Task scheduling algorithms for energy optimization in cloud environment: a comprehensive review
R Ghafari, FH Kabutarkhani, N Mansouri - Cluster Computing, 2022 - Springer
Cloud computing is very popular because of its unique features such as scalability, elasticity,
on-demand service, and security. A large number of tasks are performed simultaneously in a …
on-demand service, and security. A large number of tasks are performed simultaneously in a …
A revocable and outsourced multi-authority attribute-based encryption scheme in fog computing
Fog computing is a revolutionary technology for the next generation to bridge the gap
between cloud data centers and end-users. Fog computing is not a counterfeit for cloud …
between cloud data centers and end-users. Fog computing is not a counterfeit for cloud …
Multiprocessor task scheduling using multi-objective hybrid genetic Algorithm in Fog–cloud computing
Multiprocessor task scheduling is an operation of processing more than two tasks
simultaneously in the system. The Fog–cloud multiprocessor computing structures are the …
simultaneously in the system. The Fog–cloud multiprocessor computing structures are the …
Social phenomena and fog computing networks: A novel perspective for future networks
Fog computing is an emerging technology that aims at reducing the load on cloud data
centers by migrating some computation and storage toward end-users. It leverages the …
centers by migrating some computation and storage toward end-users. It leverages the …
A novel technique to optimize quality of service for directed acyclic graph (DAG) scheduling in cloud computing environment using heuristic approach
At present, the cloud computing environment (CCE) has emerged as one of the significant
technologies in communication, computing, and the Internet. It facilitates on-demand …
technologies in communication, computing, and the Internet. It facilitates on-demand …
A neural network architecture optimizer based on DARTS and generative adversarial learning
T Zhang, M Waqas, H Shen, Z Liu, X Zhang, Y Li… - Information …, 2021 - Elsevier
Neural network architecture search automatically configures a set of network architectures
according to the targeted rules. Thus, it relieves the human-dependent effort and repetitive …
according to the targeted rules. Thus, it relieves the human-dependent effort and repetitive …
Smart edge computing for 5 g/6 g satellite iot for reducing inter transmission delay
AS Mohammed, K Venkatachalam… - Mobile Networks and …, 2022 - Springer
Abstract 5G/6G communication are first generation high speed wireless communication
network which integrates the aerial data, terrestrial data and maritime data via satellite to IoT …
network which integrates the aerial data, terrestrial data and maritime data via satellite to IoT …
Optimization of parallel test task scheduling with constraint satisfaction
J Gao, X Zhu, R Zhang - The Journal of Supercomputing, 2023 - Springer
Parallel test task scheduling is an efficient way to shorten the final makespan of several
huge test projects. Put simply, a set of test tasks should be processed on several unrelated …
huge test projects. Put simply, a set of test tasks should be processed on several unrelated …
Weakly-supervised butterfly detection based on saliency map
Given the actual needs for detecting multiple features of butterflies in natural ecosystems,
this paper proposes a model of weakly-supervised butterfly detection based on a saliency …
this paper proposes a model of weakly-supervised butterfly detection based on a saliency …
RADL: a resource and deadline-aware dynamic load-balancer for cloud tasks
Cloud service providers acquire the computing resources and allocate them to their clients.
To effectively utilize the resources and achieve higher user satisfaction, efficient task …
To effectively utilize the resources and achieve higher user satisfaction, efficient task …