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Unveiling the Backbone: Exploring ONES Network Latency Measurement Backend


In today’s datacenter landscape, network latency holds significant importance due to its impact on the overall performance, efficiency, and reliability of datacenter operations. Here are key aspects that highlight the significance of network latency in data centers. Low network latency is crucial for ensuring optimal performance of applications hosted in data centers. Users expect fast response times when accessing services and applications, and latency directly influences the perceived responsiveness of these systems. Organizations face various challenges in measuring and optimizing network latency, as this task involves complex considerations related to infrastructure, applications, and user experience. Some common challenges include the complexity of the network infrastructure, dynamic workloads and continuous monitoring feeding to the analysis.
This blog introduces you to the backend of ONES network latency measurement component , the core engine responsible for collecting data related to network latency. This component plays a crucial role in providing insights into the performance of a network, helping organizations monitor and optimize their infrastructure. It supports various network protocols, including ICMP (Internet Control Message Protocol), and TCP (Transmission Control Protocol), depending on the need.

Let’s explore the key aspects and functionalities of the backend.

Core Features

The NWSLA measurement component provides an agent that runs in the SONiC switches as well as servers. This agent exposes an API to the ONES collector eco-system and allows for triggering the latency measurements. Latency to a Destination IP can be measured using either ICMP or TCP. The calculation involves the following parameters
The above diagram explains the same. ONES Collectors controls & facilitates the probes, allowing latency measurements to be performed by the whole ecosystem of endpoints. One of the important features of this agent is its ability to allow the calculations to be calculated periodically. For instance an operator wishes to calculate the latency between point A to point B every 5 minutes. This aids the operator in the following cases

To cater to such requirements, ONES allows the operator to schedule the calculation of the latency periodically over specified time intervals. This allows the operators to understand the performance of the networks proactively.

NanoSecond Level Precision

One of the unique features of the ONES infrastructure that calculates this latency is its ability to calculate the latency in terms of nanoseconds. Calculating the latency in terms of nanoseconds offers some unique advantages, in scenarios where extremely precise and rapid measurements are essential perfect for the datacenter networks. It allows
In summary, calculating latency in nanoseconds offers advantages in situations where speed, precision, and real-time responsiveness are paramount.

Decoding Nanosecond Latency Calculation

Precision in nanosecond latency calculation is a sophisticated endeavor. ONES adopts an innovative approach by modeling the network analogous to an optical channel, ensuring a high degree of precision in latency calculation. The methodology involves sending bursts of packets and deriving latency measurements seamlessly, deviating from the conventional approach of correlating request and response times. This eliminates the need to calculate latency per request before initiating subsequent probes. The flexibility of ONES allows for the configuration of parameters to align with specific network requirements.

Scalability & Robustness

The ONES ecosystem excels in delivering exceptional scalability and robustness. The philosophy of ONES is seamlessly reflected in the design of its latency measurement, ensuring scalability and robustness are prioritized. This commitment is affirmed through various validations, including measuring latency under load, the seamless addition of new nodes for calculations, the capacity to handle and sustain a significant number of probes by the agent, built-in fault tolerance features, optimized resource utilization, and consistent operational and longevity behavior.

Use-Cases: Ping-pong Mesh

One of the simple use-case scenarios will be to trigger the measurement across the endpoints of the network. This initiates the latency test from the end points attached to the network ensuring that the packets used to measure latency traverse the network to reach the other endpoint. This will be calculated proactively at a set defined interval allowing to check on the latency periodically. Identifying latency bottlenecks helps optimize resource allocation and maintain high-quality services
Under such use-cases, the measurement of latency plays a vital role in optimizing overall network performance. Low-latency communication directly enhances user experience, aids in capacity planning, facilitates proactive issue resolution, and furnishes valuable data for making informed decisions about network infrastructure.These scenarios can be expanded, including the exploration of latency between the most distant leaf nodes, and so on.

ONES Network SLA - Future Looking

Subsequent releases of ONES provide robust support with advanced features built upon this foundational base. Initially, integration with the ONES UI will be seamless, offering comprehensive cloud integration support. Additionally, support for path tracing and availability metrics will be extended across the system.

In conclusion, the backbone of a network latency measurement tool functions as the core engine responsible for gathering, processing, and evaluating data to gauge the vitality and efficiency of a network. It stands as a pivotal element for organizations aiming to sustain ideal network latency, guaranteeing a smooth and responsive user experience.

Have comments or feedback? Please feel free to get in touch with us
For experiencing SONiC, Please try ONES Center  https://www.aviznetworks.com/one-center
For detailed case study of SONiC, please refer here

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Unveiling the Backbone: Exploring ONES Network Latency Measurement Backend

Explore the nuances of ONES latency measurement, serving as the bedrock of accuracy and effectiveness in network latency calculations. The backend, with its thorough data collection, processing, and analysis, guarantees a holistic grasp of the network's well-being and performance. As this blog navigates the intricacies of ONES's latency measurement, uncover the synergistic partnership of ONES and SONiC in the realm of open networking.