International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 5077 - 5090
Published: Aug. 16, 2024
Language: Английский
International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 5077 - 5090
Published: Aug. 16, 2024
Language: Английский
International Journal of Information Technology, Journal Year: 2024, Volume and Issue: unknown
Published: July 1, 2024
Language: Английский
Citations
4Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 25, 2025
The rise of Internet Things (IoT) applications has heightened the need for efficient resource allocation across edge-cloud continuum, combining low-latency edge nodes with high powered cloud servers. Optimizing this is challenging, especially when balancing cost and task completion time (makespan). Traditional algorithms often fall short in these dynamic environments, leading to suboptimal solutions. This paper introduces a hybrid Flower Pollination Algorithm Tabu Search (FPA-TS) algorithm address IoT-specific requirements multi objective optimization. enhanced FPA incorporates adaptive probability based on solution diversity levy flight control effective global search, while contributes memory guided local refinement further minimize makespan costs. Extensive simulations IoT scenarios show that FPA-TS outperforms existing algorithms, offering robust approach optimizing IoT-driven continuum.
Language: Английский
Citations
0International Journal of Information Technology, Journal Year: 2024, Volume and Issue: 16(8), P. 5077 - 5090
Published: Aug. 16, 2024
Language: Английский
Citations
0