Abstract
We propose a scalable coded distributed computing framework for wireless distributed computing over a cluster of mobile users, in which the data shuffling across users are performed through an access point at the edge of the network. The proposed framework achieves a constant shuffling load that is independent of the number of participating users. The key idea is to utilize a particular repetitive structure of computation assignments at the users, in order to provide coding opportunities that reduce the shuffling load by a factor that grows linearly with the number of users.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 79-80 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781509033218 |
| DOIs | |
| State | Published - Dec 5 2016 |
| Externally published | Yes |
| Event | 1st IEEE/ACM Symposium on Edge Computing, SEC 2016 - Washington, United States Duration: Oct 27 2016 → Oct 28 2016 |
Publication series
| Name | Proceedings - 1st IEEE/ACM Symposium on Edge Computing, SEC 2016 |
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Conference
| Conference | 1st IEEE/ACM Symposium on Edge Computing, SEC 2016 |
|---|---|
| Country/Territory | United States |
| City | Washington |
| Period | 10/27/16 → 10/28/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.
Keywords
- Coded Multicasting
- Edge-Facilitated Data Shuffling
- MapReduce
- Repetitive Computation Assignments
- Scalable Distributed Computing
- Wireless Distributed Computing