Adios to Busy-Waiting for Microsecond-scale Memory Disaggregation

How fast and efficiently page faults are handled determines the performance of paging-based memory disaggregation (MD) systems. Recent MD systems employ busy-waiting in page fault handling to avoid costly interrupt handling and context switching. Upon a page fault, they issue a remote fetch request and busy-wait for the completion of the request rather than yield their execution to other tasks. While these attempts succeed to cut the latency of MD systems to microseconds, they suffer from head-of-line (HOL) blocking that leads to high tail latency and causes RDMA network underutilization.

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Publication Details

Published
2025-03-26
DOI
https://doi.org/10.1145/3689031.3717475
Citations
1
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
2.48
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article

Adios to Busy-Waiting for Microsecond-scale Memory Disaggregation

Youngjin Kwon, Jisu Ok, Wonsup Yoon, Sue Moon
1 citations
Neural Networks and Reservoir Computing
2.48
article

Adios to Busy-Waiting for Microsecond-scale Memory Disaggregation

Youngjin Kwon, Jisu Ok, Wonsup Yoon, Sue Moon
article en
1 citations

Abstract

How fast and efficiently page faults are handled determines the performance of paging-based memory disaggregation (MD) systems. Recent MD systems employ busy-waiting in page fault handling to avoid costly interrupt handling and context switching. Upon a page fault, they issue a remote fetch request and busy-wait for the completion of the request rather than yield their execution to other tasks. While these attempts succeed to cut the latency of MD systems to microseconds, they suffer from head-of-line (HOL) blocking that leads to high tail latency and causes RDMA network underutilization.

Korea Advanced Institute of Science and Technology (KR)
Reduced inequalities
Openalex Percentile: Top 11%
Neural Networks and Reservoir Computing
2.48
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