The mapping trick: leveraging RoboSoccer obstacle avoidance and navigation for advanced task scheduling solutions in foggy IoE ecosystems

The Journal of Supercomputing, Год журнала: 2025, Номер 81(5)

Опубликована: Апрель 15, 2025

Язык: Английский

An Efficient Load Distribution Approach for Optimizing Resources in SDN‐Based Edge Computing Environment

Concurrency and Computation Practice and Experience, Год журнала: 2025, Номер 37(12-14)

Опубликована: Май 14, 2025

ABSTRACT In the rapidly evolving networking and communication technology era, emergence of novel edge computing paradigms helps reduce latency improve efficiency. The advancements bring data processing closer to its source, reducing distance. Moreover, integrating Software‐Defined Networking (SDN) in enhances network management by decoupling control plane from plane, enabling more flexible efficient resource allocation distributed environments. However, scheduling, allocation, load balancing are significant obstacles enhancing resources' performance. Besides, help use all resources optimize system's performance effectively. To address these issues, this paper proposed an Average‐Based Resource Allocation Load Balancing (ABRL) algorithm for task balancing, which aims minimize task's completion time enhance utilization. A three‐layer SDN‐based architecture is designed implement that improves simulation studies have been conducted using OpenDaylight (ODL) controller implemented Python. Experimental results demonstrate strategy optimizes makespan, average utilization, level under consideration exhibits better than existing state‐of‐the‐art techniques.

Язык: Английский

Enhanced Priority Based Task Scheduling with Integrated Fault Tolerance in Distributed Systems

International Journal of Cognitive Computing in Engineering, Год журнала: 2024, Номер unknown

Опубликована: Дек. 1, 2024

Язык: Английский