Platform capable of realizing distributed computing resource management monitoring and algorithm testing

The invention provides a platform framework which can be actually used for distributed computing task allocation collaboration, real-time resource sensing and monitoring and DAG task generation and test completion, and has the characteristics of automatic task allocation and manual allocation, node survivability, resource task dynamic load balancing, node configurability and the like. Comprising the following steps: dynamically scanning available resources around nodes by utilizing the Internet of Things, Bluetooth and local area network technologies; performing task scheduling distribution algorithm testing on known or hypothetical nodes by using a simulation function; recording the state of each node, the resource use condition and the task processing state in real time; each function provides an interface tool and a log tool, and a task processing process can be reproduced and researched. 本发明提供了一种可实际用于分散计算任务分配协作、资源实时感知监视、DAG任务生成与完成测试的平台框架，具有任务自动分配和人工分配、节点可抗毁性、资源任务动态负载均衡、节点可配置等特点。包括利用物联网、蓝牙以及局域网技术动态扫描节点周围可用