… cloud is the Intrusion Detection System (IDS). This research introduces a cloud-based deep
learning-LSTM … Deep learning algorithms like basic machine learning can be built to conduct …

… Also, we present how machine learning … cloud environment. We present a framework for
improving energy efficiency in the cloud through optimized resource allocation using the LSTM …

… The experimental results also showed that the LSTM-CLOUD could effectively learn the …
plan to install and test the LSTM-CLOUD system in a real cloud environment to be able to …

… RNN is designed to learn the internal correlations between data and … LSTM network [12],
and GRU encoder-decoder network [13]. Thus, we are motivated to employ machine learning to …

… a deep learning predictive framework to predict the failure rate of tasks [25]. To handle
software and hardware failures in a cloud environment, this study proposed a bidirectional LSTM …

… Deep learning based straggler prediction methods face large prediction errors due to two …
-LSTM network to analyze the state of a cloud environment. Here, the state of the cloud setup is …

… 2 we review the related works in the literature, especially in cloud environments. Section 3
introduces and explains background of the work and basic principles behind our architecture. …

… cloud authentication framework using Google’s distributed tensorflow. Our cloud environment
… use of the machine’s GPUs and CPUs across the network that is created for our cloud. …

… consumer gets benefitted from the services provided by a cloud provider on … of cloud
consumer reviews dataset extracted from web portals. Deep Learning approaches of RNN, LSTM …

… In an IoT/cloud environment, malicious traffic also refers to … machine-learning and our
proposed deeplearning techniques … at ’Amazon Cloud’ for training our machine learning-based …