An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications

HR Boveiri, R Khayami, M Elhoseny… - Journal of Ambient …, 2019 - Springer
In our rapidly-growing big-data area, often the big sensory data from Internet of Things (IoT)
cannot be sent directly to the far data-center in an efficient way because of the limitation in …

An optimal task scheduling method in IoT-Fog-Cloud network using multi-objective moth-flame algorithm

T Salehnia, A Seyfollahi, S Raziani, A Noori… - Multimedia Tools and …, 2024 - Springer
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …

RETRACTED ARTICLE: A-COA: an adaptive cuckoo optimization algorithm for continuous and combinatorial optimization

HR Boveiri, M Elhoseny - Neural Computing and Applications, 2020 - Springer
Cuckoo optimization algorithm (COA) is inspired from the special and exotic lifestyle of a bird
family called the cuckoo and her amazing and unique behavior in egg laying and breeding …

Multi-objective league championship algorithm for real-time task scheduling

S Subbaraj, R Thiagarajan, M Rengaraj - Neural computing and …, 2020 - Springer
League championship algorithm is a recently proposed population-based evolutionary
algorithm for finding global optimal solutions in continuous optimization problems. The …

An enhanced cuckoo optimization algorithm for task graph scheduling in cluster-computing systems

HR Boveiri - Soft Computing, 2020 - Springer
Optimized task scheduling is key to achieve high performance in the cluster-computing
systems whose application is broad ranging from scientific to the military purposes. This …

An intelligent hybrid approach for task scheduling in cluster computing environments as an infrastructure for biomedical applications

HR Boveiri, R Javidan, R Khayami - Expert Systems, 2021 - Wiley Online Library
Nowadays, increase in time complexity of applications and decrease in hardware costs are
two major contributing drivers for the utilization of high‐performance architectures such as …

[PDF][PDF] Static homogeneous multiprocessor task graph scheduling using ant colony optimization

HR Boveiri, R Khayami - … on Internet and Information Systems (TIIS), 2017 - koreascience.kr
Nowadays, the utilization of multiprocessor environments has been increased due to the
increase in time complexity of application programs and decrease in hardware costs. In such …

Threshold greedy based task allocation for multiple robot operations

T Li, HS Shin, A Tsourdos - arxiv preprint arxiv:1909.01239, 2019 - arxiv.org
This paper deals with large-scale decentralised task allocation problems for multiple
heterogeneous robots with monotone submodular objective functions. One of the significant …

Threshold bundle-based task allocation for multiple aerial robots

T Li, HS Shin, A Tsourdos - IFAC-PapersOnLine, 2020 - Elsevier
This paper focuses on the large-scale task allocation problem for multiple Unmanned Aerial
Vehicles (UAVs). One of the great challenges with task allocation is the NP-hardness for …

[PDF][PDF] A New Non-Stigmergic-Ant Algorithm to Make Load Balancing Resilient in Big Data Processing for Enterprises

SC Gamoura - Artif. Algorithms Natural Algorithms, 2020 - researchgate.net
Due to the continuous evolution of the Big Data phenomenon, data processing in Business
Big Data Analytics (BBDA) needs new advanced load balancing techniques. This paper …