Intelligent information dissemination

Abstract

The invention is suitable for any kind of distributed networks having different data rates on different connections and a centralized computer system wherein the data to distribute is created. The central system comprises one or more supersets of data that is to be distributed to client computers by extracting subsets of data from the superset / s of data. Thereafter the subsets of data are distributed to selected groups of clients based on information about the network architecture. In this way an efficient way of distributing data is executed and no duplicated data is distributed. Preferably the subsets are distributed to clients based on a counter performance or a data rate of a client's connection to the central computer system.

Description

FIELD OF THE INVENTION[0001]The present invention relates to distribution of data in computer systems. In particular it relates to information dissemination in high performance trading systems.BACKGROUND OF THE INVENTION[0002]Today it is very common that information is sent over computer networks. The amount of information being sent is rapidly increasing due to the advances in technology, making it possible to send and handle more information at higher speed compared to before. Furthermore, new applications demands a higher amount of information compared to before. Even further, the importance of information has open up a new field of business wherein information is sold.[0003]An example of computer systems wherein information dissemination is one of the most essential parts are electronic trading systems.[0004]Electronic trading of securities, derivatives, commodities and other financial instruments results in large amount of information which has to be distributed to users that n...

AI Technical Summary

Benefits of technology

[0015]It is another object of the present invention to provide a solution for sending out data without the need of duplicating the data.

[0107]The above client computer has the advantage that it provides a solution that makes it possible to process data received from a computer system in a more efficient way. Since the sorted data elements in the memory needs to be updated at certain time intervals so that a user of the computer can see what is happening at a central computer system such as in an order book, the client computer comprises a message handler that treats the data elements based on the information received in the update message. Thus if the client computer receives an update message comprising delta changes it adds the delta changes to the data elements stored in the memory. If the client computer receives an update message comprising data elements it may replace the obsolete data elements in the memory in order to provide an accurate and correct data to a user of the client computer.

Problems solved by technology

In these cases it may not be enough to only boost the performance in the central system by for example updating the hardware, in order to get rid of a bottleneck or other latency problem in the system.

Usually these bottlenecks end up at the user side anyway, since the users may have limited possibilities to update their connection to the central system.

However, this type of filtering is often much to rough since a user / client is most likely interested in other data streams too.

Thus the above described system has drawbacks, especially in environments having limited bandwidth connection, since it splitts the information based on the type of electronic information.

Hence the above system is useless in networks where the data rates of the connections for users is limited and varies between different users.

However, the problem for these solutions is that they require the system to generate and send duplicated information.

This will result in extra load on both the central systems performance and the traffic on the central and peripheral network.

Another problem with electronic information systems is that usually there is a central processor / s that aggregates the information and distributes it.

Since the processor has to use time on aggregating and spreading duplicated information there will be less time for other tasks such as receiving information and thus bottlenecks may occur in other parts of the system.

Another problem with the prior art systems is that they do not consider counter performances provided by customers when distributing data.

Thus some customers may expericence an unfair treatment.

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