About A Java-based implementation of key distributed scheduling algorithms—Alt-Optimal, Odd-Even, and Sasaki. This project simulates process coordination in distributed systems and includes complexity ...

Scheduling algorithms assign contention probability for each link in wireless ad hoc networks and plays a key role in deciding the system performance. Recently, many low-cost distributed scheduling ...

In a peer-to-peer wireless network, efficient distributed scheduling algorithms generally require all active nodes to acquire the state information of their respective neighbors, e.g., their queue ...

Resource Utilization The GA-based schedule also resulted in higher resource utilization: GA: 83.9% CPU, 80.8% Memory First-Fit: 71.4% CPU, 67.1% Memory These results show that the genetic algorithm ...

Distributed Constraint Optimisation and Search Algorithms form a vital framework for addressing complex decision‐making and scheduling problems in multi-agent systems.

The paper “Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints,” authored by Xueyan Sun, Weiming Shen, Jiaxin ...

The SEI has been instrumental in developing the rate monotonic scheduling paradigm, publishing A Practitioner’s Handbook for Real-Time Analysis: Guide to Rate Monotonic Analysis for Real-Time Systems ...