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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Format: | Article |
Language: | zho |
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China InfoCom Media Group
2018-12-01
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Series: | 物联网学报 |
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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 |