vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management

Data centers face significant performance challenges with parallel processing for network I/O in virtualized environments, particularly for latency-critical (LC) workloads that must satisfy strict Service Level Objectives (SLOs). While previous studies have addressed performance challenges in network I/O virtualization, they overlook the impact of excessive parallelism on the performance of Virtual Machines (VMs). We observe that excessive parallelization for VMs and network I/O processing can lead to core oversubscription, resulting in significant resource contention, frequent preemptions, and task migrations. Based on these observations, we propose vSPACE, dynamic core management specifically designed to support parallel network I/O processing in virtualized environments efficiently. To reduce scheduling contention, vSPACE creates distinct core allocation groups for VM and network I/O and assigns dedicated cores to each. Then, it dynamically adjusts the number of allocated cores to enforce appropriate parallelism for VMs and network I/O processing based on varying demands. vSPACE employs continuous monitoring and a heuristic algorithm to periodically determine appropriate core allocation, addressing excessive contention and improving energy and resource efficiency. vSPACE operates in three modes: performance improvement, energy efficiency, and resource efficiency. Our evaluations demonstrate that vSPACE significantly enhances throughput by up to 4.2 × compared to existing core allocation approaches and improves energy and resource efficiency by up to 16.5% and 30.5%, respectively.

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Published
2024-10-11
DOI
https://doi.org/10.1145/3656019.3689610
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
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article

vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management

Minho Kim, Sungju Kim, Gyeongseo Park, Ki-Dong Kang et al.
Parallel Computing and Optimization Techniques
article

vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management

Minho Kim, Sungju Kim, Gyeongseo Park, Ki-Dong Kang, Daehoon Kim, Hyosang Kim, Yunhyeong Jeon
article en

Abstract

Data centers face significant performance challenges with parallel processing for network I/O in virtualized environments, particularly for latency-critical (LC) workloads that must satisfy strict Service Level Objectives (SLOs). While previous studies have addressed performance challenges in network I/O virtualization, they overlook the impact of excessive parallelism on the performance of Virtual Machines (VMs). We observe that excessive parallelization for VMs and network I/O processing can lead to core oversubscription, resulting in significant resource contention, frequent preemptions, and task migrations. Based on these observations, we propose vSPACE, dynamic core management specifically designed to support parallel network I/O processing in virtualized environments efficiently. To reduce scheduling contention, vSPACE creates distinct core allocation groups for VM and network I/O and assigns dedicated cores to each. Then, it dynamically adjusts the number of allocated cores to enforce appropriate parallelism for VMs and network I/O processing based on varying demands. vSPACE employs continuous monitoring and a heuristic algorithm to periodically determine appropriate core allocation, addressing excessive contention and improving energy and resource efficiency. vSPACE operates in three modes: performance improvement, energy efficiency, and resource efficiency. Our evaluations demonstrate that vSPACE significantly enhances throughput by up to 4.2 × compared to existing core allocation approaches and improves energy and resource efficiency by up to 16.5% and 30.5%, respectively.

Electronics and Telecommunications Research Institute (KR), Daegu Gyeongbuk Institute of Science and Technology (KR), Yonsei University (KR)
Openalex Percentile: Top 82%
Parallel Computing and Optimization Techniques
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vSPACE: Supporting Parallel Network Packet Processing in Virtualized Environments through Dynamic Core Management — Minho Kim, Sungju Kim, et al. · (2024) | TGRS Research Map | TGRS