|Mkt.Cap||$ 0.00000000||Volume 24H||0.00000000 SSS|
|Market share||0%||Total Supply||10 B SSS|
|Proof type||PoW||Open||$ 0.0006|
|Low||$ 0.0006||High||$ 0.0006|
Slow Fashion Season 2019 Details
This is normal and doesn't reduce your payments. It's also normal to see longpoll messages once per every ten seconds on average.
The website provides a list of cryptocurrency and bloclchain related events, valid and authentic list of cryptocurrency wallets and Bitcoin mining pools. We also provide rich advertisement campaings to advertise your bussiness on this website. P2Pool uses higher difficulty shares than most centralized pools, so you'll see fewer shares reported.
When a node is running it locks the database to protect the integrity of the data. Every time a new entry is added to the database the previous data is invalidated and the new updated state has to be changed. The only way this could work is if the database was accessed as read only and not being changed.
In the event that a share qualifies as a block, this generation transaction is exposed to the Bitcoin network and takes effect, transferring each node its payout. If you control and share data between multiple nodes, it won't be more useful than having multiple endpoint for the node's and smart contract API. it will only relieve your node from RPC requests charge, nothing more.
Sharechain BTC Price 0.00000001
This can turn 1000 ms latency into 3000 ms latency. Once I get caught up with getting my p2pool code to support all forks and altcoins, I'll work on cutting down CPU, RAM, and bandwidth requirements for running a node.
I understand that using shared data would mean the nodes aren't really checking each other, but that doesn't concern me because I control and trust all of them. To be clear, I will not control every node on the network, but I would like for the ones I do control to share the data set if possible. This probably suggests that it's not an existing feature, but I am still interested in how I might be able to make this work for my use case, even if it requires software modification.
However, because the payout is PPLNS only your stale rate relative to other nodes is relevant; the absolute rate is not. P2Pool shares form a "sharechain" with each share referencing the previous share's hash. P2Pool nodes work on a chain of shares similar to Bitcoin's blockchain.
Sharechain price chart
Through the technology and concept of block chain, Bingo Coin creates a more efficient, transparent, reliable, consumer, investment, and other diversified global eccentralization forecast application platform. There is currently no description for Sharechain. We will do our best to add the description as soon as possible.
The Pay-per-Share (PPS) approach offers an instant, guaranteed payout to a miner for his contribution to the probability that the pool finds a block. Miners are paid out from the pool's existing balance and can withdraw their payout immediately. This model allows for the least possible variance in payment for miners while also transferring much of the risk to the pool's operator. Sharechain reached its highest price on 7 January, 2018, when it was trading at its all-time high of $ 0.021590. The ShareChain Team aims to build a decentralized credit data value platform based on shared economy.
I'm not sure if btc1 changed its defaults, but on Bitcoin Core the default blockmaxsize and blockmaxweight values are 750 kB and 3 MB respectively, meaning that if you left your bitcoind to its defaults, your P2Pool node would be mining artificially smaller blocks. The high difficulty, on the other hand, is normal for p2pool, and not responsible for your high DOA rates.
You could also reduce variance by reducing the share interval, but its already 30 seconds and reducing it further would increase stales more I suppose. The coinbase transaction size is not currently a significant problem for p2pool, as it only takes up a few kB once every few weeks. For p2pool specifically, or for pools in general?
That it negatively affects small miner's variance. The coinbase transaction would not change much in size for typical p2pool use because it almost always contains at least one share per active p2pool user anyway. A single ASIC miner is generally able to mine more than one share per 3 days (the current PPLNS length target). I would like to strip all transaction data out of the share data structure in the share chain in order to cut this memory footprint issue and reduce the CPU requirements for processing shares, but until that is done, increasing the share chain length is a bad idea. There are also some minor CPU usage costs on sharechain size when processing shares (e.g. calculating payouts for the coinbase), but they're mostly alleviated by using a skiplist in the work-done-by-user calculations.
Instead, I will be trying to keep a penalty score for each share, where each share's penalty is the previous share's penalty plus 0 if the parentblock is found in the blockchain else the work done if the parentblock is not in the blockchain (i.e. orphan or invalid). P2pool will then look for the share with the greatest (work - penalty). That description is slightly oversimplified, but I hope it gets the main idea across.
- Because of the importance of strengthening Bitcoin's decentralization, some Bitcoin supporters donate to P2Pool miners, resulting in average returns above 100% of the expected reward.
- I haven't installed Pypy on Windows before, but I expect you'll need to reinstall twisted, zope.interface, and whatever other things you had to install with Python 2.7.
- Today Sharechain price in US dollars is currently 0.0000 USD, and if converted to Bitcoin is 0.
- You can replace "" with "accountname" if you want to pay from some specific bitcoind account, and you need to replace 127.0.0.1 with the address of your P2Pool node if you're not running one locally.
- A total of 20 coin's are currently circulating in the Market.
- You have now fragmented the trie into two different tries.
On P2Pool stales refer to shares which can't make it into the sharechain. Because the sharechain is 20 times faster than the Bitcoin chain many stales are common and expected.
On my nodes, that's normally around 50 ms to 150 ms on pypy, and 250 ms to 1000 ms on Python. With an average of 30 seconds per share, latency of 1000 ms corresponds to a 3.3% DOA rate.
Also, I highly recommend connecting your bitcoind to the public FIBRE network. This helps your bitcoind to be notified of new blocks as quickly as possible. And if your P2Pool node finds a new block, this helps propagate the newfound block to the Bitcoin network as quickly as possible, reducing the chances of that newfound block being orphaned. Keep in mind that utilization is a misleading metric. What really matters is latency -- that is, how long, in milliseconds, it takes p2pool to process an incoming share and hand out new work to workers.
Each share references each transaction in the block that that share would have made, using somewhere between 2 bytes (in my lowmem branch for transactions that have been included in previous shares) and 70-ish bytes (for new transactions, including Python's object overhead). With roughly 2000 transactions per share, that turns into about 10 kB (lowmem) to 50 kB (p2pool master) per share, or 160 MB (lowmem) to 800 MB (master) of memory consumption. Multiply those numbers by something like 4 if you're using pypy. This enables your P2Pool node to mine full blocks.
Supporting Bitcoin Cash is likely to require some p2pool performance improvements as well, as the current codebase struggles with 1MB blocks, much less 8MB. I hope to have Bitcoin Cash working by the end of the weekend as long as you have a high-end server. I'll try to get the needed performance improvements afterwards. The complexity of the network BCH falls, the price increases.
Hosting bitcoin miners for $65 to $80/kW/month on clean, cheap hydro power. But the main source of variance is block variance from p2pool's low hashrate. The two main reasons for p2pool's low hashrate are the fairness problems and the (related) performance problems. We lost 10 PH/s from whortonda a couple months back because he was getting high DOA rates and earning about 3% less than most others on the pool. I'm thinking of ways to reduce variance of p2pool.
This report should be leaned to get most info about heading trends. It means that Sharechain price can be leaded by other, more mighty cryptocurrency, or maybe some market trend have affect on it. In order to have two different chains with romane and rubens, you'd need to create two duplicate databases, one with a root node of rom and the other with rub. You have now fragmented the trie into two different tries. Then you can have a node working with all requests starting with rom and one with rub.
Allow mining with clients that do not support all locked-in or active forks (e.g. Bitcoin Core which does not support segwit2x) if p2pool is run with the --allow-obsolete-bitcoind command-line option. Is there somewhere to check whether larger miners are setting their share difficulty too high?
Fun Share Chain
SSS is an Ethereum ERC20 Compliant tokens called (Super Smart Share referred to as "SSS") which will be used within the platform. Today Sharechain price in US dollars is currently 0.0000 USD, and if converted to Bitcoin is 0.
Pypy's CPU usage is about 3x lower than Python 2.7's, although its memory consumption is about 3x higher. I haven't installed Pypy on Windows before, but I expect you'll need to reinstall twisted, zope.interface, and whatever other things you had to install with Python 2.7.
I suspect your CPU is not fast enough to keep up with the task. You may want to try switching to pypy instead of using Python 2.7.
I would like to know if it is at all possible to have multiple geth processes share the same chain data. You have 2 physical cores, 4 logical cores on your CPU. P2pool is single-threaded, so it can use at most 25% of your CPU (in terms of logical cores). Your CPU is pegged at a little over 25% for the Pythonw (p2pool) process. Xantus, I see a very high DOA rate on your node, roughly 50%.