Task scheduling in cloud computing based on meta-heuristics: review, taxonomy, open challenges, and future trends
Cloud computing is a recently looming-evoked paradigm, the aim of which is to provide on-
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
demand, pay-as-you-go, internet-based access to shared computing resources (hardware …
Metaheuristic research: a comprehensive survey
Because of successful implementations and high intensity, metaheuristic research has been
extensively reported in literature, which covers algorithms, applications, comparisons, and …
extensively reported in literature, which covers algorithms, applications, comparisons, and …
Efficient prioritization and processor selection schemes for heft algorithm: A makespan optimizer for task scheduling in cloud environment
Cloud computing is one of the most commonly used infrastructures for carrying out activities
using virtual machines known as processing units. One of the most fundamental issues with …
using virtual machines known as processing units. One of the most fundamental issues with …
UAV path planning using optimization approaches: A survey
A Ait Saadi, A Soukane, Y Meraihi… - … Methods in Engineering, 2022 - Springer
Path planning is one of the most important steps in the navigation and control of Unmanned
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …
Aerial Vehicles (UAVs). It ensures an optimal and collision-free path between two locations …
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 …
Load-balancing algorithms in cloud computing: A survey
EJ Ghomi, AM Rahmani, NN Qader - Journal of Network and Computer …, 2017 - Elsevier
Cloud computing is a modern paradigm to provide services through the Internet. Load
balancing is a key aspect of cloud computing and avoids the situation in which some nodes …
balancing is a key aspect of cloud computing and avoids the situation in which some nodes …
A novel hybrid grey wolf optimizer algorithm for unmanned aerial vehicle (UAV) path planning
C Qu, W Gai, J Zhang, M Zhong - Knowledge-Based Systems, 2020 - Elsevier
Unmanned aerial vehicle (UAV) path planning problem is an important component of UAV
mission planning system, which needs to obtain optimal route in the complicated field. To …
mission planning system, which needs to obtain optimal route in the complicated field. To …
Deep learning to filter SMS Spam
The popularity of short message service (SMS) has been growing over the last decade. For
businesses, these text messages are more effective than even emails. This is because while …
businesses, these text messages are more effective than even emails. This is because while …
[HTML][HTML] Heuristic initialization of PSO task scheduling algorithm in cloud computing
Task scheduling is one of the major issues in cloud computing environment. Efficient task
scheduling is substantial to attain cost-effective execution and improve resource utilization …
scheduling is substantial to attain cost-effective execution and improve resource utilization …
Task scheduling in cloud computing based on hybrid moth search algorithm and differential evolution
This paper presents an alternative method for cloud task scheduling problem which aims to
minimize makespan that required to schedule a number of tasks on different Virtual …
minimize makespan that required to schedule a number of tasks on different Virtual …