Content Placement Problem in a Hierarchical Collaborative Caching method for 5G networks (CPP-HCC)

The increasing demand for video streaming has imposed tremendous data rates and minimal end-to-end latency requirements on 5G mobile networks. Caching content close to the users is one of the conventional ways to meet these requirements. Subsequent requests for the same content can be supplied from the cache with minimal delay. In this paper, we present a content placement problem in a hierarchical collaborative caching (CPP-HCC) in 5G networks that can determine the location of the replica contents by solving an optimization problem. This optimization problem minimizes the latency for transferring content between entities of the network. The evaluation results confirm the efficiency of CPP-HCC compared to other benchmark methods and show that the latency and hit ratio can be improved by 83% and 62%, respectively.

[1]  Francesco Musumeci,et al.  Techno-Economic Evaluation of CDN Deployments in Metropolitan Area Networks , 2017, 2017 International Conference on Networking and Network Applications (NaNA).

[2]  Lena Wosinska,et al.  Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks , 2020, Networks.

[3]  Nikolaos Laoutaris,et al.  Meta algorithms for hierarchical Web caches , 2004, IEEE International Conference on Performance, Computing, and Communications, 2004.

[4]  Francesco Musumeci,et al.  Energy-Efficient Video-On-Demand Content Caching and Distribution in Metro Area Networks , 2019, IEEE Transactions on Green Communications and Networking.

[5]  Huaiyu Dai,et al.  A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions , 2017, IEEE Communications Surveys & Tutorials.

[6]  Neeraj Kumar,et al.  Device-to-device content caching techniques in 5G: A taxonomy, solutions, and challenges , 2020, Comput. Commun..

[7]  Giovanni Stea,et al.  Simulating device-to-device communications in OMNeT++ with SimuLTE: scenarios and configurations , 2016, ArXiv.

[8]  Wei Lu,et al.  GHCC: Grouping-based and hierarchical collaborative caching for mobile edge computing , 2018, 2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt).

[9]  Xiaofei Wang,et al.  Cache in the air: exploiting content caching and delivery techniques for 5G systems , 2014, IEEE Communications Magazine.

[10]  Yang Li,et al.  Collaborative EPC and RAN Caching Algorithms for LTE Mobile Networks , 2014, 2015 IEEE Global Communications Conference (GLOBECOM).

[11]  Jagruti Sahoo,et al.  A Survey on Replica Server Placement Algorithms for Content Delivery Networks , 2016, IEEE Communications Surveys & Tutorials.

[12]  Zhenwei Yu,et al.  Cooperative Caching Strategies for Mobile Peer-to-Peer Networks: A Survey , 2016 .

[13]  Min Chen,et al.  Mobility-Aware Caching and Computation Offloading in 5G Ultra-Dense Cellular Networks , 2016, Sensors.

[14]  Klaus Wehrle,et al.  Modeling and Tools for Network Simulation , 2010, Modeling and Tools for Network Simulation.

[15]  José Costa-Requena,et al.  Caching using software-defined networking in LTE networks , 2014, 2014 IEEE International Conference on Advanced Networks and Telecommuncations Systems (ANTS).

[16]  Jagruti Sahoo,et al.  A Survey on Content Placement Algorithms for Cloud-Based Content Delivery Networks , 2018, IEEE Access.

[17]  Akkermans Hans,et al.  Use Cases and Requirements , 2015 .

[18]  Choong Seon Hong,et al.  Collaborative cache allocation and computation offloading in mobile edge computing , 2017, 2017 19th Asia-Pacific Network Operations and Management Symposium (APNOMS).

[19]  Jiawei Zhu,et al.  EPCache: In-network video caching for LTE core networks , 2013, 2013 International Conference on Wireless Communications and Signal Processing.

[20]  Renchao Xie,et al.  Hierarchical collaborative caching in 5G networks , 2018, IET Commun..