A comprehensive survey of multi-view video summarization
There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …
acquired from single or multi-view surveillance camera networks. This massive amount of …
Integrated deep learning method for workload and resource prediction in cloud systems
Cloud computing providers face several challenges in precisely forecasting large-scale
workload and resource time series. Such prediction can help them to achieve intelligent …
workload and resource time series. Such prediction can help them to achieve intelligent …
A survey and classification of the workload forecasting methods in cloud computing
M Masdari, A Khoshnevis - Cluster Computing, 2020 - Springer
Workload prediction is one of the important parts of proactive resource management and
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …
auto-scaling in cloud computing. Accurate prediction of workload in cloud computing is of …
Query-based workload forecasting for self-driving database management systems
The first step towards an autonomous database management system (DBMS) is the ability to
model the target application's workload. This is necessary to allow the system to anticipate …
model the target application's workload. This is necessary to allow the system to anticipate …
[HTML][HTML] Prediction of critical filling of a storage area network by machine learning methods
IS Masich, VS Tynchenko, VA Nelyub, VV Bukhtoyarov… - Electronics, 2022 - mdpi.com
The introduction of digital technologies into the activities of companies is based on software
and hardware systems, which must function reliably and without interruption. The forecasting …
and hardware systems, which must function reliably and without interruption. The forecasting …
A quantum approach towards the adaptive prediction of cloud workloads
This work presents a novel Evolutionary Quantum Neural Network (EQNN) based workload
prediction model for Cloud datacenter. It exploits the computational efficiency of quantum …
prediction model for Cloud datacenter. It exploits the computational efficiency of quantum …
Host load prediction in cloud computing with discrete wavelet transformation (dwt) and bidirectional gated recurrent unit (bigru) network
J Dogani, F Khunjush, M Seydali - Computer Communications, 2023 - Elsevier
Providing pay-as-you-go storage and computing services have contributed to the
widespread adoption of cloud computing. Using virtualization technology, cloud service …
widespread adoption of cloud computing. Using virtualization technology, cloud service …
Energy-efficient VM scheduling based on deep reinforcement learning
B Wang, F Liu, W Lin - Future Generation Computer Systems, 2021 - Elsevier
Achieving data center resource optimization and QoS guarantee driven by high energy
efficiency has become a research hotspot. However, QoS information directly sampled from …
efficiency has become a research hotspot. However, QoS information directly sampled from …
Ensemble learning based predictive framework for virtual machine resource request prediction
The cloud service providers require a large number of computing resources to provide
services on-demand that consume the electricity at large and leave high carbon footprints …
services on-demand that consume the electricity at large and leave high carbon footprints …
Intelligent time-series forecasting framework for non-linear dynamic workload and resource prediction in cloud
Abstract The industrial revolution 4.0 (I4. 0), internet of things developments, and the
expansion of online web services have caused exponential growth and deployment in the …
expansion of online web services have caused exponential growth and deployment in the …