Multi-objective network synthesis for dispersed computing in tactical environments

Jared Coleman; Eugenio Grippo; Bhaskar Krishnamachari; Gunjan Verma

doi:10.1117/12.2616187

8 June 2022 Multi-objective network synthesis for dispersed computing in tactical environments

Jared Coleman, Eugenio Grippo, Bhaskar Krishnamachari, Gunjan Verma

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 121220J (2022) https://doi.org/10.1117/12.2616187
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

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 present the NSDC (network synthesis for dispersed computing) framework; a general framework for studying this type of problem and use it to provide a solution for one well-motivated variant. We discuss how the framework can be extended to support other objectives, parameters, and constraints as well as more scalable solution approaches.

Conference Presentation

Citation Download Citation

Jared Coleman, Eugenio Grippo, Bhaskar Krishnamachari, and Gunjan Verma "Multi-objective network synthesis for dispersed computing in tactical environments", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 121220J (8 June 2022); https://doi.org/10.1117/12.2616187

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