frontmatter 
title: Multi-Objective Network Synthesis for Dispersed Computing in Tactical Environments
venue: SPIE Defense + Commercial Sensing
doi: 10.1117/12.2616187
date: 2022-06-08
authors:
  - "[[Jared Coleman]]"
  - Eugenio Grippo
  - Bhaskar Krishnamachari
  - Gunjan Verma
links:
  - https://anrg.usc.edu/www/papers/iobt.pdf
  - https://github.com/ANRGUSC/NSDC
abstract: |
  Tactical operations like search and rescue or surveillance necessitate the rapid synthesis of physically dispersed assets and mobile compute nodes into a network capable of efficient and reliable information gathering, dissemination, and processing. We formalize this network synthesis problem as selecting one among a set of potentially deployable networks which optimally supports the distributed execution of complex applications. We propose a general framework for studying this type of problem and provide solutions for some well-motivated variants. We discuss how the framework can be extended to support other objectives, parameters, and constraints as well as more scalable solution approaches.
tags:
  - distributed-computing
  - internet-of-things

Multi-Objective Network Synthesis for Dispersed Computing in Tactical Environments

Jared Coleman, Eugenio Grippo, Bhaskar Krishnamachari, Gunjan Verma

SPIE Defense + Commercial Sensing · June 8, 2022 · doi:10.1117/12.2616187 · PDF · GitHub

Abstract

Tactical operations like search and rescue or surveillance necessitate the rapid synthesis of physically dispersed assets and mobile compute nodes into a network capable of efficient and reliable information gathering, dissemination, and processing. We formalize this network synthesis problem as selecting one among a set of potentially deployable networks which optimally supports the distributed execution of complex applications. We propose a general framework for studying this type of problem and provide solutions for some well-motivated variants. We discuss how the framework can be extended to support other objectives, parameters, and constraints as well as more scalable solution approaches.

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