Weight-Based Page Cache Management Scheme for Enhancing I/O Proportionality of Cgroups

Oh, Kyung-Yul; Park, Jonggyu; Eom, Young Ik

doi:10.1109/icce.2019.8662057

Cited by 6 publications

(2 citation statements)

References 2 publications

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“…We extended the previous version of our research [12], [42] in two ways. First, WaC extended WaL to consider the NUMA topology when deciding the next lock holder.…”

Section: Discussionmentioning

confidence: 99%

Weight-Aware Cache for Application-Level Proportional I/O Sharing

Park

Eom

2022

IEEE Trans. Comput.

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Virtualization technology has enabled server consolidation where multiple servers are co-located on a single physical machine to improve resource utilization. In such systems, proportional I/O sharing is critical to meet the SLO (Service-Level Objectives) of the applications running in each virtual instance. However, previous studies focus on block-level I/O proportionality without considering the upper-layer I/O caches, which handle I/O requests on behalf of the underlying storage devices, thereby failing to achieve application-level proportional I/O sharing. To overcome this limitation, we propose a new cache management scheme, Weight-aware Cache (WaC), which reflects the I/O weights on cache allocation and reclamation. Specifically, WaC prioritizes higher-weighted applications in the lock acquisition process of cache allocation by re-ordering the lock waiting queue based on I/O weight. Additionally, WaC keeps the number of cache entries of each application proportional to its I/O weight, through weight-aware cache reclamation. To verify the efficacy of our scheme, we implement and evaluate WaC on both the page cache and bcache. The experimental results demonstrate that our scheme improves I/O proportionality with negligible overhead in various cases.

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“…We extended the previous version of our research [12], [42] in two ways. First, WaC extended WaL to consider the NUMA topology when deciding the next lock holder.…”

Section: Discussionmentioning

confidence: 99%

Weight-Aware Cache for Application-Level Proportional I/O Sharing

Park

Eom

2022

IEEE Trans. Comput.

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“…Implementation in page cache of a kernel. There are several existing realistic implementations in cache source allocation, such as virtual box [28], cgroups [29], or commands in user space, posix_fadvise() [30,31]. However, existing techniques are complex and nonautomated.…”

Section: Buffer Commandermentioning

confidence: 99%

AOIO: Application Oriented I/O Optimization for Buffer Management

Zhai

2021

Symmetry

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Emerging scale-out I/O intensive applications are broadly used now, which process a large amount of data in buffer/cache for reorganization or analysis and their performances are greatly affected by the speed of the I/O system. Efficient management scheme of the limited kernel buffer plays a key role in improving I/O system performance, such as caching hinted data for reuse in future, prefetching hinted data, and expelling data not to be accessed again from a buffer, which are called proactive mechanisms in buffer management. However, most of the existing buffer management schemes cannot identify data reference regularities (i.e., sequential or looping patterns) that can benefit proactive mechanisms, and they also cannot perform in the application level for managing specified applications. In this paper, we present an A pplication Oriented I/O Optimization (AOIO) technique automatically benefiting the kernel buffer/cache by exploring the I/O regularities of applications based on program counter technique. In our design, the input/output data and the looping pattern are in strict symmetry. According to AOIO, each application can provide more appropriate predictions to operating system which achieve significantly better accuracy than other buffer management schemes. The trace-driven simulation experiment results show that the hit ratios are improved by an average of 25.9% and the execution times are reduced by as much as 20.2% compared to other schemes for the workloads we used.

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Towards enhanced I/O performance of a highly integrated many-core processor by empirical analysis

Lee

Koo

et al. 2021

Cluster Comput

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Weight-Based Page Cache Management Scheme for Enhancing I/O Proportionality of Cgroups

Cited by 6 publications

References 2 publications

Weight-Aware Cache for Application-Level Proportional I/O Sharing

Weight-Aware Cache for Application-Level Proportional I/O Sharing

AOIO: Application Oriented I/O Optimization for Buffer Management

Towards enhanced I/O performance of a highly integrated many-core processor by empirical analysis

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