Learning To Maximize Welfare with a Reusable Resource

Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems Pub Date : 2022-06-06 DOI:10.1145/3489048.3530960

Matthew Faw, O. Papadigenopoulos, C. Caramanis, S. Shakkottai

引用次数: 1

Abstract

ACM Reference Format: Matthew Faw, Orestis Papadigenopoulos, Constantine Caramanis, and Sanjay Shakkottai. 2022. Learning To Maximize Welfare with a Reusable Resource. In Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS/PERFORMANCE ’22 Abstracts), June 6–10, 2022, Mumbai, India. ACM, New York, NY, USA, 2 pages. https://doi.org/10. 1145/3489048.3530960

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学会利用可重复使用的资源最大化福利

ACM参考格式:Matthew Faw, oretis Papadigenopoulos, Constantine Caramanis和Sanjay shakkotai。2022。学会利用可重复使用的资源最大化福利。2022年ACM SIGMETRICS/IFIP PERFORMANCE计算机系统测量和建模联合国际会议(SIGMETRICS/PERFORMANCE’22摘要)，6月6日至10日，印度孟买。ACM，纽约，美国，2页。https://doi.org/10。1145/3489048.3530960

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Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems

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