Crowd-based collaboration caching mechanism in smart identifier network
Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the devel...
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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 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2018.00078/ |
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| _version_ | 1841531246354628608 |
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| author | Haifeng LI Wei QUAN Nan CHENG Hongke ZHANG Xuemin SHEN |
| author_facet | Haifeng LI Wei QUAN Nan CHENG Hongke ZHANG Xuemin SHEN |
| author_sort | Haifeng LI |
| collection | DOAJ |
| description | Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%. |
| format | Article |
| id | doaj-art-59dec23c5454480da28a84a89f568402 |
| 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-59dec23c5454480da28a84a89f5684022025-01-15T02:52:13ZzhoChina InfoCom Media Group物联网学报2096-37502018-12-01251359643733Crowd-based collaboration caching mechanism in smart identifier networkHaifeng LIWei QUANNan CHENGHongke ZHANGXuemin SHENSmart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2018.00078/smart identifier networkin-network cachecrowd-based collaborationmaximum benefit cache |
| spellingShingle | Haifeng LI Wei QUAN Nan CHENG Hongke ZHANG Xuemin SHEN Crowd-based collaboration caching mechanism in smart identifier network 物联网学报 smart identifier network in-network cache crowd-based collaboration maximum benefit cache |
| title | Crowd-based collaboration caching mechanism in smart identifier network |
| title_full | Crowd-based collaboration caching mechanism in smart identifier network |
| title_fullStr | Crowd-based collaboration caching mechanism in smart identifier network |
| title_full_unstemmed | Crowd-based collaboration caching mechanism in smart identifier network |
| title_short | Crowd-based collaboration caching mechanism in smart identifier network |
| title_sort | crowd based collaboration caching mechanism in smart identifier network |
| topic | smart identifier network in-network cache crowd-based collaboration maximum benefit cache |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2018.00078/ |
| work_keys_str_mv | AT haifengli crowdbasedcollaborationcachingmechanisminsmartidentifiernetwork AT weiquan crowdbasedcollaborationcachingmechanisminsmartidentifiernetwork AT nancheng crowdbasedcollaborationcachingmechanisminsmartidentifiernetwork AT hongkezhang crowdbasedcollaborationcachingmechanisminsmartidentifiernetwork AT xueminshen crowdbasedcollaborationcachingmechanisminsmartidentifiernetwork |