Edge-CoCaCo: Toward Joint Optimization of Computation, Caching, and Communication on Edge Cloud

With the development of recent innovative applications (e.g., augmented reality, natural language processing, and various cognitive applications), more and more computation-intensive and rich-media tasks are delay-sensitive. Edge cloud computing is expected to be an effective solution to meet the demand for low latency. By the use of content offloading and/or computation offloading, users' quality of experience is improved with shorter delay. Compared to existing edge computing solutions, this article introduces a new concept of computing task caching and gives the optimal computing task caching policy. Furthermore, joint optimization of computation, caching, and communication on the edge cloud, dubbed Edge-CoCaCo, is proposed. Then we give the solution to that optimization problem. Finally, the simulation experimental results show that compared to the other schemes, Edge-CoCaCo has shorter delay.

[1]  Min Chen,et al.  Green and Mobility-Aware Caching in 5G Networks , 2017, IEEE Transactions on Wireless Communications.

[2]  Depeng Jin,et al.  Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures , 2016, IEEE Transactions on Vehicular Technology.

[3]  Wenzhong Li,et al.  Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing , 2015, IEEE/ACM Transactions on Networking.

[4]  Xiaofei Wang,et al.  Serendipity of Sharing: Large-Scale Measurement and Analytics for Device-to-Device (D2D) Content Sharing in Mobile Social Networks , 2017, 2017 14th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[5]  Xiaofei Wang,et al.  Collaborative Multi-Tier Caching in Heterogeneous Networks: Modeling, Analysis, and Design , 2017, IEEE Transactions on Wireless Communications.

[6]  Zdenek Becvar,et al.  Mobile Edge Computing: A Survey on Architecture and Computation Offloading , 2017, IEEE Communications Surveys & Tutorials.

[7]  Min Chen,et al.  Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network , 2018, IEEE Journal on Selected Areas in Communications.

[8]  Min Chen,et al.  On the computation offloading at ad hoc cloudlet: architecture and service modes , 2015, IEEE Communications Magazine.

[9]  Xiaofei Wang,et al.  D2D Big Data: Content Deliveries over Wireless Device-to-Device Sharing in Large-Scale Mobile Networks , 2018, IEEE Wireless Communications.

[10]  Liang Tong,et al.  A hierarchical edge cloud architecture for mobile computing , 2016, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications.

[11]  Weisong Shi,et al.  Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.

[12]  Sokol Kosta,et al.  To offload or not to offload? The bandwidth and energy costs of mobile cloud computing , 2013, 2013 Proceedings IEEE INFOCOM.

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