A survey of data center consolidation in cloud computing systems

L Helali, MN Omri - Computer Science Review, 2021 - Elsevier
Virtualization technology is the backbone of cloud systems, the fastest-growing energy
consumers, globally. It holds an imperative position in the resource management area by …

Fault tolerance in cloud computing environment: A systematic survey

M Hasan, MS Goraya - Computers in Industry, 2018 - Elsevier
Fault tolerance is among the most imperative issues in cloud to deliver reliable services. It is
difficult to implement due to dynamic service infrastructure, complex configurations and …

Customer experience management in retailing: An organizing framework

D Grewal, M Levy, V Kumar - Journal of retailing, 2009 - Elsevier
Survival in today's economic climate and competitive retail environment requires more than
just low prices and innovative products. To compete effectively, businesses must focus on …

Cost-aware job scheduling for cloud instances using deep reinforcement learning

F Cheng, Y Huang, B Tanpure, P Sawalani, L Cheng… - Cluster …, 2022 - Springer
As the services provided by cloud vendors are providing better performance, achieving auto-
scaling, load-balancing, and optimized performance along with low infrastructure …

Towards understanding uncertainty in cloud computing with risks of confidentiality, integrity, and availability

A Tchernykh, U Schwiegelsohn, E Talbi… - Journal of Computational …, 2019 - Elsevier
An extensive research has led to a general understanding of uncertainty issues in different
fields ranging from computational biology to decision making in economics. However, a …

Quantifying uncertainty in internet of medical things and big-data services using intelligence and deep learning

F Al-Turjman, H Zahmatkesh, L Mostarda - IEEE Access, 2019 - ieeexplore.ieee.org
In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an
important element input to keep the acceptable level of reliability in various configurations. In …

Design and evaluation of a scalable smart city software platform with large-scale simulations

AM Del Esposte, EFZ Santana, L Kanashiro… - Future Generation …, 2019 - Elsevier
Smart Cities combine advances in Internet of Things, Big Data, Social Networks, and Cloud
Computing technologies with the demand for cyber–physical applications in areas of public …

Uncertainty-aware decisions in cloud computing: Foundations and future directions

HMD Kabir, A Khosravi, SK Mondal… - ACM Computing …, 2021 - dl.acm.org
The rapid growth of the cloud industry has increased challenges in the proper governance of
the cloud infrastructure. Many intelligent systems have been developing, considering …

DRL-scheduling: An intelligent QoS-aware job scheduling framework for applications in clouds

Y Wei, L Pan, S Liu, L Wu, X Meng - IEEE access, 2018 - ieeexplore.ieee.org
As an increasing number of traditional applications migrated to the cloud, achieving
resource management and performance optimization in such a dynamic and uncertain …

Cloud resource demand prediction using machine learning in the context of QoS parameters

P Nawrocki, P Osypanka - Journal of Grid Computing, 2021 - Springer
Predicting demand for computing resources in any system is a vital task since it allows the
optimized management of resources. To some degree, cloud computing reduces the …