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 …

An improved hybrid swarm intelligence for scheduling iot application tasks in the cloud

I Attiya, M Abd Elaziz, L Abualigah… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
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 …

Energy, performance and cost efficient cloud datacentres: A survey

AA Khan, M Zakarya - Computer Science Review, 2021 - Elsevier
Abstract In major Information Technology (IT) companies such as Google, Rackspace and
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 …

An energy, performance efficient resource consolidation scheme for heterogeneous cloud datacenters

AA Khan, M Zakarya, R Khan, IU Rahman… - Journal of Network and …, 2020 - Elsevier
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 …

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 …

[HTML][HTML] Adaptive sliding windows for improved estimation of data center resource utilization

W Iqbal, JL Berral, D Carrera - Future Generation Computer Systems, 2020 - Elsevier
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 …

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 …

Adoption and forecasting of technology: modeling the dynamics of cloud adoption using a system approach

M Sharma, R Gupta, P Acharya - Journal of Enterprise Information …, 2023 - emerald.com
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 …

EAMA: Efficient adaptive migration algorithm for cloud data centers (CDCs)

M Ibrahim, M Imran, F Jamil, YJ Lee, DH Kim - Symmetry, 2021 - mdpi.com
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 …