Abstract
Virtually all of the rapidly increasing data traffic consumed by mobile users requires some kind of processing, normally performed at cloud servers. A recent thrust, mobile edge computing, moves such processing to servers within the cel- lular mobile network. The large temporal and spatial varia- tions to which mobile data usage is subject could make the reduced latency that edge clouds offer come at an unaccept- able cost in redundant and underutilized infrastructure. We present some first empirical results on this question, based on large scale sampled crowd-sourced traces from several major cities spanning multiple operators and identifying the applications in use. We find opportunities to obtain both high server utilization and low application latency, but the best approaches will depend on the individual network op- erator's deployment strategy and geographic specifics of the cities we study.
| Original language | English |
|---|---|
| Title of host publication | CAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016 |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 37-42 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781450346733 |
| DOIs | |
| State | Published - 12 Dec 2016 |
| Event | 1st ACM CoNEXT Workshop on Cloud-Assisted Networking, CAN 2016 - Irvine, United States Duration: 12 Dec 2016 → … |
Publication series
| Name | CAN 2016 - Proceedings of the 2016 ACM Workshop on Cloud-Assisted Networking, co-located with CoNEXT 2016 |
|---|
Conference
| Conference | 1st ACM CoNEXT Workshop on Cloud-Assisted Networking, CAN 2016 |
|---|---|
| Country/Territory | United States |
| City | Irvine |
| Period | 12/12/16 → … |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- Mobile edge computing
- Real-world traces
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