A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing
Accurate and timely predicting citywide traffic crowd flows precisely is crucial for public
safety and traffic management in smart cities. Nevertheless, its crucial challenge lies in how …
safety and traffic management in smart cities. Nevertheless, its crucial challenge lies in how …
Sustainable computing across datacenters: A review of enabling models and techniques
The growth rate in big data and internet of things (IoT) is far exceeding the computer
performance rate at which modern processors can compute on the massive amount of data …
performance rate at which modern processors can compute on the massive amount of data …
Energy, performance and cost efficient cloud datacentres: A survey
Abstract In major Information Technology (IT) companies such as Google, Rackspace and
Amazon Web Services (AWS), virtualization and containerization technologies are usually …
Amazon Web Services (AWS), virtualization and containerization technologies are usually …
An AI-enabled lightweight data fusion and load optimization approach for Internet of Things
In the densely populated Internet of Things (IoT) applications, sensing range of the nodes
might overlap frequently. In these applications, the nodes gather highly correlated and …
might overlap frequently. In these applications, the nodes gather highly correlated and …
Energy and quality of service-aware virtual machine consolidation in a cloud data center
The large-scale virtualized Cloud data centers consume huge amount of electrical energy
leading to high operational costs and emission of greenhouse gases. Virtual machine (VM) …
leading to high operational costs and emission of greenhouse gases. Virtual machine (VM) …
Modeling dynamic spatio-temporal correlations for urban traffic flows prediction
Prediction of traffic crowd movement is one of the most important component in many
applications' domains ranging from urban management to transportation schedule. The key …
applications' domains ranging from urban management to transportation schedule. The key …
An advanced LSTM model for optimal scheduling in smart logistic environment: E-commerce case
At present, most logistics systems, especially those dedicated to e-commerce, are based on
artificial intelligence techniques to offer better services and increase outcomes. However …
artificial intelligence techniques to offer better services and increase outcomes. However …
Deep learning-based multivariate resource utilization prediction for hotspots and coldspots mitigation in green cloud data centers
Dynamic virtual machine (VM) consolidation is a constructive technique to enhance
resource usage and is extensively employed to minimize data centers' energy consumption …
resource usage and is extensively employed to minimize data centers' energy consumption …
Energy-aware dynamic resource management in elastic cloud datacenters
In clouds, placement of on-demand applications on heterogeneous machines, has turned
out to be a crucial research problem, particularly, in terms of performance and energy …
out to be a crucial research problem, particularly, in terms of performance and energy …
HeporCloud: An energy and performance efficient resource orchestrator for hybrid heterogeneous cloud computing environments
Abstract In major Information Technology (IT) companies such as Google, Rackspace and
Amazon Web Services (AWS), virtualisation and containerisation technologies are usually …
Amazon Web Services (AWS), virtualisation and containerisation technologies are usually …