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Mar 16, 2024 · Auto-scaling, also known as elasticity, provides the capacity to efficiently allocate computing resources on demand, rendering it beneficial ...
Mar 16, 2024 · Auto-scaling, also known as elasticity, provides the capacity to efficiently allocate computing resources on demand, rendering it beneficial ...
Mar 25, 2024 · Bibliographic details on Predictive Auto-scaling: LSTM-Based Multi-step Cloud Workload Prediction.
This paper presents a survey of auto-scaling techniques and its approaches, state-of-the-art implementations, and research challenges.
May 21, 2024 · Our research introduces TempoScale, which aims to enhance the comprehensive understanding of temporal variations in cloud workloads.
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Mar 30, 2022 · This study proposes an efficient multivariate autoscaling framework using bidirectional long short-term memory (Bi-LSTM) for cloud computing.
May 13, 2024 · We introduce PASS, a Predictive Auto-Scaling System tailored for large-scale online web applications in enterprise settings.
Apr 30, 2018 · This implies that, the reactive approach may not be enough, it is indispensable to employ workload prediction in an autoscaling mechanism of.
Song et al. [26] applied a model based on LSTM to predict the mean load over consecutive future time intervals and actual load multi-step- ...
Dec 15, 2023 · The demand for dependable workload prediction models has surged in the ever-evolving domain of cloud computing, especially across renowned ...