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

149Citations
Citations of this article
98Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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.

Cite

CITATION STYLE

APA

Chen, M., Hao, Y., Hu, L., Hossain, M. S., & Ghoneim, A. (2018). Edge-CoCaCo: Toward Joint Optimization of Computation, Caching, and Communication on Edge Cloud. IEEE Wireless Communications, 25(3), 21–27. https://doi.org/10.1109/MWC.2018.1700308

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free