Abstract
Computation offloading plays a critical role in
reducing task completion time for mobile devices. The advantages
of computation offloading to cloud resources in Mobile Cloud
Computing have been widely considered. In this paper, we have
investigated different scenarios for offloading to less distant
Multi-Access Edge Computing (MEC) servers for multiple users
with a range of mobile devices and computational tasks. We
present detailed simulation data for how offloading can be
beneficial in a MEC network with varying quantitative mobile
user demand, heterogeneity in mobile device on-board and MEC
processor speeds, computational task complexity, communication
speeds, link access delays and mobile device user numbers.
Unlike previous work where simulations considered only limited
communication speeds for offloading, we have extended the range
of link speeds and included two types of communication delay.
We find that more computationally complex applications are
offloaded preferentially (especially with the higher server:mobile
device processor speed ratios) while low link speeds and any
delays caused by network delays or excessive user numbers
degrade any advantages in reduced task completion times offered
by offloading. Additionally, significant savings in energy usage by
mobile devices are guaranteed except at very low link speeds.
reducing task completion time for mobile devices. The advantages
of computation offloading to cloud resources in Mobile Cloud
Computing have been widely considered. In this paper, we have
investigated different scenarios for offloading to less distant
Multi-Access Edge Computing (MEC) servers for multiple users
with a range of mobile devices and computational tasks. We
present detailed simulation data for how offloading can be
beneficial in a MEC network with varying quantitative mobile
user demand, heterogeneity in mobile device on-board and MEC
processor speeds, computational task complexity, communication
speeds, link access delays and mobile device user numbers.
Unlike previous work where simulations considered only limited
communication speeds for offloading, we have extended the range
of link speeds and included two types of communication delay.
We find that more computationally complex applications are
offloaded preferentially (especially with the higher server:mobile
device processor speed ratios) while low link speeds and any
delays caused by network delays or excessive user numbers
degrade any advantages in reduced task completion times offered
by offloading. Additionally, significant savings in energy usage by
mobile devices are guaranteed except at very low link speeds.
| Original language | English |
|---|---|
| Number of pages | 6 |
| Publication status | Published - 13 Jun 2019 |
| Event | 4th IEEE International Conference on Fog and Mobile Edge Computing - Rome, Italy Duration: 10 Jun 2019 → 13 Jun 2019 Conference number: 4 http://emergingtechnet.org/FMEC2019/ |
Conference
| Conference | 4th IEEE International Conference on Fog and Mobile Edge Computing |
|---|---|
| Abbreviated title | FMEC 2019 |
| Country | Italy |
| City | Rome |
| Period | 10/06/19 → 13/06/19 |
| Internet address |
Keywords
- Computation offloading
- Multi-Access Edge Computing
- task completion time
- mobile devices
- energy savings
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Cite this
Singh, R., Armour, S., Khan , A., Sooriyabandara, M., & Oikonomou, G. (2019). The Advantage of Computation Offloading in Multi-Access Edge Computing. Paper presented at 4th IEEE International Conference on Fog and Mobile Edge Computing , Rome, Italy.