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 |
---|
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