Energy-efficient dynamic offloading and resource scheduling in mobile cloud computing
By Songtao Guo, Bin Xiao, Yuanyuan Yang, Yang Yang. IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference on Computer Communications, 2016
330 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/15f7ed28f685819043995dc46139645f20df1264
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Khaled Ben Letaief
- Kaibin Huang
- Changsheng You
- Jun Zhang
- Yuyi Mao
- Zhaolong Ning
- Peng Li
- Xiaofei Liao
In Electrical and Electronic Engineering
- Khaled Ben Letaief
- Changsheng You
- Jun Zhang
- Kaibin Huang
- Yuyi Mao
- Zhaolong Ning
- Rui Zhang
- H. Vincent Poor
Citations in the corpus
- A Survey on Mobile Edge Computing: The Communication Perspective (2017, methodology): “4(c) was considered for multiple users in [116].”
- Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks (2018, background): “Since the cloud sever has higher computation capacity and storage than the SMD, mobile cloud computing (MCC) is envisioned as a potential approach to react the challenge via migrating computations from the SMD to the cloud sever [8], which is referred to as computation offloading.”
- Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution (2021, background): “According to the recent analysis [7], the transportation sector accounts for 32% of the overall CO2 emission.”
- Computation Offloading Toward Edge Computing (2019, methodology): “For example, [108] proposed an energy-efficient resource scheduling policy by adjusting the CPU clock, namely, the dynamic voltage and frequency scaling (DVFS).”