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Asymptotically optimal load balancing in large-scale heterogeneous systems with multiple dispatchers

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Year: 2020
Type: article
Source: Performance Evaluation
DOI: 10.1016/j.peva.2020.102146
Authors: Xingyu Zhou, Ness Shroff, Adam Wierman
Institutions: The Ohio State University, California Institute of Technology
Language: English

Topic: Advanced Queuing Theory Analysis
Subfield: Management Information Systems
Field: Business, Management and Accounting
Domain: Social Sciences

Open Access status: closed

Funder: National Science Foundation
Awards: CNS Core: Small: New Caching Paradigms for Distributed and Dynamic Networks, CSR: NeTS: Small: Theoretical Foundations for Cache Networks: Performance Models, Algorithms, and Applications, ICN-WEN: Collaborative Research: SPLICE: Secure Predictive Low-Latency Information Centric Edge for Next Generation Wireless Networks, AitF: Algorithmic challenges in smart grids: control, optimization & learning, NeTS: Large: Networked Markets: Theory and Applications
OpenAlex ID: W3092012013
FWCI: 3.692
Cites: 36
Cited by: 22
Related to: 10
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