Can someone check with me this ? On Thursday, November 17, 2016, sam mohel <[email protected]> wrote:
> 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] > <javascript:_e(%7B%7D,'cvml','[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] >> <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote: >> >>> Please .Is there any help ? >>> >>> On Wednesday, November 16, 2016, sam mohel <[email protected] >>> <javascript:_e(%7B%7D,'cvml','[email protected]');>> wrote: >>> >>> > How can algoritm like" text similarity between tweets" affect on the >>> > performance of storm topology ? >>> >> >
