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- W3048145959 abstract "Replicated metadata server cluster (RMSC) is highly efficient to be used in distributed filesystems while facing data-driven scenarios (e.g., massive-scale distributed machine learning tasks). Yet, when considering cost-effectiveness and system utilization, the cluster scale is commonly restricted in practice. Within this context, servers in the cluster start to suffer from load-oscillations at higher system utilization due to clients’ congestion-unaware behaviors and unintelligent selection strategies (i.e., servers in the cluster are preferred then evaded intermittently). The consequences brought by load-oscillations degrade the overall performance of the whole system to some extent. One solution to tackle this problem is having clients share a part of the responsibility and behave more wisely for stability concerns. So in this paper, we present a Congestion-Aware Request Dispatching scheme, CARD, which is mainly conducted at clients and directed by a rate control mechanism. Through extensive experiments, we verify that CARD is highly efficient in resolving load-oscillations in RMSC. Apart from this, our results show that RMSC with our congestion-aware based optimization achieves better scalability compared to previous implementations under targeted workloads, especially in heterogeneous environments." @default.
- W3048145959 created "2020-08-13" @default.
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- W3048145959 date "2020-08-17" @default.
- W3048145959 modified "2023-09-23" @default.
- W3048145959 title "CARD: A Congestion-Aware Request Dispatching Scheme for Replicated Metadata Server Cluster" @default.
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- W3048145959 doi "https://doi.org/10.1145/3404397.3404411" @default.
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