18074933. HOST/DPU SERVICE PROVISIONING SYSTEM simplified abstract (Dell Products L.P.)
Contents
- 1 HOST/DPU SERVICE PROVISIONING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 HOST/DPU SERVICE PROVISIONING SYSTEM - 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 Dynamic Resource Allocation in Computing Systems
- 1.13 Original Abstract Submitted
HOST/DPU SERVICE PROVISIONING SYSTEM
Organization Name
Inventor(s)
John Cardente of Milford MA (US)
Gaurav Chawla of Austin TX (US)
John Harwood of Boston MA (US)
HOST/DPU SERVICE PROVISIONING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18074933 titled 'HOST/DPU SERVICE PROVISIONING SYSTEM
Simplified Explanation
The patent application describes a computing system where a DPU subsystem can dynamically switch between providing a service itself and delegating the service to the host subsystem based on the operating loads of both subsystems.
- The DPU subsystem receives an instruction to provide a service.
- It assesses the operating loads of the host subsystem and itself during different time periods.
- If the DPU subsystem has a lower load during a specific time period, it configures itself to provide the service directly.
- If the host subsystem has a lower load during a subsequent time period, the DPU subsystem configures the host to take over the service and proxies service requests between the client systems and the host.
Key Features and Innovation
- Dynamic switching of service provision between DPU and host subsystem based on operating loads.
- Efficient utilization of resources by optimizing service provision.
- Seamless transition of service from DPU to host subsystem.
Potential Applications
This technology can be applied in cloud computing environments, edge computing systems, and distributed computing networks.
Problems Solved
- Efficient resource utilization in computing systems.
- Load balancing between DPU and host subsystems.
- Seamless service migration between subsystems.
Benefits
- Improved system performance.
- Enhanced resource efficiency.
- Seamless service provision for clients.
Commercial Applications
Optimizing resource allocation in cloud computing services for cost-effectiveness and performance improvements.
Prior Art
No specific information on prior art related to this technology is provided in the abstract.
Frequently Updated Research
There is ongoing research in the field of dynamic resource allocation in computing systems, which may be relevant to this technology.
Questions about Dynamic Resource Allocation in Computing Systems
How does dynamic resource allocation improve system performance?
Dynamic resource allocation ensures that computing resources are utilized efficiently, leading to improved system performance and responsiveness.
What are the key considerations when deciding whether to delegate a service to the host subsystem?
The key considerations include the operating loads of both the DPU and host subsystems, the nature of the service being provided, and the overall system performance requirements.
Original Abstract Submitted
A computing system includes a DPU subsystem coupled to a host subsystem. The DPU subsystem receives an instruction to provide a service, and determines a host operating load of the host subsystem and a DPU operating load of the DPU subsystem during subsequent time periods. Based on the host operating load and/or the DPU operating load during a first time period, the DPU subsystem configures the DPU subsystem to provide the service, and performs service requests for the service from client system(s). Based on the host operating load and/or the DPU operating load during a second time period that is subsequent to the first time period, the DPU subsystem configures the host subsystem to provide the service in order to migrate the service from the DPU subsystem to the host subsystem, and proxies service requests for the service between the client system(s) and the host subsystem providing the service.