Task scheduling and resource allocation in cloud computing using a heuristic approach

MB Gawali, SK Shinde - Journal of Cloud Computing, 2018 - Springer
Cloud computing is required by modern technology. Task scheduling and resource
allocation are important aspects of cloud computing. This paper proposes a heuristic …

Optimized task scheduling for cost-latency trade-off in mobile fog computing using fuzzy analytical hierarchy process

E Hosseini, M Nickray, S Ghanbari - Computer Networks, 2022 - Elsevier
Abstract Mobile Fog Computing (MFC) paradigm can be integrated as a unit called as Multi-
Access Edge Computing (MFC) in a fifth-generation (5G) network. There are extensive …

Hybrid Genetic Algorithm for IOMT‐Cloud Task Scheduling

AA Hussain, F Al-Turjman - Wireless Communications and …, 2022 - Wiley Online Library
Task scheduling for the cloud is one of the main advances in IoMT stage, which impacts the
whole execution of the cloud resource. Cloud is a proficient headway for computation, and it …

Joint computation offloading and prioritized scheduling in mobile edge computing

L Gao, M Moh - … Conference on High Performance Computing & …, 2018 - ieeexplore.ieee.org
With the rapid development of smart phones and Internet of Things (IoT) devices, enormous
amounts of data have been generated. These data usually require real-time, intensive …

Time cheating in divisible load scheduling: sensitivity analysis, results and open problems

S Ghanbari, M Othman - Procedia Computer Science, 2018 - Elsevier
There is broad literature in relation to the Divisible Load Scheduling (DLS). The DLS is
based on the fact that the computation and communication can be separated into some …

Scheduling of domestic shiftable loads via Cuckoo search optimization algorithm

R Cakmak, IH Altas - 2016 4th International Istanbul smart grid …, 2016 - ieeexplore.ieee.org
Electrical power systems have been developed to more advanced structures called as
“smart grids”. Among many other issues, demand side management (DSM) is one of the …

Utility based load balancing using firefly algorithm in cloud

MT Tapale, RH Goudar, MN Birje, RS Patil - Journal of Data, Information …, 2020 - Springer
Scheduling and load balancing are the major challenges faced in cloud scenario due to
distributed computing and heterogeneous nature of the infrastructure. Scheduling of tasks to …

Divisible load framework and close form for scheduling in fog computing systems

M Kazemi, S Ghanbari, M Kazemi - … on Soft Computing and Data Mining …, 2020 - Springer
Fog computing is a possible way to reduce the latency of requests which have been sent to
the cloud centres. It means the jobs can be scheduled to fog systems before being sent to …

[PDF][PDF] IoMT-Cloud Task Scheduling Using AI.

AA Hussain, F Al-Turjman - CMES-Computer Modeling in …, 2023 - cdn.techscience.cn
The internet of medical things (IoMT) empowers patients to get adaptable, and virtualized
gear over the internet. Task scheduling is the most fundamental problem in the IoMT-cloud …

Connected vehicles versus conventional traffic congestion mitigation measures: An operational economic analysis

M Alzoubaidi, A Al-Balbissi, AR Alzoubaidi… - Azerbaijan Journal of …, 2021 - 82.194.3.83
This paper conducted an operational, economic analysis to assess alternative solutions to
traffic congestion. They involved integrating adaptive traffic signal control (ATSC) with …