How do investment firms continue to reduce latency when the data volumes and velocity of trading keep increasing?
Sybase: One obvious method is to eliminate the hops that data has to go through as it moves from source to the consuming application. This means reducing reads/writes to different memory spaces and preferably eliminating the device input/output along the data flow. Another option is to make the data “queryable” and accessible while it is still “flowing.” This is where the data streaming or complex event processing (CEP) technology comes in. Also, applications that can present data in subsets to applications based on events help reduce latency significantly. Event-driven architectures include data stores for huge quantities of historical market data as well as CEP engines. How are customers using low-latency tools and historical market data to gain a competitive edge? Sybase: The CEP engines help reduce latency and make data usable much earlier than messaging systems do. Using a CEP engine as a rapid transport mechanism along with a very large database (VLDB) with tight integration actu
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