Paper Info
Title
Coding for Distributed Fog Computing.
Abstract
Redundancy is abundant in fog networks (i.e., many computing and storage points) and grows linearly with network size. We demonstrate the transformational role of coding in fog computing for leveraging such redundancy to substantially reduce the bandwidth consumption and latency of computing. In particular, we discuss two recently proposed coding concepts, minimum bandwidth codes and minimum latency codes, and illustrate their impacts on fog computing. We also review a unified coding framework that includes the above two coding techniques as special cases, and enables a trade-off between computation latency and communication load to optimize system performance. At the end, we will discuss several open problems and future research directions.
Year
DOI
Venue
2017
10.1109/MCOM.2017.1600894
IEEE Communications Society
Keywords
DocType
Volume
Bandwidth,Encoding,Edge computing,Redundancy,Time factors,Encoding,Computer architecture
Journal
abs/1702.06082
Issue
ISSN
Citations 
4
0163-6804
32
PageRank 
References 
Authors
1.16
6
3
Name
Order
Citations
PageRank
Songze Li113416.22
Mohammad-Ali Maddah-Ali21455119.30
Amir Salman Avestimehr31880157.39