Wow those are big #s ... very impressive! What hardware? Is this over the network or in-memory driving Siddhi? What type of events? Whats the exact query?
(I don't know anything about time series ..) Sanjiva. On Fri, Apr 11, 2014 at 5:35 AM, Seshika Fernando <[email protected]> wrote: > Hi all, > > We tested the throughput performance of $subject. The Time Series > Extension is able to process an average of *82.8 Million *data points a > second in Simple Linear Regression, while it can handle an average of *18.6 > Million *data points a second in Multiple Linear Regression. > > If we send in *n *events with *k* independent variables, the # of data > points is *n(k+1)*. > k+1 is taken considering y data stream and k number of x data streams. > > Please find attached the performance graphs. > > Best Regards, > Seshika > -- Sanjiva Weerawarana, Ph.D. Founder, Chairman & CEO; WSO2, Inc.; http://wso2.com/ email: [email protected]; office: (+1 650 745 4499 | +94 11 214 5345) x5700; cell: +94 77 787 6880 | +1 408 466 5099; voip: +1 650 265 8311 blog: http://sanjiva.weerawarana.org/; twitter: @sanjiva Lean . Enterprise . Middleware
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