Abstract: A system for monitoring and managing internet of things devices, the system comprising a distributed approach, wherein a cloud server coordinates control agents that directly manage IoT devices. The agents collaborate to handle device monitoring, data collection, and command execution in a closed-loop manner, ensuring continuous oversight. The Agents can autonomously reissue commands if execution fails, stop devices if necessary, and even share control responsibilities among themselves, providing redundancy. This decentralized approach reduces reliance on a central server, minimizes single points of failure, and improves responsiveness by allowing agents to manage devices independently or in cooperation.

Abstract: Systems and methods for managing a computing task are provided. The system includes a controller configured to receive the computing task, present to a client a set of factors defining desired conditions related to executing the computing task, receive a demand computing strategy associated with the computing task indicating one or more factors selected by the client and a constraint and a weight related to each factor from the one or more selected factors, receive a plurality of supply computing strategies from a plurality of datacenters, each supply computing strategy corresponding to a datacenter from the plurality of datacenters, calculate a task scheduling strategy based at least on the demand computing strategy and a supply computing strategy, select a candidate datacenter from the plurality of datacenters according to a predetermined rule, and schedule the computing task for execution on the candidate datacenter according to the task scheduling strategy.