Editing Emerging Research Directions (section)

===7.1.6 Conclusion===
Here we have discussed task and resource as an exciting path forward to unlocking the full potential of edge computing. As edge systems continue to evolve and scale, the ability to intelligently manage computation offloading, resource allocation, and collaboration across heterogeneous and distributed nodes becomes increasingly important. These scheduling mechanisms can not only reduce latency and energy consumption but also enable scalability, resilience, and responsiveness in real-world applications, such as autonomous vehicles and industrial IoT networks. This emerging work will allow edge computing systems to operate more efficiently, securely, and adaptively in dynamic environments.