Future FANET with application and enabling techniques: Anatomization and sustainability issues
A Srivastava, J Prakash - Computer science review, 2021 - Elsevier
Rapid expansion and technological advancement of Wireless communication lead by
researchers in different fields of engineering have achieved various milestones. Its efficient …
researchers in different fields of engineering have achieved various milestones. Its efficient …
Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost
A Belgacem, K Beghdad-Bey - Cluster Computing, 2022 - Springer
Recently, modern businesses have started to transform into cloud computing platforms to
deploy their workflow applications. However, scheduling workflow under resource allocation …
deploy their workflow applications. However, scheduling workflow under resource allocation …
Energy efficient and reliability aware workflow task scheduling in cloud environment
With the rising demand for cloud services, the high energy consumption of cloud data
centers is a significant problem that needs to be handled. The Dynamic Voltage and …
centers is a significant problem that needs to be handled. The Dynamic Voltage and …
Morphologically dilated convolutional neural network for hyperspectral image classification
The use of hyperspectral images is expanding rapidly with the advancement of remote
sensing technologies. The precise classification of features for mapping land cover through …
sensing technologies. The precise classification of features for mapping land cover through …
Convolution neural network based lossy compression of hyperspectral images
The large size of hyperspectral imaging poses a significant threat to its potential use in real
life due to the abundant information stored in it. The use of deep learning for such data …
life due to the abundant information stored in it. The use of deep learning for such data …
Redefining teaching-and-learning-process in TLBO and its application in cloud
Abstract Teaching-Learning-Based Optimization (TLBO) algorithm was developed to solve
single-objective optimization problems. TLBO is inspired by the theory of teaching-learning …
single-objective optimization problems. TLBO is inspired by the theory of teaching-learning …
[HTML][HTML] Energy-efficient virtual-machine mapping algorithm (EViMA) for workflow tasks with deadlines in a cloud environment
Processing large scientific applications generates a huge amount of data, which makes
running experiments in the cloud computing environment very expensive and energy …
running experiments in the cloud computing environment very expensive and energy …
Energy and cost aware workflow scheduling in clouds with deadline constraint
Cloud computing is a promising platform for executing scientific workflow applications.
Commonly, the scientific workflow applications are complex in size and computation …
Commonly, the scientific workflow applications are complex in size and computation …
A variant of teaching‐learning‐based optimization and its application for minimizing the cost of Workflow Execution in the Cloud Computing
SDK Ram, S Srivastava… - … Practice and Experience, 2021 - Wiley Online Library
Teaching learning‐based optimization (TLBO) was proposed by Rao to solve optimization
problems. It is based on the theory of teaching‐learning mechanism. Although it performs …
problems. It is based on the theory of teaching‐learning mechanism. Although it performs …
User-defined weight based multi objective task scheduling in cloud using whale optimization algorithm
Cloud computing has revolutionized the IT landscape, providing scalable, on-demand
computing resource. For efficiency in cloud environments, it is essential for modern …
computing resource. For efficiency in cloud environments, it is essential for modern …