[HTML][HTML] Cloud service performance evaluation: status, challenges, and opportunities–a survey from the system modeling perspective

Q Duan - Digital Communications and Networks, 2017 - Elsevier
With rapid advancement of Cloud computing and networking technologies, a wide spectrum
of Cloud services have been developed by various providers and utilized by numerous …

Applying queue theory for modeling of cloud computing: A systematic review

E Jafarnejad Ghomi, AM Rahmani… - Concurrency and …, 2019 - Wiley Online Library
The cloud computing paradigm is an important service in the Internet for sharing and
providing resources in a cost‐efficient way. Modeling of a cloud system is not an easy task …

A new energy aware task consolidation scheme for geospatial big data application in mist computing environment

RK Barik, SS Patra, P Kumari… - … on computing for …, 2021 - ieeexplore.ieee.org
The Internet of Spatial Things (IoST) are expanding rapidly for geospatial big data
applications in today's digital world. A large volume of geospatial data is produced between …

Scheduling internet of things applications in cloud computing

HS Narman, MS Hossain, M Atiquzzaman… - Annals of …, 2017 - Springer
Abstract Internet of Things (IoT) is one of the greatest technology revolutions in the history.
Due to IoT potential, daily objects will be consciously worked in harmony with optimized …

Energy-efficient task consolidation for cloud data center

SS Patra - International Journal of Cloud Applications and …, 2018 - igi-global.com
Energy saving in a Cloud Computing environment is a multidimensional challenge, which
can directly decrease the in-use costs and carbon dioxide emission, while raising the system …

GeoBD2: Geospatial big data deduplication scheme in fog assisted cloud computing environment

RK Barik, SS Patra, R Patro… - … on Computing for …, 2021 - ieeexplore.ieee.org
With the speedy expansion of Internet of Spatial Things, the enormous volume of geospatial
big data is produced by the IoT devices. It gives rise to the new challenges for real time …

Task classification and scheduling based on K-means clustering for edge computing

I Ullah, HY Youn - Wireless Personal Communications, 2020 - Springer
The rapid evolution of Internet of Things and cloud computing have endorsed a novel
computing paradigm called edge computing. Here tasks are processed by edge devices …

Dynamic performance optimization for cloud computing using M/M/m queueing system

L Guo, T Yan, S Zhao, C Jiang - Journal of applied mathematics, 2014 - Wiley Online Library
Successful development of cloud computing has attracted more and more people and
enterprises to use it. On one hand, using cloud computing reduces the cost; on the other …

CSFPA: An intelligent hybrid workflow scheduling algorithm based upon global and local optimization approach in cloud

G Sharma, S Khurana, S Harnal… - … Practice and Experience, 2022 - Wiley Online Library
In cloud, the most prominent area is workflow scheduling due to its widespread application
in different domains. It comes under the NP‐complete problem, henceforth researchers have …

Energy-efficient resource scheduling in fog computing using SDN framework

MA Ahmad, SS Patra, RK Barik - Progress in Computing, Analytics and …, 2020 - Springer
Fog computing is emerging as a powerful technology and computing paradigm which
enables the providers to execute the services in the edge network. Both sensor computing …