Towards metaheuristic scheduling techniques in cloud and fog: an extensive taxonomic review
Task scheduling is a critical issue in distributed computing environments like cloud and fog.
The objective is to provide an optimal distribution of tasks among the resources. Several …
The objective is to provide an optimal distribution of tasks among the resources. Several …
Computing paradigms in emerging vehicular environments: A review
Determining how to structure vehicular network environments can be done in various ways.
Here, we highlight vehicle networks' evolution from vehicular ad-hoc networks (VANET) to …
Here, we highlight vehicle networks' evolution from vehicular ad-hoc networks (VANET) to …
Energy-optimized partial computation offloading in mobile-edge computing with genetic simulated-annealing-based particle swarm optimization
Smart mobile devices (SMDs) can meet users' high expectations by executing computational
intensive applications but they only have limited resources, including CPU, memory, battery …
intensive applications but they only have limited resources, including CPU, memory, battery …
Stochastic hybrid discrete grey wolf optimizer for multi-objective disassembly sequencing and line balancing planning in disassembling multiple products
Recycling, reusing, and remanufacturing of end-of-life (EOL) products have been receiving
increasing attention. They effectively preserve the ecological environment and promote the …
increasing attention. They effectively preserve the ecological environment and promote the …
Dendritic neuron model with effective learning algorithms for classification, approximation, and prediction
An artificial neural network (ANN) that mimics the information processing mechanisms and
procedures of neurons in human brains has achieved a great success in many fields, eg …
procedures of neurons in human brains has achieved a great success in many fields, eg …
Dual-objective mixed integer linear program and memetic algorithm for an industrial group scheduling problem
Z Zhao, S Liu, MC Zhou… - IEEE/CAA Journal of …, 2020 - ieeexplore.ieee.org
Group scheduling problems have attracted much attention owing to their many practical
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
applications. This work proposes a new bi-objective serial-batch group scheduling problem …
Security and trust issues in fog computing: A survey
Fog computing uses one or more collaborative end users or near-user edge devices to
perform storage, communication, control, configuration, measurement and management …
perform storage, communication, control, configuration, measurement and management …
Profit-maximized collaborative computation offloading and resource allocation in distributed cloud and edge computing systems
Edge computing is a new architecture to provide computing, storage, and networking
resources for achieving the Internet of Things. It brings computation to the network edge in …
resources for achieving the Internet of Things. It brings computation to the network edge in …
Multiobjective cloud workflow scheduling: A multiple populations ant colony system approach
Cloud workflow scheduling is significantly challenging due to not only the large scale of
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …
workflow but also the elasticity and heterogeneity of cloud resources. Moreover, the pricing …
Dynamic cloud task scheduling based on a two-stage strategy
PY Zhang, MC Zhou - IEEE Transactions on Automation …, 2017 - ieeexplore.ieee.org
To maximize task scheduling performance and minimize nonreasonable task allocation in
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …
clouds, this paper proposes a method based on a two-stage strategy. At the first stage, a job …