Heavy traffic scaling limits for shortest remaining processing time queues with heavy tailed processing time distributions-Reference-Cited by-同舟云学术

Heavy traffic scaling limits for shortest remaining processing time queues with heavy tailed processing time distributions

Published:2022-08-01 Issue:4 Volume:32 Page:
ISSN:1050-5164
Container-title:The Annals of Applied Probability
language:
Short-container-title:Ann. Appl. Probab.

Author:

Banerjee Sayan¹,Budhiraja Amarjit¹,Puha Amber L.²

Affiliation:

1. Department of Statistics and Operations Research, University of North Carolina at Chapel Hill

2. Department of Mathematics, California State University San Marcos

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference36 articles.

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3. ATAR, R., BISWAS, A., KASPI, H. and RAMANAN, K. (2018). A Skorokhod map on measure-valued paths with applications to priority queues. Ann. Appl. Probab. 28 418–481.

4. BANSAL, N. and HARCHOL-BALTER, M. (2001). Analysis of SRPT scheduling: Investigating unfairness. In ACM SIGMETRICS 2001 Conference on Measurement and Modeling of Computer Systems 279–290.

5. BENDER, M. A., CHAKRABARTI, S. and MUTHUKRISHNAN, S. (1998). Flow and stretch metrics for scheduling continuous job streams. In Proceedings of the Ninth Annual ACM-SIAM Symposium on Discrete Algorithms (San Francisco, CA, 1998) 270–279. ACM, New York.

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