throughput

问题 we need to setup 4 EventHub and 3 Azure Functions. So what is the best way to have high throughput and Scalable parameters that we can set to have a system that can handle 75k message/sec? Local.settings.json hosts.json prefetch Count max batch side 回答1: This article is definitely worth a read and is something I based some of my work on, I needed to achieve 50k p/sec. https://azure.microsoft.com/en-gb/blog/processing-100-000-events-per-second-on-azure-functions/ An important consideration is

问题 In my Android app I use Amazon DynamoDB. I created 10 tables with Read capacity 10 and Write capacity 5. Today I received an email from Amazon. It costs me 11.36$. I don't understand the meaning of free tier. Here is what I read from Amazon: DynamoDB customers get 25 GB of free storage, as well as up to 25 write capacity units and 25 read capacity units of ongoing throughput capacity (enough throughput to handle up to 200 million requests per month) and 2.5 million read requests from DynamoDB

问题 In my Android app I use Amazon DynamoDB. I created 10 tables with Read capacity 10 and Write capacity 5. Today I received an email from Amazon. It costs me 11.36$. I don't understand the meaning of free tier. Here is what I read from Amazon: DynamoDB customers get 25 GB of free storage, as well as up to 25 write capacity units and 25 read capacity units of ongoing throughput capacity (enough throughput to handle up to 200 million requests per month) and 2.5 million read requests from DynamoDB

问题 In my Android app I use Amazon DynamoDB. I created 10 tables with Read capacity 10 and Write capacity 5. Today I received an email from Amazon. It costs me 11.36$. I don't understand the meaning of free tier. Here is what I read from Amazon: DynamoDB customers get 25 GB of free storage, as well as up to 25 write capacity units and 25 read capacity units of ongoing throughput capacity (enough throughput to handle up to 200 million requests per month) and 2.5 million read requests from DynamoDB

问题 I am using RestSharp as the underlying HTTP client library to make a stress/throughput test client on a black box service. Threadpool and Servicepoint connection limits have been lifted to 5000, but that shouldn't be much of a worry as we are testing around 500-1000 requests per second. A high-resolution (microsecond) timer component is used to throw out requests at the rate we want to test. The RestSharp code roughly goes restClient.ExecuteAsync(postRequest, res => { stopwatch.Stop(); lock

问题 I have a client/server topology in NS3 and I want to calculate the throughput of UDP traffic on the server. This line of code sink = StaticCast<PacketSink> (tcpServerApp.Get (0)); does not work because it can only be used in calculating the throughput of TCP packets. How can I calculate throughput for the received UDP traffic on the server? Thanks 回答1: You can calculate the throughput of UDP packets using the following code. You should use this code after Simulation::Run(); uint64_t rxBytes =

问题 I wrote the server that accepts connection and bombards messages ( ~100 bytes ) using text protocol and my implementation is able to send about loopback 400K/sec messages with the 3rt party client. I picked Netty for this task, SUSE 11 RealTime, JRockit RTS. But when I started developing my own client based on Netty I faced drastic throughput reduction ( down from 400K to 1.3K msg/sec ). The code of the client is pretty straightforward. Could you, please, give an advice or show examples how

问题 I'm benchmarking ElasticSearch for very high indexing throughput purposes. My current goal is to be able to index 3 billion (3,000,000,000) documents in a matter of hours. For that purpose, I currently have 3 windows server machines, with 16GB RAM and 8 processors each. The documents being inserted have a very simple mapping, containing only a handful of numerical non analyzed fields ( _all is disabled). I am able to reach roughly 120,000 index requests per second (monitoring using big desk),

问题 I set up a Cassandra cluster on AWS. What I want to get is increased I/O throughput (number of reads/writes per second) as more nodes are added (as advertised). However, I got exactly the opposite. The performance is reduced as new nodes are added. Do you know any typical issues that prevents it from scaling? Here is some details: I am adding a text file (15MB) to the column family. Each line is a record. There are 150000 records. When there is 1 node, it takes about 90 seconds to write. But

问题 There's something which I cant understand about AWS DynamoDb throughput. Lets consider strongly consistent reads. Now, I understand that in this case, 1 unit of capacity would mean I can read up to 4KB of per second. It's the "per second" bit that slightly confuses me. If you know exactly how quickly you want to read data then you can set the units appropriately. But what if you're not too fussy about the read time? Say I do have only 1 read unit assigned to my table and I try to read an item