Nokia Solutions and Networks Oy (20240220846). EDGE COMPUTING ORCHESTRATION simplified abstract
Contents
- 1 EDGE COMPUTING ORCHESTRATION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EDGE COMPUTING ORCHESTRATION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Edge Computing Orchestration
- 1.13 Original Abstract Submitted
EDGE COMPUTING ORCHESTRATION
Organization Name
Nokia Solutions and Networks Oy
Inventor(s)
[[:Category:Kimmo Kalervo H�t�nen of Espoo (FI)|Kimmo Kalervo H�t�nen of Espoo (FI)]][[Category:Kimmo Kalervo H�t�nen of Espoo (FI)]]
EDGE COMPUTING ORCHESTRATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240220846 titled 'EDGE COMPUTING ORCHESTRATION
Simplified Explanation
The patent application describes an edge computing orchestration device that manages classical and quantum edge computing resources to execute classical and quantum software tasks efficiently.
- Obtains resource data for available edge computing resources
- Obtains software to be executed on the edge computing resources
- Identifies classical and quantum tasks in the software
- Assigns tasks to be executed on the available edge computing resources
Key Features and Innovation
- Management of classical and quantum edge computing resources
- Efficient execution of classical and quantum software tasks
- Dynamic orchestration of tasks based on available resources
Potential Applications
This technology can be applied in various fields such as telecommunications, IoT, and data analytics where edge computing is utilized for processing tasks efficiently.
Problems Solved
- Efficient utilization of classical and quantum edge computing resources
- Dynamic allocation of tasks based on resource availability
- Optimization of software execution on edge computing devices
Benefits
- Improved performance of edge computing tasks
- Enhanced utilization of quantum computing resources
- Increased efficiency in executing software tasks on edge devices
Commercial Applications
The technology can be used in industries requiring real-time data processing, such as autonomous vehicles, smart cities, and industrial automation, to optimize task execution on edge computing resources.
Prior Art
Readers can explore prior research on edge computing orchestration devices and quantum computing integration in edge computing systems to understand the evolution of this technology.
Frequently Updated Research
Stay updated on advancements in edge computing orchestration, quantum computing integration, and software optimization for edge devices to leverage the latest innovations in this field.
Questions about Edge Computing Orchestration
What are the key benefits of managing classical and quantum edge computing resources efficiently?
Efficient management of classical and quantum edge computing resources ensures optimal utilization of available resources, leading to improved performance and cost-effectiveness in executing software tasks.
How does dynamic orchestration of tasks based on available resources enhance edge computing efficiency?
Dynamic task allocation based on resource availability allows for the efficient execution of software tasks on edge computing devices, maximizing the utilization of both classical and quantum resources.
Original Abstract Submitted
according to an example embodiment, an edge computing orchestration device is configured to obtain resource data indicating available edge computing resources, wherein the available edge computing resources comprises at least classical edge computing resources and quantum edge computing resources; obtain software to be executed using the edge computing resources, wherein the software comprises at least classical software and quantum software; identify classical tasks and quantum tasks in the software based on the at least classical software and quantum software; and assign the classical tasks and the quantum tasks to be executed on the available edge computing resources. devices, methods and computer programs are disclosed.
