COIN: A Container Workload Prediction Model Focusing on Common and Individual Changes in Workloads
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DOI: 10.1109/tpds.2022.3202833
Abstract: Recently, containers have become the primary deployment form for cloud applications. Predicting container workload accurately is critical to ensure the quality of service (QoS) and cost-efficiency of the applications and meet service level agreements (SLAs)… read more here.
Keywords: workload; container workload; model; workload prediction ... See more keywords