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A review on task scheduling techniques in cloud and fog computing: taxonomy, tools, open issues, challenges, and future directions
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 …
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
These days, investigations of information are becoming essential for various associations all
over the globe. By and large, different associations need to perform information …
over the globe. By and large, different associations need to perform information …
Security-aware task scheduling with deadline constraints on heterogeneous hybrid clouds
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 …
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 …
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 …
consumers and also can improve the performance of a cloud computing environment. The …
Locust inspired algorithm for cloudlet scheduling in cloud computing environments
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 …
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 …
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 …
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
Independent mobile devices which are connected through wireless with certain energy
called the MANET. Communications between these devices on the network has a constraint …
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
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 …
a more advanced stage. Cancer is the leading cause of death in the globe. Early detection is …