Edge Sensor RDMA Testing for Scalable Remote Data Centers
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Solution Overview
Problem
Conventional test and measurement (T&M) instruments face challenges with interoperability, scalability, and data management due to proprietary protocols and vendor-specific designs, making it difficult to meet high-performance data transfer and integration with diverse systems, and limiting data monetization and disaggregation.
Innovation Solution
A system utilizing edge sensors with intelligent network interface cards and remote data centers for high-speed data transfer via RDMA, enabling scalable and efficient data processing and storage, allowing for disaggregated testing solutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If proprietary interconnects with unique electrical signaling and communications protocols are used in T&M instruments, then low latency and high bandwidth are achieved, but interoperability and backward compatibility become difficult or impossible
Solution Approach 1:
The system segments T&M instrument functionality into modular components that can be independently selected and configured. Each module uses standardized interfaces (PCIe, USB 3.0, Ethernet) while maintaining proprietary high-performance internal interconnects where needed, allowing interoperability through standard interfaces while preserving high-speed capabilities within modules.
Solution Approach 2:
The system employs universal standardized interfaces (PCIe, USB 3.0, Ethernet, DMA) that can handle multiple functions including high-speed data transfer, control signaling, and device communication. This multi-functional approach allows a single interface to serve both interoperability requirements and high-performance data transfer needs.
2Speed
If DMA technology is deployed non-uniformly without an overarching framework, then low latency and high bandwidth communications are enabled, but interoperability between systems is prevented
Solution Approach 1:
The system implements DMA capability across multiple interface types (PCIe, USB 3.0, Ethernet) creating a universal direct memory access framework. This allows high-bandwidth, low-latency communication between any T&M instrument and the host system regardless of the specific interface used, enabling interoperability while maintaining high performance.
Solution Approach 2:
The host system acts as an intermediary that manages DMA operations across multiple devices and interfaces. It coordinates memory buffers and data flow between different T&M instruments using diverse interfaces, enabling high-speed communication while maintaining system-wide interoperability through centralized DMA management.
3Reliability
If conventional fragmented approaches to interconnectivity are used, then specific test and measurement goals are met, but scalability and efficiency are limited
Solution Approach 1:
The system divides the T&M instrument into separable functional modules (signal sources, analyzers, data acquisition) that can be independently selected, configured, and upgraded. Each module connects through standardized interfaces, allowing the system to scale by adding or removing modules without redesigning the entire system.
Solution Approach 2:
The system employs dynamic configuration capabilities where T&M instruments can adapt their interface and communication mode based on the specific test requirements. The system can dynamically switch between different protocols and data transfer modes (DMA, memory-mapped I/O, interrupt-driven) to optimize performance for each specific measurement task.
4Speed
If vendor-specific P2P protocols are implemented, then data transfer between PCIe devices is enabled, but multi-vendor heterogeneous device integration is thwarted
Solution Approach 1:
The system implements universal PCIe interfaces with standardized P2P DMA capabilities that work across multi-vendor heterogeneous devices. By adhering to the standard PCIe specification rather than vendor-specific extensions, the system enables high-speed direct device-to-device data transfer while maintaining compatibility with devices from different manufacturers.
Data Source
AI summary
A system is proved for performing testing of devices under test (DUTs). The system includes edge sensors configured to collect measurement data from and to provide stimulus data to the DUTs for performing testing of the DUTs, where each edge sensor includes a data transducer and an intelligent network interface card configured to manage a transfer of the measurement data via a high-speed data network using remote direct memory access (RDMA); and a remote data center remote from the edge sensors, where the remote data center is scalable with respect to the number of edge sensors, and is configured to communicate with the edge sensors over the high-speed data network, where communicating with the edge sensors includes at least sending control signals for controlling the testing, receiving the measurement data, and/or sending the stimulus data.