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 …

Performance evaluation metrics for cloud, fog and edge computing: A review, taxonomy, benchmarks and standards for future research

MS Aslanpour, SS Gill, AN Toosi - Internet of Things, 2020 - Elsevier
Optimization is an inseparable part of Cloud computing, particularly with the emergence of
Fog and Edge paradigms. Not only these emerging paradigms demand reevaluating cloud …

esDNN: deep neural network based multivariate workload prediction in cloud computing environments

M Xu, C Song, H Wu, SS Gill, K Ye, C Xu - ACM Transactions on Internet …, 2022 - dl.acm.org
Cloud computing has been regarded as a successful paradigm for IT industry by providing
benefits for both service providers and customers. In spite of the advantages, cloud …

Towards low-latency service delivery in a continuum of virtual resources: State-of-the-art and research directions

J Santos, T Wauters, B Volckaert… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
The advent of softwarized networks has enabled the deployment of chains of virtual network
and service components on computational resources from the cloud up to the edge, creating …

Cloud, fog and mist computing in IoT: an indication of emerging opportunities

S Ketu, PK Mishra - IETE Technical Review, 2022 - Taylor & Francis
In the last couple of years, massive growth has been seen in the Internet of Things (IoT). It is
being adopted by all the application areas worldwide and playing a vital role in making …

Machine learning-based auto-scaling for containerized applications

M Imdoukh, I Ahmad, MG Alfailakawi - Neural Computing and Applications, 2020 - Springer
Containers are sha** the new era of cloud applications due to their key benefits such as
lightweight, very quick to launch, consuming minimum resources to run an application which …

Research on auto-scaling of web applications in cloud: survey, trends and future directions

P Singh, P Gupta, K Jyoti, A Nayyar - Scalable Computing: Practice and …, 2019 - scpe.org
Cloud computing emerging environment attracts many applications providers to deploy web
applications on cloud data centers. The primary area of attraction is elasticity, which allows …

Data replication schemes in cloud computing: a survey

A Shakarami, M Ghobaei-Arani, A Shahidinejad… - Cluster …, 2021 - Springer
In recent years, cloud storage systems have emerged as a promising technology for storing
data blocks on various cloud servers. One of the main mechanisms in cloud storage systems …

ADRL: A hybrid anomaly-aware deep reinforcement learning-based resource scaling in clouds

S Kardani-Moghaddam, R Buyya… - … on Parallel and …, 2020 - ieeexplore.ieee.org
The virtualization concept and elasticity feature of cloud computing enable users to request
resources on-demand and in the pay-as-you-go model. However, the high flexibility of the …

Deep learning-based autoscaling using bidirectional long short-term memory for kubernetes

NM Dang-Quang, M Yoo - Applied Sciences, 2021 - mdpi.com
Presently, the cloud computing environment attracts many application developers to deploy
their web applications on cloud data centers. Kubernetes, a well-known container …