18238345. TECHNIQUES TO SHAPE NETWORK TRAFFIC FOR SERVER-BASED COMPUTATIONAL STORAGE simplified abstract (Intel Corporation)
TECHNIQUES TO SHAPE NETWORK TRAFFIC FOR SERVER-BASED COMPUTATIONAL STORAGE
Organization Name
Inventor(s)
Michael Mesnier of Scappoose OR (US)
Anil Vasudevan of Portland OR (US)
Kelley Mullick of Hillsboro OR (US)
TECHNIQUES TO SHAPE NETWORK TRAFFIC FOR SERVER-BASED COMPUTATIONAL STORAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18238345 titled 'TECHNIQUES TO SHAPE NETWORK TRAFFIC FOR SERVER-BASED COMPUTATIONAL STORAGE
Simplified Explanation
The abstract describes techniques for shaping network traffic in server-based computational storage. Here is a simplified explanation of the abstract:
- The patent application discusses methods for managing network traffic in a computational storage server.
- It introduces the concept of a "class of service" associated with a compute offload request, which helps in organizing and prioritizing the storage of compute offload commands.
- The compute offload commands are stored in queues of a network interface device at the computational storage server.
- These queues are then used to schedule block-based compute operations for execution by the compute circuitry at the server, fulfilling the compute offload requests.
Potential Applications
This technology has potential applications in various fields, including:
- Cloud computing: It can enhance the performance and efficiency of cloud-based computational storage systems.
- Big data analytics: By optimizing network traffic and offloading compute operations, it can improve the processing speed and scalability of big data analytics platforms.
- Edge computing: The techniques can be applied to edge devices with computational storage capabilities, enabling faster and more efficient data processing at the edge.
Problems Solved
The technology addresses several problems in server-based computational storage:
- Network congestion: By shaping network traffic, it helps in managing and reducing congestion, ensuring smooth data transfer between the computational storage server and other devices.
- Compute offload management: The class of service and queue-based approach simplify the management and scheduling of compute offload requests, improving overall system performance.
- Resource utilization: By offloading compute operations to the computational storage server, it optimizes resource utilization and reduces the burden on the main server.
Benefits
The technology offers several benefits:
- Improved performance: By efficiently managing network traffic and offloading compute operations, it enhances the overall performance and responsiveness of the computational storage server.
- Scalability: The techniques can be applied to large-scale systems, allowing for seamless scalability and accommodating increasing computational demands.
- Resource optimization: By utilizing computational storage capabilities, it optimizes resource utilization and reduces the need for additional compute resources.
- Enhanced efficiency: The class of service and queue-based approach streamline the process of compute offload management, improving system efficiency and reducing latency.
Original Abstract Submitted
Examples include techniques to shape network traffic for server-based computational storage. Examples include use of a class of service associated with a compute offload request that is to be sent to a computational storage server in a compute offload command, The class of service to facilitate storage of the compute offload command in one or more queues of a network interface device at the computational storage server. The storage of the compute offload command to the one or more queues to be associated with scheduling a block-based compute operation for execution by compute circuitry at the computational storage server to fulfill the compute offload request indicated in the compute offload command.
