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Relevant bibliographies by topics / MaxWeight policy

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Academic literature on the topic 'MaxWeight policy'

Author: Grafiati

Published: 6 September 2023

Last updated: 31 July 2025

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Journal articles on the topic "MaxWeight policy"

1

Jhunjhunwala, Prakirt Raj, and Siva Theja Maguluri. "Heavy Traffic Queue Length Distribution without Resource Pooling in an Input-Queued Switch." ACM SIGMETRICS Performance Evaluation Review 50, no. 4 (2023): 26–28. http://dx.doi.org/10.1145/3595244.3595254.

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This paper studies the heavy-traffic joint distribution of queue lengths of an input-queued switch operating under the MaxWeight scheduling policy. Input-queued switch acts as a representative of SPNs that do not satisfy the so-called complete resource pooling (CRP) condition, and consequently exhibit a multidimensional state space collapse. Except in special cases, only mean queue lengths of such non-CRP systems have been obtained in the literature. In this paper, we develop the transform method to study the steady state distribution of non-CRP systems. The key challenge is in solving an impl

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2

Raj Jhunjhunwala, Prakirt, and Siva Theja Maguluri. "Heavy Traffic Joint Queue Length Distribution withoutResource Pooling." ACM SIGMETRICS Performance Evaluation Review 51, no. 4 (2024): 16–17. http://dx.doi.org/10.1145/3649477.3649487.

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This paper studies the Heavy Traffic (HT) joint distribution of queue lengths in an Input-queued switch (IQ switch) operating under the MaxWeight scheduling policy. IQ switchserve as representative of SPNs that do not satisfy the socalled Complete Resource Pooling (CRP) condition, and consequently exhibit a multidimensional State Space Collapse (SSC). Except in special cases, only mean queue lengths of such non-CRP systems is known in the literature. In this paper, we develop the Transform method to study the joint distribution of queue lengths in non-CRP systems. The key challenge is in solvi

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3

Bramson, Maury, Bernardo D’Auria, and Neil Walton. "Stability and Instability of the MaxWeight Policy." Mathematics of Operations Research, April 5, 2021. http://dx.doi.org/10.1287/moor.2020.1106.

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Consider a switched queueing network with general routing among its queues. The MaxWeight policy assigns available service by maximizing the objective function [Formula: see text] among the different feasible service options, where [Formula: see text] denotes queue size and [Formula: see text] denotes the amount of service to be executed at queue [Formula: see text]. MaxWeight is a greedy policy that does not depend on knowledge of arrival rates and is straightforward to implement. These properties and its simple formulation suggest MaxWeight as a serious candidate for implementation in the se

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4

Hurtado-Lange, Daniela, Sushil Mahavir Varma, and Siva Theja Maguluri. "Logarithmic heavy traffic error bounds in generalized switch and load balancing systems." Journal of Applied Probability, June 21, 2022, 1–18. http://dx.doi.org/10.1017/jpr.2021.82.

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Abstract Motivated by applications to wireless networks, cloud computing, data centers, etc., stochastic processing networks have been studied in the literature under various asymptotic regimes. In the heavy traffic regime, the steady-state mean queue length is proved to be $\Theta({1}/{\epsilon})$ , where $\epsilon$ is the heavy traffic parameter (which goes to zero in the limit). The focus of this paper is on obtaining queue length bounds on pre-limit systems, thus establishing the rate of convergence to heavy traffic. For the generalized switch, operating under the MaxWeight algorithm, we s

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Dissertations / Theses on the topic "MaxWeight policy"

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Mohan, Avinash. "On Reduced-State Optimal Scheduling for Decentralized Medium Access Control of Wireless Data Collection Networks." Thesis, 2018. https://etd.iisc.ac.in/handle/2005/5452.

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In the Internet of Things (IoT), devices such as sensors and actuators will almost invariably be connected to the Internet via wireless networks. The sensor and actuator devices in such systems will be resource challenged with constraints on the energy available to them, and on their computing, storage, and communication capabilities. Hence, the control strategies in such systems should be light-weight, and decentralised, requiring very little information exchange. With these observations in mind, the central theme of the work reported in this thesis is the development of wireless schedul

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