Abstract
A mobile edge computing system with two classes of mobile users is investigated. High priority (subscription) users are allowed more resources at the server than low priority (best-effort) users. Media applications with data encoding are considered so that the encoded data is much smaller than the raw data. Offloading decision is based on task sojourn time which includes communication, computation and queueing delays. Numerical results are presented for optimal service discrimination level between the two classes as well as the effect of queueing delay.
Original language | English |
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Title of host publication | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781538615010 |
DOIs | |
Publication status | Published - 5 Jul 2018 |
Event | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 - Izmir, Turkey Duration: 2 May 2018 → 5 May 2018 |
Publication series
Name | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
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Conference
Conference | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 |
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Country/Territory | Turkey |
City | Izmir |
Period | 2/05/18 → 5/05/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- 5G
- Energy efficiency
- Mobile edge computing
- Queueing delay
- Sojourn time