotcloudservice
AT kanzheng researchondynamictrafficcontrolstrategyofiotcloudservice