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Home » News Room » (24.AUG.2012) B2N – Publish latency results for live implementation fully based on NanoFibre API

(24.AUG.2012) B2N – Publish latency results for live implementation fully based on NanoFibre API

London, UK and Cambridge, MA, Aug, 24, 2012 - B2N today announced the final latency results in the real world implantation of NanoFibre API solution.


"The biggest challenge that we faced in this implementation was the complexity of the multi-vendor and direct feed’s blending and the need to have every single module revamped to employ the NanoFibre APIprincipals.” - commented Vasko Tomanov 

 

The best latency result using classical market data API (MD2) that B2N have been able to achieve before NanoFibre era were in the range of 5-10 microsecond with total processing time around 11 microseconds. Comparing to this the NanoFibre principles have managed to boost the latency results almost ten times with final numbers 400-500 nanoseconds with total processing time 1000-1300 nanoseconds (1-1.3 microseconds).

 

London, UK, Cambridge, MA, and HK China, Nov 28th, 2011 – B2N Ltd. is delighted to announce a new Hi-Performance contribute/consume API for Python developers.  It is designed to make the life easier of customers dedicated to risk management and calculations using Python to accesses multiple sources of market data.
 
Python customers will be able with ease finally to subscribe and capture data, using it as source to their calculation engines and generate output back to the data platforms.
 
The new addition to already existing Java, C++, .Net, VB and COM API’s is part of the C++ version and as such inherit its extreme performance and portability across multiple platforms – Windows, Linux,  Solaris, 32bit and 64bit
 
Using the new API customers will be able to access data from MarketHub platform as well as third party ones (e.g. RMDS) and in the same time using the built-in transports ( B2N ZERRO, B2N TCP, B2N RawCast, B2N HTTP) or eternal ones as TIBCO, LBM, LLM  combining data from different direct or consolidated sources.     
 

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