A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments
L Abualigah, A Diabat - Cluster Computing, 2021 - Springer
Efficient task scheduling is considered as one of the main critical challenges in cloud
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
computing. Task scheduling is an NP-complete problem, so finding the best solution is …
A secure and multiobjective virtual machine placement framework for cloud data center
To facilitate cost-effective and elastic computing benefits to the cloud users, the energy-
efficient and secure allocation of virtual machines (VMs) plays a significant role at the data …
efficient and secure allocation of virtual machines (VMs) plays a significant role at the data …
A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data center
This work proposes an energy-efficient resource provisioning and allocation framework to
meet dynamic demands of the future applications. The frequent variations in a cloud user's …
meet dynamic demands of the future applications. The frequent variations in a cloud user's …
OP-MLB: an online VM prediction-based multi-objective load balancing framework for resource management at cloud data center
The elasticity of cloud resources allows cloud clients to expand and shrink their demand for
resources dynamically over time. However, fluctuations in the resource demands and pre …
resources dynamically over time. However, fluctuations in the resource demands and pre …
OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments
The indispensable collaboration of cloud computing in every digital service has raised its
resource usage exponentially. The ever-growing demand of cloud resources evades service …
resource usage exponentially. The ever-growing demand of cloud resources evades service …
Auto-adaptive learning-based workload forecasting in dynamic cloud environment
To maintain elasticity and scalability of resources at cloud data centers, future workload
prediction has become an indispensable requirement. However, there is high variance in …
prediction has become an indispensable requirement. However, there is high variance in …
A cryptography and machine learning based authentication for secure data-sharing in federated cloud services environment
Secure mutual authentication is an indispensable requirement to share organizational
invaluable data among collaborating entities in federated cloud environment. This work …
invaluable data among collaborating entities in federated cloud environment. This work …
Task scheduling in cloud computing: A priority-based heuristic approach
In this paper, a task scheduling problem for a cloud computing environment is formulated by
using the M/M/n queuing model. A priority assignment algorithm is designed to employ a …
using the M/M/n queuing model. A priority assignment algorithm is designed to employ a …
Ts-gwo: Iot tasks scheduling in cloud computing using grey wolf optimizer
The most critical action in the Internet of things (IoT), particularly in the cloud computing (CC)
ecosystem, is job/task scheduling. The rule of the task scheduling (TS) means that how to …
ecosystem, is job/task scheduling. The rule of the task scheduling (TS) means that how to …
Workload forecasting and resource management models based on machine learning for cloud computing environments
The workload prediction and resource allocation significantly play an inevitable role in
production of an efficient cloud environment. The proactive estimation of future workload …
production of an efficient cloud environment. The proactive estimation of future workload …