Bio-inspired computation for big data fusion, storage, processing, learning and visualization: state of the art and future directions

AI Torre-Bastida, J Díaz-de-Arcaya, E Osaba… - Neural Computing and …, 2021 - Springer
This overview gravitates on research achievements that have recently emerged from the
confluence between Big Data technologies and bio-inspired computation. A manifold of …

Multi-objective hybrid genetic algorithm for task scheduling problem in cloud computing

P Pirozmand, AAR Hosseinabadi, M Farrokhzad… - Neural computing and …, 2021 - Springer
The cloud computing systems are sorts of shared collateral structure which has been in
demand from its inception. In these systems, clients are able to access existing services …

Improved red fox optimizer with fuzzy theory and game theory for task scheduling in cloud environment

BMH Zade, N Mansouri - Journal of Computational Science, 2022 - Elsevier
The tasks scheduling problem is about mapping tasks to resources so that the objectives
related to both users and service providers are satisfied. In this paper, three improvements …

Dynamic scheduling of tasks in cloud computing applying dragonfly algorithm, biogeography-based optimization algorithm and Mexican hat wavelet

MR Shirani, F Safi-Esfahani - The Journal of Supercomputing, 2021 - Springer
Cloud computing maps tasks to resources in a scalable fashion. The scheduling is an NP-
hard problem; thus, the scheduler chooses one solution from among many. This is the …

Cloud computing and virtualization

S Mangalampalli, PK Sree, SK Swain… - … of Cloud with AI for Big …, 2023 - Wiley Online Library
Cloud Computing is one of the revolutionized paradigms in the IT industry, which can
provide wide variety of services pay‐as‐you go model to all the customers in different …

Task scheduling in cloud computing environment based on enhanced marine predator algorithm

R Gong, DL Li, LL Hong, NX Xie - Cluster Computing, 2024 - Springer
Cloud computing has experienced extraordinary development across a wide range of
industries by giving customers the flexibility to employ computing resources as needed. The …

[PDF][PDF] A stochastic development of cloud computing based task scheduling algorithm

V Karunakaran - Journal of Soft Computing Paradigm (JSCP), 2019 - researchgate.net
Due to diversity of services with respect to technology and resources, it is challenging to
choose virtual machines (VM) from various data centres with varied features like cost …

E-learning in higher education in India: experiences and challenges—an exploratory study

K Taso, A Chakrabarty - Intelligent Computing and Innovation on Data …, 2020 - Springer
The world community is committed to achieve 17 goals popularly known as United Nation
Sustainable Development Goals (UNSDGs) of which education has been given major thrust …

HTSA: A novel hybrid task scheduling algorithm for heterogeneous cloud computing environment

I Behera, S Sobhanayak - Simulation Modelling Practice and Theory, 2024 - Elsevier
Cloud computing provides users and programs with scalable resources and on-demand
services virtually in real time, making it a fundamental paradigm in modern computing. The …

MOEAGAC: an energy aware model with genetic algorithm for efficient scheduling in cloud computing

NP Marri, NR Rajalakshmi - International Journal of Intelligent …, 2022 - emerald.com
Purpose Majority of the research work either concentrated on the optimization of scheduling
length and execution cost or energy optimization mechanism. This research aims to propose …