TY - GEN
T1 - IoBT-OS
T2 - 31st International Conference on Computer Communications and Networks, ICCCN 2022
AU - Liu, Dongxin
AU - Abdelzaher, Tarek
AU - Wang, Tianshi
AU - Hu, Yigong
AU - Li, Jinyang
AU - Liu, Shengzhong
AU - Caesar, Matthew
AU - Kalasapura, Deepti
AU - Bhattacharyya, Joydeep
AU - Srour, Nassy
AU - Wigness, Maggie
AU - Kim, Jae
AU - Wang, Guijun
AU - Kimberly, Greg
AU - Osipychev, Denis
AU - Yao, Shouchao
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Recent concepts in defense herald an increasing degree of automation of future military systems, with an emphasis on accelerating sensing-to-decision loops at the tactical edge, reducing their network communication footprint, and improving the inference quality of intelligent components in the loop. These requirements pose resource management challenges, calling for operating-system-like constructs that optimize the use of limited computational resources at the tactical edge. This paper describes these challenges and presents IoBT-OS, an operating system for the Internet of Battlefield Things that aims to optimize decision latency, improve decision accuracy, and reduce corresponding resource demands on computational and network components. A simple case-study with initial evaluation results is shown from a target tracking application scenario.
AB - Recent concepts in defense herald an increasing degree of automation of future military systems, with an emphasis on accelerating sensing-to-decision loops at the tactical edge, reducing their network communication footprint, and improving the inference quality of intelligent components in the loop. These requirements pose resource management challenges, calling for operating-system-like constructs that optimize the use of limited computational resources at the tactical edge. This paper describes these challenges and presents IoBT-OS, an operating system for the Internet of Battlefield Things that aims to optimize decision latency, improve decision accuracy, and reduce corresponding resource demands on computational and network components. A simple case-study with initial evaluation results is shown from a target tracking application scenario.
KW - Edge Intelligence
KW - Internet of Battlefield Things
KW - Sensing-to-Decision Loops
UR - http://www.scopus.com/inward/record.url?scp=85138413603&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85138413603&partnerID=8YFLogxK
U2 - 10.1109/ICCCN54977.2022.9868920
DO - 10.1109/ICCCN54977.2022.9868920
M3 - Conference contribution
AN - SCOPUS:85138413603
T3 - Proceedings - International Conference on Computer Communications and Networks, ICCCN
BT - ICCCN 2022 - 31st International Conference on Computer Communications and Networks
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 July 2022 through 27 July 2022
ER -