An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications
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 …
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
Nowadays, cloud and fog computing have been leveraged to enhance Internet of Things
(IoT) performance. The outstanding potential of cloud platforms accelerates the processing …
(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RETRACTED ARTICLE: A-COA: an adaptive cuckoo optimization algorithm for continuous and combinatorial optimization
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 …
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 …
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 …
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
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 …
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
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 …
increase in time complexity of application programs and decrease in hardware costs. In such …
Threshold greedy based task allocation for multiple robot operations
This paper deals with large-scale decentralised task allocation problems for multiple
heterogeneous robots with monotone submodular objective functions. One of the significant …
heterogeneous robots with monotone submodular objective functions. One of the significant …
Threshold bundle-based task allocation for multiple aerial robots
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 …
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 …
Big Data Analytics (BBDA) needs new advanced load balancing techniques. This paper …