About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Beware Latency Monitoring on the Cheap

Subscribe to our newsletter

Interesting to read a couple of reports of late regarding a “breakthrough” in the world of network latency monitoring – apparently boffins at a couple of universities have come up with an inexpensive way to measure network delays at the tens of microsecond level – and they reckon that Wall Street is going to be very interested in what they’re up to. I guess I am always a bit wary of doing things on the cheap … you get what you pay for, as the saying goes.

The Lossy Difference Aggregator, or LDA, is the subject of work carried out at the University of California, San Diego and Purdue University in Indiana, and proposes adding functionality to network routers to provide a “good estimate” by sampling arrival and departure times of packets flowing through a router. For you geeks, some more detail is here.

I started wondering whether this approach was likely to one day impact the business of those vendors pushing passive approaches to latency monitoring to the financial markets – companies like Correlix, Corvil, Trading Systems Associates and Endace (though the latter appears to have re-focused away to other verticals). And while I think this research has merit, I don’t think LDA is ready for Wall Street. Because while it’s good, it’s not quite good enough.

For one thing, current passive approaches – and yes they cost a bit – can analyse delays in the nanosecond range – tens to hundreds, depending on what’s being measured. And another factor, pointed out by TS-A’s Henry Young, is that LDA just measures network delays at the Data Link Layer (Layer 2), and so does not not take into account reliable messaging protocols that fall into the Transport Layer (Layer 4) or latencies that occur higher in the ‘stack’ – which for trading applications is probably where most latency (and related jitter) occurs.

I can see LDA being useful for some general purpose router diagnostic, and Cisco Systems, which provided a grant to part fund this research, might look to do that one day. But methinks they won’t be pushing this for more serious latency monitoring. For that, they’re more likely to recommend Corvil, in which they have an equity stake.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

LSEG Collaborates with AWS to Support Real-Time Data Infrastructure

London Stock Exchange Group has announced a collaboration with Amazon Web Services aimed at modernising the infrastructure underpinning its real-time market data services, as part of a broader cloud transformation strategy. Under the collaboration, LSEG will leverage AWS services to support the collection, routing, and distribution of its Full Tick and Real-Time Optimized data, while...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...