Time Series Predictions for Cloud Workloads: A Comprehensive Evaluation
Predicting workloads in cloud computing is a significant challenge due to their complex,
multidimensional, and highly variable nature. Assessing the accuracy of these predictions is …
multidimensional, and highly variable nature. Assessing the accuracy of these predictions is …
Less: Large-scale Workload Forecasting Model Based on Multiple Sequence Compression
As application migration to the cloud becomes the mainstream way of application
deployment, application runtime management presents a significant need for large-scale …
deployment, application runtime management presents a significant need for large-scale …
Leveraging LSTM and GAN for Modern Malware Detection
I Gupta, S Kumari, P Jha, M Ghosh - arxiv preprint arxiv:2405.04373, 2024 - arxiv.org
The malware booming is a cyberspace equal to the effect of climate change to ecosystems
in terms of danger. In the case of significant investments in cybersecurity technologies and …
in terms of danger. In the case of significant investments in cybersecurity technologies and …
Dynamic prediction of resource consumption in virtualized environments
A Bellili - 2024 - espace.etsmtl.ca
Today's cloud environments host various services and applications. In such an environment,
the consumption of resources is growing exponentially which makes their management a …
the consumption of resources is growing exponentially which makes their management a …