Use Cases


White Rabbit for Electronic Trading

Deployed by trading firms both to improve accuracy and precision within and between co-located trading locations, White Rabbit leverages the latest technology to improve electronic trading decisions, data science, back testing and real time latency monitoring.

White Rabbit for Exchanges

Deployed by exchanges initially to improve accuracy and precision to and within their matching networks.
White Rabbit also introduces significant benefits including better transparency to exchange participants, high resolution timestamping for network latency monitoring and the ability to monetize time distribution as a service to market participants.

White Rabbit for Managed Service Providers

Deployed by service providers to improve monitoring capability, including accuracy and precision within their infrastructures, White Rabbit is also being used by service providers to democratize high resolution time based services to their client communities.


Timing System based on White Rabbit and Time Sensitive Network

One of the crucial elements of any scientific installation, such as a particle accelerator, is the timing system. Timing systems are used to provide accurate timing and stable frequencies to all the elements composing the network as well as generation of discrete events and periodic signals that are shared by the different elements across the installation. 


Intra Datacenter Time Distribution

Seven Solutions delivers best-in-class synchronization for datacenters. The existing network infrastructures with time synchronization protocols like NTP and PTP is vastly improved by using the White Rabbit protocol for time dissemination. For intra-datacenter, the solution is focused on the distribution of a time reference (GNSS or UTC reference). For minimum impact in time budget, our White Rabbit devices transfer the reference time to any point, any cabinet with sub-nanosecond accuracy.

Inter Datacenter Time Distribution

Ultra-accurate time distribution (sub-second time error) over different datacenters allows to have the same time reference distributed among all devices in a designated area. A leap forward on synchronized operations and latency measurement that is having a great impact on algorithmic trading. A local reference can be distributed by using already deployed fiber of any provider. Reaching more than 100 kilometers on a single hop using dedicated fiber or by sharing fiber on a pair of dedicated wavelengths.


GNSS Backup using White Rabbit & IEEE-1588-2019

Precise time distribution is usually performed using GNSS technology due to the wide availability and easy access to well synchronized and stable satellite clocks. This enables distributed measurement systems to be tightly synchronized over large areas and allows accurate time stamps with respect to a global time reference. However, there are diverse factors or actions (accidental or malevolent) that can lead to a GNSS outage. 

Time-Sensitive Networking-Based Solution for Aerospace Micro Launchers

Time-Sensitive Networking (TSN) is a set of standards under development by the TSN task group, part of the IEEE 802.1 working group. The standards define mechanisms for the time-sensitive transmission of data over deterministic Ethernet networks. Most of the projects define extensions to the IEEE 802.1Q (bridges or bridged networks). These extensions address very low transmission latency and high availability.

White Rabbit RoE for Distributed Communication Systems

Radio-over-Ethernet (RoE) allows the distribution of data and timing over networks. It is used for distributed telescopes, radars, ultrasound sensors and distributed communication emitters/receivers (cognitive radio systems, phased arrays, etc). It improves system performance, simplifies deployment and reduces cost and cabling weight.  

Audio and RF Intermediate Frequency VITA49 Recording Software

The following case study shows an example of our expertise on the design and programming of Advanced software for military telecommunications applications following strict and reliable coding normatives according to UNE-EN-ISO-9000, UNE-EN-ISO 900, PECAL 2110, PECAL 2210 and ISO/IEC 25010:2011. This project also illustrates the utilization of organizational and quality assurance tools such
as Jira, Git/SVN, EA, Visual Studio, Unit Testing, JMeter, Selenium, Jenkins and SonarQube along the development life-cycle of the project.

Dependable Time Distribution in Naval Vessels through IEEE-1588-2019 and White Rabbit

Time is key for navy ships. It can be relevant for civil maritime applications such as rescue and mandatory for maritime critical operations such as those related with defense where it is a must offering resiliency and cybersecurity. As technology evolves, the number of such complex applications that can be found within the naval environment is increasing. Many of them (RADAR, SatCom, data sensors, etc.) have even more demanding synchronization requirements and are distributed throughout the entire surface of the ship making it more challenging to achieve the high technical specifications.


IEEE-1588-2019 & White Rabbit for the Mobile Backbone

The ITU-R defines three main application areas for the enhanced
capabilities of 5G: Enhanced Mobile Broadband, Ultra Reliable Low
Latency Communications, and Massive Machine Type Communications,
being the last two several years away in most locations, but at the
same time drivers of the most advanced 5G applications. This imposes
demanding synchronization needs for the mobile networks, making the
correct timing a critical factor for achieving the expected 5G
performance and mandatory for the future critical mission and low
latency applications.

Backbone Optimization by using the IEEE-1588-2019 and White Rabbit protocols

A telecom synchronization network would consist of three
distinct layers: the core or backbone, the aggregation level and
the access level, being the backbone the most critical part of the
topology since the rest of the network will depend on it. Due this
fact, its optimization becomes a key and crucial factor considering
the tradeoff between cost and performance.