The numbers are good :) Seshika and WarunaP thanks for the great work
Suho On Sat, Apr 12, 2014 at 10:01 AM, Sanjiva Weerawarana <[email protected]>wrote: > 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 > -- *S. Suhothayan* Associate Technical Lead, *WSO2 Inc. *http://wso2.com * <http://wso2.com/>* lean . enterprise . middleware *cell: (+94) 779 756 757 | blog: http://suhothayan.blogspot.com/ <http://suhothayan.blogspot.com/>twitter: http://twitter.com/suhothayan <http://twitter.com/suhothayan> | linked-in: http://lk.linkedin.com/in/suhothayan <http://lk.linkedin.com/in/suhothayan>*
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