Network Sciences: Coded Computing: A Transformative Framework for Tactical Wireless Edge Computing
Abstract
Major Goals: Our goal in this project is to develop a foundation for the design of coded computing in order to tackle the key bottlenecks that arise in tactical wireless edge computing, namely resource (in particular bandwidth) constraints and high dynamics due to mobility and disruptions in service. In particular, our proposed research plan consists of the following main thrusts. Thrust 1: Minimum Bandwidth Coded Computing (MBCC). In this thrust we focus on the bandwidth bottleneck of large-scale tactical edge computing, and develop coded computing strategies that effectively inject computation redundancy to minimize the communication load. Thrust 2: Maximum Robustness Coded Computing (MRCC). In this thrust we consider the resiliency of tactical edge computing to network dynamics, and generalize our framework to ac- count for failing, straggling, and overloaded nodes in the network. Thrust 3: Practical Demonstrations. In parallel to the first two research thrusts, we will also design experiments that can primarily be used to test out the theory and develop optimal and near optimal resource allocation algorithms for efficient distributed edge computing.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 11, 2022
- Accession Number
- AD1197779
Entities
People
- Amir S. Avestimehr
Organizations
- University of Southern California