A review on task scheduling techniques in cloud and fog computing: taxonomy, tools, open issues, challenges, and future directions

ZA Khan, IA Aziz, NAB Osman, I Ullah - Ieee Access, 2023 - ieeexplore.ieee.org
Efficient task scheduling on the cloud is critical for optimal utilization of resources in data
centers. It became even more challenging with the emergence of 5G and IoT applications …

Preserving data confidentiality in association rule mining using data share allocator algorithm

D Dhinakaran, PM Prathap - arxiv preprint arxiv:2304.14605, 2023 - arxiv.org
These days, investigations of information are becoming essential for various associations all
over the globe. By and large, different associations need to perform information …

Security-aware task scheduling with deadline constraints on heterogeneous hybrid clouds

B Wang, C Wang, W Huang, Y Song, X Qin - Journal of Parallel and …, 2021 - Elsevier
Hybrid cloud is a cost-effective way to address the problem of insufficient resources for
satisfying its users' requirements in a private cloud by elastically scaling up or down its …

[HTML][HTML] A mixed-integer non-linear no-wait open-shop scheduling model for minimizing makespan and total tardiness in manufacturing

M Mirmozaffari, SM Hejazi, N Karamizadeh… - Decision Analytics …, 2024 - Elsevier
Open shop scheduling problems (OSSP) are highly significant in engineering and industry,
involving critical scheduling challenges. The job type determines the duration required for …

An enhanced Round robin (ERR) algorithm for effective and efficient task scheduling in cloud environment

MS Sanaj, PMJ Prathap - 2020 Advanced Computing and …, 2020 - ieeexplore.ieee.org
Efficient and Effective scheduling methods can result in more desired services to the
consumers and also can improve the performance of a cloud computing environment. The …

Locust inspired algorithm for cloudlet scheduling in cloud computing environments

MA Ala'anzy, M Othman, ZM Hanapi, MA Alrshah - Sensors, 2021 - mdpi.com
Cloud computing is an emerging paradigm that offers flexible and seamless services for
users based on their needs, including user budget savings. However, the involvement of a …

Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images

M Lekshmanan Chinna… - International Journal of …, 2024 - Wiley Online Library
Non‐cancerous growths called uterine fibroids develop in the uterus. They can vary in size,
location, and number, and can produce symptoms including excessive menstrual flow …

A comparative study of meta-heuristic-based task scheduling in cloud computing

R Kumar, J Bhagwan - Artificial intelligence and sustainable computing …, 2022 - Springer
The massive advances in web, mobile and computer technologies and its users are
exponentially growing. Now the era has come where every user is very much conscious …

A hybrid approach using ant colony optimization and binary particle swarm optimization (ACO: BPSO) for energy efficient multi-path routing in MANET

V Alappatt, PMJ Prathap - 2020 Advanced Computing and …, 2020 - ieeexplore.ieee.org
Independent mobile devices which are connected through wireless with certain energy
called the MANET. Communications between these devices on the network has a constraint …

Small intestine cancer prediction using deep learning: A comparative study of CNNs and RNNs

LS Beevi, PMJ Prathap, PHSK Reddy… - … Computing and High …, 2024 - ieeexplore.ieee.org
Small bowel cancer is one of the rare tumors that often stays untreated until it has spread to
a more advanced stage. Cancer is the leading cause of death in the globe. Early detection is …