Since I started mining ethereum, the focus of my optimizations have been on mining software and hardware tuning. While overclocking and software mining tweaks are the major factor in maximizing earnings, choosing the best mining pool can make a measurable difference as well.
I tested the top three pools with North American servers: Ethermine, Mining Pool Hub, and Nanopool. I tested mining on each pool, and wrote a small program to monitor pools. Nanopool came out on the bottom, with Ethermine and Mining Pool Hub both performing well.
I think the biggest difference between pool earnings has to do with latency. For someone in North America, using a pool in Asia with a network round-trip latency of 200-300ms will result in lower earnings than a North American pool with a network latency of 30-50ms. The reason is higher latency causes a higher stale share rate. If it takes 150ms for a share submission to reach the pool, with Ethereum's average block time of 15 seconds, the latency will add 1% to your stale share rate. How badly that affects your earnings depends on how the pool rewards stale shares, something that is unfortunately not clearly documented on any of the three pools.
When I first started mining I would do simple latency tests using ping. Following Ethermine's recent migration of their servers to AWS, they no longer respond to ping. What really matters is not ping response time, but how quickly the pool forwards new jobs and processes submitted shares. What further an evaluation of different pools, is that they often have multiple servers for one host name. For example, here are the IP address for us-east1.ethereum.miningpoolhub.com from dig:
us-east1.ethereum.miningpoolhub.com. 32 IN A 18.104.22.168
us-east1.ethereum.miningpoolhub.com. 32 IN A 22.214.171.124
us-east1.ethereum.miningpoolhub.com. 32 IN A 126.96.36.199
us-east1.ethereum.miningpoolhub.com. 32 IN A 188.8.131.52
Even though 184.108.40.206 has a ping time about 40ms lower than 220.127.116.11, the 18.104.22.168 server usually sent new jobs faster than 22.214.171.124. The difference between the first and last server to send a job was usually 200-300ms. With nanopool, the difference was much more significant, with the slowest server often sending a new job 2 seconds (2000ms) after the fastest. Recent updates posted on nanopool's site suggest their servers have been overloaded, such as changing their static difficulty from 5 billion to 10 billion. Even with miners submitting shares at half the rate, it seems they are still having issues with server loads.
Less than a week ago, us1.ethermine.org resolved to a few different IPs, and now it resolves to a single AWS IP: 126.96.36.199. I suspect there are at least two different servers using load balancing to respond to requests for the single IP. By making multiple simultaneous stratum requests and timing the new jobs received, I was able to measure variations of more than 100ms between some jobs. That seems to confirm my conclusion that there are likely multiple servers with slight variations in their performance.
In order to determine if the timing performance of the pools was actually having an impact on pool earnings, I looked at stats for blocks and uncles mined from etherscan.io.
Those stats show that although Nanopool produces about half as many blocks as Ethermine, it produces more uncles. Since uncles receive a reward of at most 2.625 ETH vs 3 ETH for a regular block, miners should receive higher payouts on Ethermine than on Nanopool. Based solely on uncle rate, payouts on Ethermine should be slightly higher than MPH. Eun, the operator of MPH has been accessible and responsive to questions and suggestions about the pool, while the Ethermine pool operator is not accessible. As an example of that accessibility, three days ago I emailed MPH about 100% rejects from one of their pool servers. Thirty-five minutes later I received a response asking me to verify that the issue was resolved after they rebooted the server.
In conclusion, either Ethermine or MPH would make reasonable choices for someone mining in North America. This pool comparison has also opened my eyes to optimization opportunities in mining software in how pools are chosen. Until now mining software has done little more than switch pools when a connection is lost or no new jobs are received for a long period of time. My intention is to have my mining software dynamically switch to mining jobs from the most responsive server instead of requiring an outright failure.