Thu, 25/06/2009 - 15:10
NYSE Technologies, the commercial technology unit of NYSE Euronext, launched its next generation market data infrastructure, Market Data Platform V5.
The platform aims to deliver extremely high throughput and low latency market data delivery, providing value for co-location solutions, high frequency trading and enterprise ticker plant deployments.
It is built on NYSE Technologies' Data Fabric middleware, a technology that drives ultra-low latency infrastructure.
'NYSE Technologies' Market Data Platform V5 is game-changing. It represents a quantum leap forward in nearly every aspect of market data distribution,' says Stanley Young, chief executive of NYSE Technologies and co-global chief investment officer of NYSE Euronext. 'Through this accelerated new system we offer microsecond message processing at peak rates and single-server application, enabling our clients to benefit from a significant reduction in hardware investment and operation costs. When multiplied across high-availability and disaster recovery sites, the cost savings can be exponential. We are very excited to demonstrate the astonishing potential of this integrated platform to our customers, particularly in tandem with the complete NYSE Technologies market data product suite.'
The platform offers continuous throughput of 500,000 messages per second on a single CPU core, with a mean latency of less than 40 microseconds over remote direct memory access and an ultra-low latency range of ten to 20 microseconds over local direct memory access.
It supports a wide range of integration options (including LDMA, RDMA, TCP) and is vendor neutral allowing deployment on any hardware platform that supports Linux. It can run on existing or new hardware and it can interoperate with legacy infrastructure.
The platform supports all high-volume US markets and is currently being rolled out to other latency-sensitive markets in the US and Europe.
Thu 01/12/2016 - 07:07
Wed 30/11/2016 - 07:51
Tue 29/11/2016 - 13:56
Mon 28/11/2016 - 10:10
Thu 01/12/2016 - 14:17
Thu 01/12/2016 - 10:05
Thu 01/12/2016 - 10:01
Fri, 02/Dec/2016 - 12:30
Fri, 02/Dec/2016 - 12:21
Fri, 02/Dec/2016 - 10:12
Fri, 02/Dec/2016 - 09:30
Fri, 02/Dec/2016 - 08:47
Fri, 02/Dec/2016 - 08:43