sure , as Rudraneel said 1. How many topologies? >> one 2. What are the workload parameters (e.g. tuple arrival rate, number of executors per component, size of each tuple) >> 3. System environment ( Number of cores in each supervisor node, Available RAM) >> I have numbis working on 8 GB RAM but supervisor has 4 GB 4. What is the nature of the algorithm? Is it CPU intensive? >> Algorithm usage is to improve result of finding simialrity between texts . How can i know if there is CPU intensive or not ?
Next determine the performance metric. Usually, for storm it can be average tuple processing latency/ throughput etc. >> How can i calculate it ? Sorry but what do you mean by high throughput ? On Thu, Nov 17, 2016 at 8:22 AM, Manu Zhang <[email protected]> wrote: > Hi Sam, > > Could you share you topology ? More background information will help us to > understand your problem. > And what kind of performance do you want to achieve, low latency or high > throughput ? > > Cheers, > Manu Zhang > > On Thu, Nov 17, 2016 at 5:34 AM sam mohel <[email protected]> wrote: > >> Please .Is there any help ? >> >> On Wednesday, November 16, 2016, sam mohel <[email protected]> wrote: >> >> > How can algoritm like" text similarity between tweets" affect on the >> > performance of storm topology ? >> >
