Distributed cooperative computation offloading in multi-access edge computing fiber–wireless networks
Novel 5G applications will require the processing of large amounts of computation-intensive, delay-sensitive tasks. Mobile devices, however, are subject to limited hardware resources (e.g., battery life, CPU, and storage) and therefore may fall short of satisfying the stringent latency requirements...
Saved in:
Published in | Optics communications Vol. 452; pp. 130 - 139 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
01.12.2019
|
Subjects | |
Online Access | Get full text |
ISSN | 0030-4018 1873-0310 |
DOI | 10.1016/j.optcom.2019.06.060 |
Cover
Loading…
Summary: | Novel 5G applications will require the processing of large amounts of computation-intensive, delay-sensitive tasks. Mobile devices, however, are subject to limited hardware resources (e.g., battery life, CPU, and storage) and therefore may fall short of satisfying the stringent latency requirements of complex tasks. To fill the gap between the increasing demands of computation-intensive, delay-sensitive tasks driven by emerging 5G applications and the availability of limited resources on smart mobile devices, we introduce our proposed architecture of multi-access computing (MEC) enabled Fiber–Wireless (FiWi) LTE enhanced HetNets, enabling the coexistence and cooperation between conventional (remote) cloud and MEC servers. After presenting our analytical framework to evaluate the energy-delay performance, we propose our distributed cooperative offloading strategy with the objective of minimizing the average response time for mobile users. |
---|---|
ISSN: | 0030-4018 1873-0310 |
DOI: | 10.1016/j.optcom.2019.06.060 |