Rank-Based Stochastic Differential Inclusions and Diffusion Limits for a Load-Balancing Model
成果类型:
Article; Early Access
署名作者:
Atar, Rami; Ichiba, Tomoyuki
署名单位:
Technion Israel Institute of Technology; University of California System; University of California Santa Barbara
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X; 1526-5471
DOI:
10.1287/moor.2024.0702
发表日期:
2025-11-27
关键词:
load balancing
rank-based stochastic differential equations
rank-based stochastic differential inclusions
path-wise uniqueness
摘要:
Banerjee, Budhiraja and Estevez (2025) studied a randomized load balancing model in a heavy traffic asymptotic regime where the load balancing stream is thin compared to the total arrival stream. It was shown that the limit is given by a system of rankbased Brownian particles on the half-line. In this paper we extend this result from the case of exponential service time to an invariance principle, where service times have finite second moment. The main tool is a new notion of rank-based stochastic differential inclusion, which may be of interest in its own right.
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