Joint optimization of edge computing and caching in NDN
Named data networking (NDN) is architecturally easier to integrate with edge computing as its routing is based on content names and its nodes have caching capabilities.Firstly, an integrated framework was proposed for implementing dynamic coordination of networking, computing and caching in NDN.Then...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2022-08-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022160/ |
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| _version_ | 1841539983169552384 |
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| author | Yu ZHANG Min CHENG |
| author_facet | Yu ZHANG Min CHENG |
| author_sort | Yu ZHANG |
| collection | DOAJ |
| description | Named data networking (NDN) is architecturally easier to integrate with edge computing as its routing is based on content names and its nodes have caching capabilities.Firstly, an integrated framework was proposed for implementing dynamic coordination of networking, computing and caching in NDN.Then, considering the variability of content popularity in different regions, a matrix factorization-based algorithm was proposed to predict local content popularity, and deep reinforcement learning was used to solve the the problem of joint optimization for computing and caching resource allocation and cache placement policy with the goal of maximizing system operating profit.Finally, the simulation environment was built in ndnSIM.The simulation results show that the proposed scheme has significant advantages in improving cache hit rate, reducing the average delay and the load on the remote servers. |
| format | Article |
| id | doaj-art-91df3b316d244a9ab2166c0489793309 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2022-08-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-91df3b316d244a9ab2166c04897933092025-01-14T06:29:00ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2022-08-014316417559392525Joint optimization of edge computing and caching in NDNYu ZHANGMin CHENGNamed data networking (NDN) is architecturally easier to integrate with edge computing as its routing is based on content names and its nodes have caching capabilities.Firstly, an integrated framework was proposed for implementing dynamic coordination of networking, computing and caching in NDN.Then, considering the variability of content popularity in different regions, a matrix factorization-based algorithm was proposed to predict local content popularity, and deep reinforcement learning was used to solve the the problem of joint optimization for computing and caching resource allocation and cache placement policy with the goal of maximizing system operating profit.Finally, the simulation environment was built in ndnSIM.The simulation results show that the proposed scheme has significant advantages in improving cache hit rate, reducing the average delay and the load on the remote servers.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022160/named data networkingedge computingcache policydeep reinforcement learning |
| spellingShingle | Yu ZHANG Min CHENG Joint optimization of edge computing and caching in NDN Tongxin xuebao named data networking edge computing cache policy deep reinforcement learning |
| title | Joint optimization of edge computing and caching in NDN |
| title_full | Joint optimization of edge computing and caching in NDN |
| title_fullStr | Joint optimization of edge computing and caching in NDN |
| title_full_unstemmed | Joint optimization of edge computing and caching in NDN |
| title_short | Joint optimization of edge computing and caching in NDN |
| title_sort | joint optimization of edge computing and caching in ndn |
| topic | named data networking edge computing cache policy deep reinforcement learning |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022160/ |
| work_keys_str_mv | AT yuzhang jointoptimizationofedgecomputingandcachinginndn AT mincheng jointoptimizationofedgecomputingandcachinginndn |