Search Results - subject:"Workload prediction"

A workload prediction model for reducing service level agreement violations in cloud data centers

Nehra, P.; Kesswani, Nishtha - In: Decision analytics journal 11 (2024), pp. 1-7

satisfaction and benefit cloud service providers. Workload prediction is a strategy that provides many benefits: reduced SLA … with other variants of LSTM used in literature for workload prediction purposes. The proposed work outperforms existing …

Persistent link: https://www.econbiz.de/10015101921

Operations (management) warp speed : rapid deployment of hospital-focused predictive/prescriptive analytics for the COVID-19 pandemic

Shi, Pengyi; Helm, Jonathan E.; Chen, Christopher; Lim, Jeff - In: Production and operations management : the flagship … 32 (2023) 5, pp. 1433-1452

Persistent link: https://www.econbiz.de/10014266304

A cluster workload forecasting strategy using a higher order statistics based ARMA model for IaaS cloud services

Amekraz, Zohra; Hadi, Moulay Youssef - In: International journal of networking and virtual … 26 (2022) 1/2, pp. 3-22

Persistent link: https://www.econbiz.de/10013256815

Domain Knowledge Embedding Regularization Neural Networks for Workload Prediction and Analysis in Cloud Computing

Li, Lei; Feng, Min; Jin, Lianwen; Chen, Shenjin; Ma, Lihong - In: Journal of Information Technology Research (JITR) 11 (2018) 4, pp. 137-154

neural networks (DKRNN) for large-scale workload prediction. Based on analyzing the statistical properties of a real large … accuracy of workload prediction, provide more adaptive resource for higher resource cost effectiveness and have less impact on …

Persistent link: https://www.econbiz.de/10012049183

On estimating workload in interval branch-and-bound global optimization algorithms

Berenguel, José; Casado, L.; García, I.; Hendrix, Eligius - In: Journal of Global Optimization 56 (2013) 3, pp. 821-844

In general, solving Global Optimization (GO) problems by Branch-and-Bound (B&B) requires a huge computational capacity. Parallel execution is used to speed up the computing time. As in this type of algorithms, the foreseen computational workload (number of nodes in the B&B tree) changes...

Persistent link: https://www.econbiz.de/10010994040