Software-defined cloud computing: A systematic review on latest trends and developments
AA Abbasi, A Abbasi, S Shamshirband… - Ieee …, 2019 - ieeexplore.ieee.org
Cloud computing concepts offer effective and efficient tools for addressing resource-hungry
computational problems. While conventional methods, architectures, and processing …
computational problems. While conventional methods, architectures, and processing …
An improved hybrid swarm intelligence for scheduling iot application tasks in the cloud
The usage of cloud services is growing exponentially with the recent advancement of
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …
Internet of Things (IoT)-based applications. Advanced scheduling approaches are needed to …
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 …
Alcoholism identification based on an AlexNet transfer learning model
SH Wang, S Xie, X Chen, DS Guttery, C Tang… - Frontiers in …, 2019 - frontiersin.org
Aim: This paper proposes a novel alcoholism identification approach that can assist
radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning …
radiologists in patient diagnosis. Method: AlexNet was used as the basic transfer learning …
An energy, performance efficient resource consolidation scheme for heterogeneous cloud datacenters
Datacenters are the principal electricity consumers for cloud computing that provide an IT
backbone for today's business and economy. Numerous studies suggest that most of the …
backbone for today's business and economy. Numerous studies suggest that most of the …
Pricing cloud IaaS computing services
N Dimitri - Journal of Cloud Computing, 2020 - Springer
The economics of cloud computing has recently attracted increasing attention. In particular,
a topic which is still under debate is how prices charged to customers for cloud resources …
a topic which is still under debate is how prices charged to customers for cloud resources …
[HTML][HTML] Adaptive sliding windows for improved estimation of data center resource utilization
Accurate prediction of data center resource utilization is required for capacity planning, job
scheduling, energy saving, workload placement, and load balancing to utilize the resources …
scheduling, energy saving, workload placement, and load balancing to utilize the resources …
DDQN-TS: A novel bi-objective intelligent scheduling algorithm in the cloud environment
Z Tong, F Ye, B Liu, J Cai, J Mei - Neurocomputing, 2021 - Elsevier
Task scheduling has always been one of the crucial problem in cloud computing. With the
transition of task types from static batch processing to dynamic stream processing, the …
transition of task types from static batch processing to dynamic stream processing, the …
Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach
Purpose This paper aims to examine the dynamism of causal relationships among cloud
computing (CC) adoption factors in the Indian context, considering the perspectives of both …
computing (CC) adoption factors in the Indian context, considering the perspectives of both …
EAMA: Efficient adaptive migration algorithm for cloud data centers (CDCs)
The rapid demand for Cloud services resulted in the establishment of large-scale Cloud
Data Centers (CDCs), which ultimately consume a large amount of energy. An enormous …
Data Centers (CDCs), which ultimately consume a large amount of energy. An enormous …