System device for technical task control in cloud computing systems
The system device addresses inefficiencies in cloud computing by autonomously managing tasks across nodes using real-time status data, improving efficiency and scalability through hardware-based control signals.
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Utility models
- Current Assignee / Owner
- Filing Date
- 2026-01-11
- Publication Date
- 2026-04-09
AI Technical Summary
Existing cloud computing systems inadequately consider real-time technical state data of cloud computing nodes, leading to inefficiencies in task management due to reliance on user intervention and application software, and lack system-wide, autonomous task control.
A system device with a processing unit, interface, resource acquisition, and task control unit that collects node status data and generates hardware-based assignment signals for task execution across clouds, considering multiple technical parameters, independent of user intervention and application software.
Enables efficient, scalable, and robust system-wide task management by autonomously controlling computational tasks based on real-time node status, enhancing efficiency and reducing reliance on user intervention.
Abstract
Description
Technical field
[0001] The invention relates to the technical field of distributed cloud computing systems and system-level task control. In particular, the invention relates to a system device that distributes and controls computing tasks across a plurality of cloud computing nodes, taking into account technical system parameters. State of the art
[0002] In modern cloud computing systems, computational tasks are often executed across a large number of distributed computing nodes. Known solutions for task distribution are predominantly based on application-side software or on static allocation mechanisms that only respond to dynamic system states to a limited extent.
[0003] Such established systems only inadequately consider technical state data of the cloud computing nodes, such as workload, storage availability, or network status, or not in real time. Furthermore, many existing solutions depend on user intervention or the application software of the computing nodes, which impairs the efficiency, scalability, and robustness of task management.
[0004] Therefore, the current state of the art does not offer a system device that controls computing tasks system-wide, autonomously, and taking into account several technical system parameters across clouds. Object of the invention
[0005] The object of the present invention is to provide a system device for technical task control in cloud computing systems that: • Status data from multiple cloud computing nodes is collected, • Assigns computing tasks across clouds, • several technical system parameters are taken into account during task control, • enables the simultaneous control of multiple computational tasks, • works independently of user intervention and application software, and • provides system-side logging of task control. Summary of the invention
[0006] The task is solved by a system device for technical task control in cloud computing systems with the features of the claims.
[0007] The system device comprises at least one processing unit, an interface unit for coupling with multiple cloud computing nodes, a resource acquisition unit, and a task control unit. The task control unit generates hardware- or firmware-based technical assignment signals that control the execution of computational tasks in the cloud computing nodes, taking into account several technical system parameters. Detailed description of the invention
[0008] The system device according to the invention is designed as a central or distributed control unit within a cloud infrastructure.
[0009] A processing unit coordinates task control and is connected to multiple cloud computing nodes via an interface unit. This interface unit enables the exchange of control and status information between the system device and the cloud computing nodes.
[0010] The resource monitoring unit collects status data from the cloud computing nodes. This status data includes, in particular, the compute load, storage availability, network status, and energy status of the respective computing nodes. The collected status data is then fed to the task control unit.
[0011] The task control unit is implemented at the hardware or firmware level and generates technical assignment signals to control the execution of computational tasks. The task control unit assigns computational tasks across clouds, taking into account several technical system parameters of the cloud computing nodes.
[0012] In a preferred embodiment, the task control unit is configured to simultaneously control multiple computing tasks in different cloud computing nodes. Task control is autonomous and independent of user intervention and the application software of the cloud computing nodes.
[0013] Optionally, a logging unit is provided that stores system-level status and control information about the assignment and execution of computing tasks. This enables traceability and analysis of task control.