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2019•Unpublished venueRequires access

Hyper-Scalable JSQ with Sparse Feedback

Mark van der Boor, Sem C. Borst, Johan S. H. van Leeuwaarden

Open publisher page 10 citations

Abstract

Load balancing algorithms play a vital role in enhancing performance in data centers and cloud networks. Due to the massive size of these systems, scalability challenges, and especially the communication overhead associated with load balancing mechanisms, have emerged as major concerns. Motivated by these issues, we introduce and analyze a novel class of load balancing schemes where the various servers provide occasional queue updates to guide the load assignment.

About this research paper

What this paper is about

Load balancing algorithms play a vital role in enhancing performance in data centers and cloud networks. Due to the massive size of these systems, scalability challenges, and especially the communication overhead associated with load balancing mechanisms, have emerged as major concerns. Motivated by these issues, we introduce and analyze a novel class of load balancing schemes where the various servers provide occasional queue updates to guide the load assignment.

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OpenAlex reports 10 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Method / approach

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Available abstract

Load balancing algorithms play a vital role in enhancing performance in data centers and cloud networks. Due to the massive size of these systems, scalability challenges, and especially the communication overhead associated with load balancing mechanisms, have emerged as major concerns. Motivated by these issues, we introduce and analyze a novel class of load balancing schemes where the various servers provide occasional queue updates to guide the load assignment.

Key concepts: Computer science, Load balancing (electrical power), Scalability, Server, Queue, Distributed computing, Network Load Balancing Services, Load management

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