Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends

EH Houssein, AG Gad, YM Wazery… - Swarm and Evolutionary …, 2021 - Elsevier
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …

Challenges of internet of things and big data integration

Z Alansari, NB Anuar, A Kamsin, S Soomro… - … in Computing: First …, 2018 - Springer
Abstract The Internet of Things anticipates the conjunction of physical gadgets to the Internet
and their access to wireless sensor data which makes it expedient to restrain the physical …

A comprehensive survey on cloud computing scheduling techniques

S Gupta, S Tripathi - Multimedia Tools and Applications, 2024 - Springer
The tremendous increase in daily internet users leads to the explosion of on-demand
requests over the cloud. It causes a burden in the cloud environment (diverse and …

Delay Tolerant and Energy Reduced Task Allocation in Internet of Things with Cloud Systems

DR Patil, B Borkar, A Markad, S Kadlag… - 2022 International …, 2022 - ieeexplore.ieee.org
Through the utilization of the Internet, cloud computing supplies storage and computation
resources to deliver services for many sectors. The speed of such systems suffers, though …

Improving utilization of heterogeneous clusters

E Stafford, JL Bosque - The Journal of Supercomputing, 2020 - Springer
Datacenters often agglutinate sets of nodes with different capabilities, leading to a sub-
optimal resource utilization. One of the best ways of improving utilization is to balance the …

Performance and energy task migration model for heterogeneous clusters

E Stafford, JL Bosque - The Journal of Supercomputing, 2021 - Springer
This article presents a set of linear regression models to predict the impact of task migration
on different objectives, like performance and energy consumption. It allows to establish …

Load balancing in Cloud Computing Environment using Modified Genetic Algorithm

N Verma, BN Gohil, AS Kansara - 2023 6th International …, 2023 - ieeexplore.ieee.org
Cloud Computing has brought significant changes in the field of computing. Load balancing
is a method by which the distribution of dynamic workload to various virtual machine in a …

[PDF][PDF] Synchronized Multi-Load Balancer with Fault Tolerance in Cloud

KR Babu - arXiv preprint arXiv:1811.01319, 2018 - arxiv.org
Synchronized Multi-Load Balancer with Fault Tolerance in Cloud Page 1 International Journal of
Computer Information Systems and Industrial Management Applications. ISSN 2150-7988 …

Least afflicted load balancing algorithm (lalba) for performance improvement of multi-scale applications in cloud environment

V Kumbhar, J Yadav, AH Kumar - Turkish Journal of Computer …, 2021 - search.proquest.com
Cloud computing is new image of Information Technology and the way applications are
available to end-users. Also, the applications available are gaining popularity as being able …

Particle Swarm Optimization with Enhanced Neighborhood Search Algorithm and Probabilistic Crossover Genetic Algorithm for Task Scheduling in Cloud Computing

MS Al Shamaa - 2023 - repository.library.carleton.ca
Considering the dynamic and elastic nature of cloud computing services, service providers
must provide efficient task-scheduling solutions to accommodate the increasing demands in …