Virtualizing mixed-criticality systems: A survey on industrial trends and issues

M Cinque, D Cotroneo, L De Simone… - Future Generation …, 2022 - Elsevier
Virtualization is gaining attraction in the industry as it promises a flexible way to integrate,
manage, and re-use heterogeneous software components with mixed-criticality levels, on a …

[HTML][HTML] Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review

S Taherizadeh, AC Jones, I Taylor, Z Zhao… - Journal of Systems and …, 2018 - Elsevier
Recently, a promising trend has evolved from previous centralized computation to
decentralized edge computing in the proximity of end-users to provide cloud applications. To …

AI-Powered Edge Computing in Cloud Ecosystems: Enhancing Latency Reduction and Real-Time Decision-Making in Distributed Networks

P Nama, M Bhoyar, S Chinta - Well Testing Journal, 2024 - welltestingjournal.com
Integrating edge computing with AI offers a profoundly enabling opportunity to reduce
latency and allow real-time decision-making in distributed networks within cloud …

Enabling fog computing for industrial automation through time-sensitive networking (TSN)

P Pop, ML Raagaard, M Gutierrez… - IEEE Communications …, 2018 - ieeexplore.ieee.org
In this article, we advocate for the use of IEEE 802.1 Time-Sensitive Networking (TSN) as
deterministic transport for the network layer of fog computing in industrial automation. We …

A fad or future of IT?: A comprehensive literature review on the cloud computing research

M Bayramusta, VA Nasir - International Journal of Information Management, 2016 - Elsevier
Cloud computing is now a global trend and during the past decade, has drawn attention
from both academic and business communities. Although the evolution of cloud computing …

The implications of big data analytics on business intelligence: A qualitative study in China

J Ram, C Zhang, A Koronios - Procedia Computer Science, 2016 - Elsevier
Social media has brought about a revolution and dictated a paradigm shift in the operational
strategies of firms globally. It has resulted in collection of massive data from a variety of …

A performance comparison of linux containers and virtual machines using Docker and KVM

MS Chae, HM Lee, K Lee - Cluster Computing, 2019 - Springer
Virtualization is a foundational element of cloud computing. Since cloud computing is slower
than a native system, this study analyzes ways to improve performance. We compared the …

Performance interference of virtual machines: A survey

W Lin, C Xiong, W Wu, F Shi, K Li, M Xu - ACM Computing Surveys, 2023 - dl.acm.org
The rapid development of cloud computing with virtualization technology has benefited both
academia and industry. For any cloud data center at scale, one of the primary challenges is …

Cloud computing for cloud manufacturing: benefits and limitations

P Wang, RX Gao, Z Fan - Journal of …, 2015 - asmedigitalcollection.asme.org
Cloud computing, as a new paradigm for aggregating computing resources and delivering
services over the Internet, is of considerable interest to both academia and the industry. In …

[HTML][HTML] Introducing the new paradigm of social dispersed computing: Applications, technologies and challenges

M García-Valls, A Dubey, V Botti - Journal of Systems Architecture, 2018 - Elsevier
If last decade viewed computational services as a utilitythen surely this decade has
transformed computation into a commodity. Computation is now progressively integrated …