[PDF][PDF] Multi Objective Prairie Dog Optimization Algorithm for Task Scheduling and Load Balancing.

AS Chandrashekhar, NM Chandrashekarappa… - International Journal of …, 2024 - inass.org
An efficient task scheduling plays an important role in facilitating the virtual resource in a
cloud computing environment by minimalizing make span and enhancing the allocation of …

Effective task scheduling and dynamic resource optimization based on heuristic algorithms in cloud computing environment

F NZanywayingoma, Y Yang - KSII Transactions on Internet and …, 2017 - koreascience.kr
Cloud computing system consists of distributed resources in a dynamic and decentralized
environment. Therefore, using cloud computing resources efficiently and getting the …

A multi objective optimization for different services in green cloud environment

S Nivas - ZENITH International Journal of Multidisciplinary …, 2017 - indianjournals.com
Background: an energy efficient multi objective optimization technique is planned for a
multiple cloud service rendering by heterogeneous user tasks. This optimization technique …

[PDF][PDF] A Comparative Study of GA and PSO Algorithm in Cloud Computing and IoT Technology

S Tariq, MSA Rana, MJ Arshad - ijcst.org
Web administration organizations are excellent at organizing creative applications for
various Internet-based business arrangements. This paper uses two metaheuristic …

[引用][C] Efficient QoS oriented multi-objective ranking algorithm for cloud computing services

P Sirohi - 2020 - School of Computer Science, UPES …

A Salp Swarm Optimization for Dynamic Resource Management to Improve Quality of Service in Cloud Computing and IoT Environment

N Kumar, S Kumar - International Journal of Sensors Wireless …, 2022 - ingentaconnect.com
Background: Cloud Computing can process and utilize efficient resources within a metered
premise. This feature is a significant research problem, giving great Quality-of-Services …

Multi-Temporal-Scale Event Detection and Clustering in Iot Systems

Y Park, IY Ko - Available at SSRN 4846667 - papers.ssrn.com
Abstract Sensor-based Internet of Things (IoT) systems detect events from the data stream
and take appropriate actions through event processing. The core of event processing, event …

Research on Convergence Model of Diverse Solution Sets Based on Improved QPSO Algorithm

Q Zhang, K Feng, J Yao, R Ma… - 2023 IEEE 5th …, 2023 - ieeexplore.ieee.org
Aiming at the shortcomings of traditional particle swarm optimization (PSO), an improved
QPSO algorithm was proposed and applied to cloud computing resource scheduling …

Intelligent service selection in a multi-dimensional environment of cloud providers for internet of things stream data through cloudlets

OH Milani, SA Motamedi, S Sharifian, M Nazari-Heris - Energies, 2021 - mdpi.com
The expansion of Internet of Things (IoT) services and the huge amount of data generated
by different sensors signify the importance of cloud computing services such as Storage as a …

[PDF][PDF] An Wolf Hunting Approach for Optimization of Tasks Scheduling in Cloud Computing

P Patel, MG Kakita, D Das - 2022 - scholar.archive.org
Cloud computing is the most emerging technology in the era that provides scalable,
distributed, elastic computer resources for the end-user using the internet. However, the …