Dalam beberapa tahun terakhir, permintaan untuk pemrosesan data secara real-time dan pengelolaan sumber daya dalam lingkungan komputasi terdistribusi telah menjadikan komputasi edge semakin penting. Seiring dengan berkembangnya Internet of Things (IoT), kebutuhan akan teknologi komunikasi yang efisien dan infrastruktur ICT yang kuat semakin mendesak. Salah satu tantangan utama dalam pengelolaan sumber daya di dalam komputasi edge adalah penjadwalan dan optimalisasi, terutama terkait dengan konsumsi energi dan waktu tunda (latency). read more

In recent years, the demand for real-time data processing and resource management in distributed computing environments has made edge computing increasingly vital. As the Internet of Things (IoT) continues to expand, the need for efficient communication technologies and robust ICT infrastructure has never been more pressing. One of the primary challenges in resource management within edge computing is scheduling and optimization, particularly concerning energy consumption and latency.

This research proposal aims to address these challenges by developing a model for energy and latency optimization using metaheuristic optimization algorithms, specifically Bacterial Foraging Optimization (BFO). The BFO algorithm will be enhanced by integrating a fuzzy system to improve its performance, aiding in the convergence of BFO in relation to scheduling efficiency while reducing latency and energy consumption. read more