Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Deep learning architectures in emerging cloud computing architectures: Recent development, challenges and next research trend

F Jauro, H Chiroma, AY Gital, M Almutairi… - Applied Soft …, 2020 - Elsevier
The challenges of the conventional cloud computing paradigms motivated the emergence of
the next generation cloud computing architectures. The emerging cloud computing …

Machine learning (ML)-centric resource management in cloud computing: A review and future directions

T Khan, W Tian, G Zhou, S Ilager, M Gong… - Journal of Network and …, 2022 - Elsevier
Cloud computing has rapidly emerged as a model for delivering Internet-based utility
computing services. Infrastructure as a Service (IaaS) is one of the most important and …

Machine learning for energy-resource allocation, workflow scheduling and live migration in cloud computing: State-of-the-art survey

Y Kumar, S Kaul, YC Hu - Sustainable Computing: Informatics and Systems, 2022 - Elsevier
Abstract Machine learning and artificial intelligence techniques have been proven helpful
when pragmatic to a wide range of complex problems and areas such as energy …

From cloud down to things: An overview of machine learning in internet of things

F Samie, L Bauer, J Henkel - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
With the numerous Internet of Things (IoT) devices, the cloud-centric data processing fails to
meet the requirement of all IoT applications. The limited computation and communication …

The role of machine learning techniques in internet of things-based cloud applications

S Mishra, AK Tyagi - Artificial intelligence-based internet of things systems, 2022 - Springer
Abstract Today's Machine Learning (ML) in a blend with Internet of Things (IoT)-based cloud
applications plays a significant role in our everyday life. As indicated by Gartner's recent …

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges

SS Gill, S Tuli, M Xu, I Singh, KV Singh, D Lindsay… - Internet of Things, 2019 - Elsevier
Cloud computing plays a critical role in modern society and enables a range of applications
from infrastructure to social media. Such system must cope with varying load and evolving …

Deep learning models for cloud, edge, fog, and IoT computing paradigms: Survey, recent advances, and future directions

S Ahmad, I Shakeel, S Mehfuz, J Ahmad - Computer Science Review, 2023 - Elsevier
In recent times, the machine learning (ML) community has recognized the deep learning
(DL) computing model as the Gold Standard. DL has gradually become the most widely …

State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing

M Díaz, C Martín, B Rubio - Journal of Network and Computer applications, 2016 - Elsevier
Abstract The Internet of Things (IoT) is a paradigm based on the Internet that comprises
many interconnected technologies like RFID (Radio Frequency IDentification) and WSAN …

[PDF][PDF] Cloud computing: Issues & challenges

M Sajid, Z Raza - … conference on cloud, big data and trust, 2013 - wanivipin.wordpress.com
Cloud computing is a multifarious technological paradigm that is outgrowth of decades of
research in parallel computing, virtualization, networking and communication, utility …