Optimal cloud service provider selection: An MADM framework on correlation-based TOPSIS with interval-valued q-rung orthopair fuzzy soft set

RM Zulqarnain, H Garg, WX Ma, I Siddique - Engineering Applications of …, 2024 - Elsevier
The interaction between two factors significantly measures the results' exactness. But,
acquiring information for statistical computation is frequent, and the data obtained could be …

MTD-DHJS: makespan-optimized task scheduling algorithm for cloud computing with dynamic computational time prediction

P Banerjee, S Roy, A Sinha, MM Hassan, S Burje… - IEEE …, 2023 - ieeexplore.ieee.org
Cloud computing has revolutionized the management and analysis of data for organizations,
offering scalability, flexibility, and cost-effectiveness. Effective task scheduling in cloud …

An efficient approach to the map-reduce framework and genetic algorithm based whale optimization algorithm for task scheduling in cloud computing environment

MS Sanaj, PMJ Prathap - Materials Today: Proceedings, 2021 - Elsevier
In the digital era, cloud computing has emerged a significant service in the IT sector. It
ensures pooling of resources and provided services on-demand over the web. The …

A multi-criteria decision making heuristic for workflow scheduling in cloud computing environment

CT Kamanga, E Bugingo, SN Badibanga… - The Journal of …, 2023 - Springer
Cloud computing has long been recognized as the best way to execute and manage high-
performance applications across a variety of domains. Yet, cloud computing service …

Recommended system for cluster head selection in a remote sensor cloud environment using the fuzzy-based multi-criteria decision-making technique

P Mukherjee, PK Pattnaik, AA Al-Absi, DK Kang - Sustainability, 2021 - mdpi.com
Clustering is an energy-efficient routing algorithm in a sensor cloud environment (SCE). The
clustering sensor nodes communicate with the base station via a cluster head (CH), which …

A novel scheme to detect the best cloud service provider using logarithmic operational law in generalized spherical fuzzy environment

TS Haque, A Chakraborty, S Alam - Knowledge and Information Systems, 2023 - Springer
Generalized spherical fuzzy number (GSFN) is an extension of spherical fuzzy number
(SFN) which deals the uncertainties involved in the real-life problems in much better way …

Flying robot path planning techniques and its trends

R Maity, R Mishra, PK Pattnaik - Materials Today: Proceedings, 2023 - Elsevier
A Flying robot is a system capable of vertical take-off and landing to perform some specific
task with no direct human intervention. Flying robots are distinct from other robots by their …

[PDF][PDF] An Optimized VM Migration to Improve the Hybrid Scheduling in Cloud Computing.

R Boopathi, ES Samundeeswari - International Journal of Intelligent …, 2024 - inass.org
Cloud computing is a decentralized platform that efficiently allows user applications to utilize
various resources. However, it faces challenges in task scheduling (TS) and load balancing …

An improved task scheduling algorithm for conflict resolution in cloud environment

A Goyal, R Garg, KK Bhatia - International Journal of Computers …, 2024 - Taylor & Francis
The performance of the cloud-based systems is directly associated with the resource
utilization. The maximum resource utilization indicates the high performance of cloud …

Research on cloud computing task scheduling based on calculus mathematical equation

X Zou - Highlights in Science, Engineering and Technology, 2022 - drpress.org
Due to the heterogeneity, distribution, autonomy and diversity of services in cloud computing
environment, higher requirements are put forward for cloud platform scheduling mechanism …