NUMA-aware I/O System Call Steering

NUMA-aware I/O System Call Steering

To fully utilize the ever-increasing network and storage I/O bandwidth, there have been significant studies on interrupt steering that scatters I/O events raised by peripherals across multiple cores. However, less attention has been paid to system call steering that distributes actual processing of...

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Bibliographic Details
Published in:2021 IEEE International Conference on Cluster Computing (CLUSTER) pp. 805 - 806
Main Authors: Lee, Chan-Gyu, Jin, Hyun-Wook
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2021
Subjects:
Bandwidth
Cluster computing
Conferences
I/O
MapReduce
Measurement
multi-core
NUMA
Parallel processing
system call
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Summary:To fully utilize the ever-increasing network and storage I/O bandwidth, there have been significant studies on interrupt steering that scatters I/O events raised by peripherals across multiple cores. However, less attention has been paid to system call steering that distributes actual processing of I/O system calls to multiple cores apart from application contexts. In this study, we suggest three different policies for I/O system call steering named Single-NUMA-Node, Per-NUMA-Node, and Cross-NUMA-Node that address the issues of parallelism between I/O operations, locality of data, and distance to I/O devices to improve utilization of network and storage I/O bandwidth on NUMA-based multi-core systems. The performance measurement results of our preliminary implementations show that the Cross-NUMA-Node policy can reduce the execution time of MapReduce applications up to 34% on a Hadoop cluster.
ISSN:2168-9253
DOI:10.1109/Cluster48925.2021.00077