Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence

R Aron, A Abraham - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
The growth and development of scientific applications have demanded the creation of
efficient resource management systems. Resource provisioning and scheduling are two …

Joint optimization of data placement and scheduling for improving user experience in edge computing

C Li, J Bai, JH Tang - Journal of Parallel and Distributed Computing, 2019 - Elsevier
In recent years, edge computing becomes an increasingly popular alternative. Edge
computing allows the computation is implemented in the edge of network, in which the data …

An adaptive scheduling approach based on integrated best-worst and VIKOR for cloud computing

E Rafieyan, R Khorsand, M Ramezanpour - Computers & Industrial …, 2020 - Elsevier
Cloud computing is a new distributed environment to provide on-demand services through
the internet and has become popular due to this specific feature. By increasing the count of …

A whale optimization system for energy-efficient container placement in data centers

A Al-Moalmi, J Luo, A Salah, K Li, L Yin - Expert Systems with Applications, 2021 - Elsevier
The recent popularity of the container-as-a-service (CaaS) paradigm in data centers and
with cloud providers increases the significance of the process of container deployment …

Towards simulating the internet of things

S Sotiriadis, N Bessis… - 2014 28th …, 2014 - ieeexplore.ieee.org
There is an increasing interest in Internet of Things (IoT) and healthcare is considered to be
one of the most common applications of it. Using the IoT paradigm, various devices …

Distributed coordination control of traffic network flow using adaptive genetic algorithm based on cloud computing

Y Zhang, Y Zhou - Journal of Network and Computer Applications, 2018 - Elsevier
Adaptive traffic signal control can automatically adjust signal cycles, offsets and green ratios
with the fluctuations of traffic flow to reduce the delay of vehicle fleets. At present, cloud …

CGSA scheduler: A multi-objective-based hybrid approach for task scheduling in cloud environment

K Pradeep, TP Jacob - Information Security Journal: A Global …, 2018 - Taylor & Francis
In cloud computing task scheduling is one of the important processes. The key problem of
scheduling is how to allocate the entire task to a corresponding virtual machine while …

Efficiently and securely outsourcing compressed sensing reconstruction to a cloud

Y Zhang, Y Xiang, LY Zhang, LX Yang, J Zhou - Information Sciences, 2019 - Elsevier
Compressed sensing has considerable potential for utilization in various fields owing to its
efficient sampling process, but its reconstruction complexity is extremely high. For resource …

Energy-latency aware offloading for hierarchical mobile edge computing

B Wu, J Zeng, L Ge, X Su, Y Tang - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) enhances the computing capacity of resources-poor user
equipment (UE) by computational offloading. However, edge clouds suffer from a limited …

An inter-cloud meta-scheduling (icms) simulation framework: Architecture and evaluation

S Sotiriadis, N Bessis, A Anjum… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
Inter-cloud is an approach that facilitates scalable resource provisioning across multiple
cloud infrastructures. In this paper, we focus on the performance optimization of …