.png){kind=icon}
.png){kind=icon}
Return
Software Defined Networking, Caching, and Computing for Green Wireless Networks
.png){kind=icon}
PRE
AI
DOI：10.1109/MCOM.2016.1600485CM.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Recent advances in networking, caching, and computing will have a profound impact on the development of next generation green wireless networks. Nevertheless, these three important areas have traditionally been addressed separately in existing works. In this article, we propose a novel framework that jointly considers networking, caching, and computing techniques in a systematic way to naturally support energy-efficient information retrieval and computing services in green wireless networks. This integrated framework can enable dynamic orchestration of different resources to meet the requirements of next generation green wireless networks. Simulation results are presented to show the effectiveness of the proposed framework. In addition, we discuss a number of challenges in implementing the proposed framework in next generation green wireless networks.
Keywords:
INTERNET
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
8.2
Papers:
6.9K
Citations:
2.2W
View more organizations