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Published in: Wireless Networks 8/2021

25-10-2021 | Original Paper

Latency-aware content caching and cost-aware migration in SDN based on MEC

Authors: Chunlin Li, Lei Zhu, Youlong Luo

Published in: Wireless Networks | Issue 8/2021

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Abstract

In the mobile edge computing environment, edge servers, edge base stations and other intermediate servers have limited computing, storage resources and limited coverage, resulting in increased content access delays and reduced user experience quality. Content caching methods based on file value and corresponding algorithms are proposed. This method uses Markov chains to predict the mobile user's trajectory in the next time slot, and active caching and cache replacement algorithms are designed to minimize content access latency. In addition, because edge servers are connected to many different access points or base stations, whether or not to migrate the ongoing edge services and where to migrate the services are the key issues to consider when any user moves outside the service area of the related edge servers. To reduce the overhead of service migration due to the mobility of users and the complex topological relationship between edge servers, a de-centralized service migration algorithm is proposed, which integrates the analysis and selection of the optimal edge base station and service placement decisions with the objective of minimizing the overhead of service migration. The experimental results show that the proposed edge caching and service migration methods reduce content access latency and service migration overhead.

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Literature
1.
go back to reference Yun, L., Jie, L., Cao, B., & Wang, C. (2018). Joint optimization of radio and virtual machine resources with uncertain user demands in mobile cloud computing. IEEE Transactions on Multimedia, PP(9), 1. Yun, L., Jie, L., Cao, B., & Wang, C. (2018). Joint optimization of radio and virtual machine resources with uncertain user demands in mobile cloud computing. IEEE Transactions on Multimedia, PP(9), 1.
2.
go back to reference Zhang, K., Mao, Y., Leng, S., et al. (2017). Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading. IEEE Vehicular Technology Magazine, 12(2), 36–44.CrossRef Zhang, K., Mao, Y., Leng, S., et al. (2017). Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading. IEEE Vehicular Technology Magazine, 12(2), 36–44.CrossRef
3.
go back to reference Zhang, L., Cao, B., Li, Y., et al. (2020). A multi-stage stochastic programming-based offloading policy for fog enabled IoT-eHealth. IEEE Journal on Selected Areas in Communications, PP(99), 1. Zhang, L., Cao, B., Li, Y., et al. (2020). A multi-stage stochastic programming-based offloading policy for fog enabled IoT-eHealth. IEEE Journal on Selected Areas in Communications, PP(99), 1.
4.
go back to reference Taleb, T., Samdanis, K., Mada, B., et al. (2017). On multi-access edge computing: A survey of the emerging 5G network edge architecture & orchestration. IEEE Communications Surveys & Tutorials, 19(3), 1657–1681.CrossRef Taleb, T., Samdanis, K., Mada, B., et al. (2017). On multi-access edge computing: A survey of the emerging 5G network edge architecture & orchestration. IEEE Communications Surveys & Tutorials, 19(3), 1657–1681.CrossRef
5.
go back to reference Li, Y., Ma, H., Wang, L., et al. (2020). Optimized content caching and user association for edge computing in densely deployed heterogeneous networks. IEEE Transactions on Mobile Computing, PP(99), 1. Li, Y., Ma, H., Wang, L., et al. (2020). Optimized content caching and user association for edge computing in densely deployed heterogeneous networks. IEEE Transactions on Mobile Computing, PP(99), 1.
6.
go back to reference Li, Y., Xia, S., Zheng, M., Cao, B., & Liu, Q. (2019). Lyapunov optimization based trade-off policy for mobile cloud offloading in heterogeneous wireless networks. IEEE Transactions on Cloud Computing, PP(99), 1. Li, Y., Xia, S., Zheng, M., Cao, B., & Liu, Q. (2019). Lyapunov optimization based trade-off policy for mobile cloud offloading in heterogeneous wireless networks. IEEE Transactions on Cloud Computing, PP(99), 1.
7.
go back to reference Wang, Y., Zhang, Y., Sheng, M., et al. (2019). On the interaction of video caching and retrieving in multi-server mobile-edge computing systems. IEEE wireless communication letters, 8(5), 1444–1447.CrossRef Wang, Y., Zhang, Y., Sheng, M., et al. (2019). On the interaction of video caching and retrieving in multi-server mobile-edge computing systems. IEEE wireless communication letters, 8(5), 1444–1447.CrossRef
8.
go back to reference Li, Y., Liao, C., Wang, Y., et al. (2015). Energy-efficient optimal relay selection in cooperative cellular networks based on double auction. IEEE Transactions on Wireless Communications, 14(8), 4093–4104.CrossRef Li, Y., Liao, C., Wang, Y., et al. (2015). Energy-efficient optimal relay selection in cooperative cellular networks based on double auction. IEEE Transactions on Wireless Communications, 14(8), 4093–4104.CrossRef
9.
go back to reference Chunlin Li; Mingyang Song; Chongchong Yu; YL Luo,. (2021). Mobility and marginal gain based content caching and placement for cooperative edge-cloud computing. Information Sciences, 548, 153–176.CrossRef Chunlin Li; Mingyang Song; Chongchong Yu; YL Luo,. (2021). Mobility and marginal gain based content caching and placement for cooperative edge-cloud computing. Information Sciences, 548, 153–176.CrossRef
10.
go back to reference Li, C., Bai, J., Yi, C., et al. (2020). Resource and replica management strategy for optimizing financial cost and user experience in edge cloud computing system. Information Science, 516, 33–55.MathSciNetCrossRef Li, C., Bai, J., Yi, C., et al. (2020). Resource and replica management strategy for optimizing financial cost and user experience in edge cloud computing system. Information Science, 516, 33–55.MathSciNetCrossRef
11.
go back to reference Li, C., Song, M., Zhang, M., & Luo, Y. (2020). Effective Replica management for Improving Reliability and Availability in Edge-cloud computing environment. Journal of Parallel and Distributed Computing, 143, 107–128.CrossRef Li, C., Song, M., Zhang, M., & Luo, Y. (2020). Effective Replica management for Improving Reliability and Availability in Edge-cloud computing environment. Journal of Parallel and Distributed Computing, 143, 107–128.CrossRef
12.
go back to reference Goian, H. S., Al-Jarrah, O. Y., Muhaidat, S., Al-Hammadi, Y., Yoo, P., & Dianat, M. (2019). Popularity-based video caching techniques for cache-enabled networks: A survey. IEEE Access, 27699–27719. Goian, H. S., Al-Jarrah, O. Y., Muhaidat, S., Al-Hammadi, Y., Yoo, P., & Dianat, M. (2019). Popularity-based video caching techniques for cache-enabled networks: A survey. IEEE Access, 27699–27719.
13.
go back to reference Poularakis, K., Iosifidis, G., Sourlas, V., et al. (2016). Exploiting caching and multicast for 5G wireless networks. IEEE Transactions on Wireless Communications, 15(4), 2995–3007.CrossRef Poularakis, K., Iosifidis, G., Sourlas, V., et al. (2016). Exploiting caching and multicast for 5G wireless networks. IEEE Transactions on Wireless Communications, 15(4), 2995–3007.CrossRef
14.
go back to reference Feng, H., Chen, Z., & Liu, H. (2017). Design and optimization for Vo D services with adaptive mul-ticast and client caching. IEEE Communications Letters, 21(7), 1621–1624.CrossRef Feng, H., Chen, Z., & Liu, H. (2017). Design and optimization for Vo D services with adaptive mul-ticast and client caching. IEEE Communications Letters, 21(7), 1621–1624.CrossRef
15.
go back to reference Liao, J., Wong, K. K., Zhang, Y., et al. (2017). Coding, multicast, and cooperation for cache-enabled heterogeneous small cell networks. IEEE Transactions on Wireless Communications, 16(10), 6838–6853.CrossRef Liao, J., Wong, K. K., Zhang, Y., et al. (2017). Coding, multicast, and cooperation for cache-enabled heterogeneous small cell networks. IEEE Transactions on Wireless Communications, 16(10), 6838–6853.CrossRef
16.
go back to reference Saputra, Y. M., Hoang, D. T., Nguyen, D. N., et al. (2021). A novel mobile edge network architecture with joint caching-delivering and horizontal cooperation. IEEE Transactions on Mobile Computing, 20(1), 19–31.CrossRef Saputra, Y. M., Hoang, D. T., Nguyen, D. N., et al. (2021). A novel mobile edge network architecture with joint caching-delivering and horizontal cooperation. IEEE Transactions on Mobile Computing, 20(1), 19–31.CrossRef
17.
go back to reference Zhong, M. C. Gursoy, & Velipasalar, S. (2018). A deep reinforcement learning-based framework for content caching. 52nd Annual conference on information sciences and systems, pp. 1–6. Zhong, M. C. Gursoy, & Velipasalar, S. (2018). A deep reinforcement learning-based framework for content caching. 52nd Annual conference on information sciences and systems, pp. 1–6.
18.
go back to reference Yan, J., Jiang, Y., et al. (2020). Distributed edge caching with content recommendation in fog-RANs via deep reinforcement learning. IEEE international conference on communications workshops, pp. 1–6. Yan, J., Jiang, Y., et al. (2020). Distributed edge caching with content recommendation in fog-RANs via deep reinforcement learning. IEEE international conference on communications workshops, pp. 1–6.
19.
go back to reference Poularakis, K., Liorca, J., Tulino, M. A., Taylor, I., & Tassiulas, L. (2019). Joint service and request routing in multi-cell mobile edge computing networks. IEEE conference on computer, pp. 10–18. Poularakis, K., Liorca, J., Tulino, M. A., Taylor, I., & Tassiulas, L. (2019). Joint service and request routing in multi-cell mobile edge computing networks. IEEE conference on computer, pp. 10–18.
20.
go back to reference Pasteris, S., Wang, S. Q., Herbster, M., & He, T. (2019). Service placement with provable guarantees in heterogeneous edge computing systems. IEEE conference on computer communications, pp. 514–522. Pasteris, S., Wang, S. Q., Herbster, M., & He, T. (2019). Service placement with provable guarantees in heterogeneous edge computing systems. IEEE conference on computer communications, pp. 514–522.
21.
go back to reference Wang, S., Urgaonkar, R., Zafer, M., et al. (2019). Dynamic service migration in mobile edge computing based on Markov decision process. IEEE/ACM Transactions on Networking, 27(3), 1272–1288.CrossRef Wang, S., Urgaonkar, R., Zafer, M., et al. (2019). Dynamic service migration in mobile edge computing based on Markov decision process. IEEE/ACM Transactions on Networking, 27(3), 1272–1288.CrossRef
22.
go back to reference Ouyang, T., Zhou, Z., & Chen, X. (2018). Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing. IEEE Journal on Selected Areas in Communications, 36(10), 2333–2345.CrossRef Ouyang, T., Zhou, Z., & Chen, X. (2018). Follow me at the edge: Mobility-aware dynamic service placement for mobile edge computing. IEEE Journal on Selected Areas in Communications, 36(10), 2333–2345.CrossRef
23.
go back to reference Yu, N., Xie, Q. Y., Wang, Q. Y., Du, H., Huang, H., & Jia, X. (2008). Collaborative service placement for mobile edge computing applications. IEEE global communications conference, pp. 1–6. Yu, N., Xie, Q. Y., Wang, Q. Y., Du, H., Huang, H., & Jia, X. (2008). Collaborative service placement for mobile edge computing applications. IEEE global communications conference, pp. 1–6.
24.
go back to reference Chen, M., Li, W., Fortino, G., et al. (2019). A dynamic service-migration mechanism in edge cognitive computing. ACM Transactions on Internet Technology, 19(2), 1–30.CrossRef Chen, M., Li, W., Fortino, G., et al. (2019). A dynamic service-migration mechanism in edge cognitive computing. ACM Transactions on Internet Technology, 19(2), 1–30.CrossRef
25.
go back to reference Lu, W., Meng, X. Y., & Guo, G. F. (2019). Fast service migration method based on virtual machine technology for MEC. IEEE Internet of Things Journal, 6(3), 4344–4354.CrossRef Lu, W., Meng, X. Y., & Guo, G. F. (2019). Fast service migration method based on virtual machine technology for MEC. IEEE Internet of Things Journal, 6(3), 4344–4354.CrossRef
26.
go back to reference Hu, M., Wu, D., Wu, W. G., et al. Quantifying the influence of intermittent connectivity on mobile edge computing. IEEE Transactions on Cloud Computing, 1–14. Hu, M., Wu, D., Wu, W. G., et al. Quantifying the influence of intermittent connectivity on mobile edge computing. IEEE Transactions on Cloud Computing, 1–14.
27.
go back to reference Ding, W., Cheng, H., Ping, W., et al. (2017). Zipf’s law in passwords. IEEE Transactions on Information Forensics and Security, 12(11), 2776–2791.CrossRef Ding, W., Cheng, H., Ping, W., et al. (2017). Zipf’s law in passwords. IEEE Transactions on Information Forensics and Security, 12(11), 2776–2791.CrossRef
28.
go back to reference Puliafito, C., Mingozzi, E., Vallati, C., Longo, F., & Merlino, G. (2018). Companion fog computing: Supporting things mobility through container migration at the edge. 4th IEEE international conference on smart computing (SMARTCOMP). IEEE. Puliafito, C., Mingozzi, E., Vallati, C., Longo, F., & Merlino, G. (2018). Companion fog computing: Supporting things mobility through container migration at the edge. 4th IEEE international conference on smart computing (SMARTCOMP). IEEE.
29.
go back to reference Shin, K., Jeon, J., Lee, S., Lim, B., Jeong, M., & Nang J. (2019). Approach for video classification with multi-label on YouTube-8M dataset: Munich, Germany, September 8–14, Lecture Notes in Computer Science. 2019, Vol. 11132, pp. 317–324. Shin, K., Jeon, J., Lee, S., Lim, B., Jeong, M., & Nang J. (2019). Approach for video classification with multi-label on YouTube-8M dataset: Munich, Germany, September 8–14, Lecture Notes in Computer Science. 2019, Vol. 11132, pp. 317–324.
30.
go back to reference Abu, S., Kothari, N., Lee, J., Natsev, P., Toderici, G., Varadarajan, B., & Vijayanarasimhan, S. (2016). YouTube-8M: A large-scale video classification benchmark. Abu, S., Kothari, N., Lee, J., Natsev, P., Toderici, G., Varadarajan, B., & Vijayanarasimhan, S. (2016). YouTube-8M: A large-scale video classification benchmark.
31.
go back to reference Hasslinger, G., Heikkinen, J., Ntougias, K., Hasslinger, F., & Hohlfeld, O. (2018). Optimum caching versus LRU and LFU: Comparison and combined limited look-ahead strategies. 16th International symposium on modeling and optimization in mobile, ad hoc, and wireless networks, pp. 1–6. Hasslinger, G., Heikkinen, J., Ntougias, K., Hasslinger, F., & Hohlfeld, O. (2018). Optimum caching versus LRU and LFU: Comparison and combined limited look-ahead strategies. 16th International symposium on modeling and optimization in mobile, ad hoc, and wireless networks, pp. 1–6.
32.
go back to reference Abdelkrim, E., Salahuddin, M., Elbiaze, H., et al. (2016). A hybrid regression model for video popularity-based cache replacement in content delivery networks. IEEE global communications conference, Washington, DC, USA, pp. 1–7. Abdelkrim, E., Salahuddin, M., Elbiaze, H., et al. (2016). A hybrid regression model for video popularity-based cache replacement in content delivery networks. IEEE global communications conference, Washington, DC, USA, pp. 1–7.
33.
go back to reference Kashiwagi, T., & Kourai, K. (2020). Flexible and efficient partial migration of split-memory VMs. 2020 IEEE 13th International Conference on Cloud Computing (CLOUD). IEEE. Kashiwagi, T., & Kourai, K. (2020). Flexible and efficient partial migration of split-memory VMs. 2020 IEEE 13th International Conference on Cloud Computing (CLOUD). IEEE.
34.
go back to reference Datta, S. K., Da Costa, R. P. F., Härri, J., et al. (2016). Integrating connected vehicles in internet of things ecosystems: Challenges and solutions. 2016 IEEE 17th international symposium on a world of wireless, mobile and multimedia networks (WoW-MoM). Portugal: IEEE Computer Society. Datta, S. K., Da Costa, R. P. F., Härri, J., et al. (2016). Integrating connected vehicles in internet of things ecosystems: Challenges and solutions. 2016 IEEE 17th international symposium on a world of wireless, mobile and multimedia networks (WoW-MoM). Portugal: IEEE Computer Society.
Metadata
Title
Latency-aware content caching and cost-aware migration in SDN based on MEC
Authors
Chunlin Li
Lei Zhu
Youlong Luo
Publication date
25-10-2021
Publisher
Springer US
Published in
Wireless Networks / Issue 8/2021
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-021-02813-w

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