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paoloardoino's profile
Paolo Ardoino
Paolo Ardoino
Paolo Ardoino
Verified account
@paoloardoino

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Paolo ArdoinoVerified account

@paoloardoino

CTO @bitfinex + CTO @tether_to [Views are my own]

London
github.com/prdn
Joined January 2010

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    1. Paolo Ardoino‏Verified account @paoloardoino 15 Mar 2020

      Paolo Ardoino Retweeted Paolo Ardoino

      1/7 Problem: How to scale trading/liquidation engines up to 500k/1M/10M users? 100k users are manageable, but eventually single threaded architecture will bottleneck growing number of users.https://twitter.com/paoloardoino/status/1238965074427088903 …

      Paolo Ardoino added,

      Paolo ArdoinoVerified account @paoloardoino
      Sharding users among multiple threads in the matching engine allows running concurrent liquidation engines, one per shard. Can't scale unless you go parallel. #bitfinex
      11 replies 14 retweets 90 likes
      Show this thread
    2. Paolo Ardoino‏Verified account @paoloardoino 15 Mar 2020

      2/7 * The order book (OB) for each pair is run on a single thread, with its own I/O queues. * User data UD is deterministically sharded among different threads * Liquidation engine (LE) is a set of threads with direct mem access to user data threads (positions, balances, ..)

      1 reply 0 retweets 6 likes
      Show this thread
    3. Paolo Ardoino‏Verified account @paoloardoino 15 Mar 2020

      3/7 * LE interacts with OB via in-mem priority queue. * LE adds to a liquidation-order (LEO) enough meta-info for the order book thread to evaluate if liquidation should still happen, bankruptcy price, ...

      1 reply 0 retweets 4 likes
      Show this thread
    4. Paolo Ardoino‏Verified account @paoloardoino 15 Mar 2020

      4/7 * Each LE sorts users by risk (probability of getting liquidated). * Improvement: a single shared sorted map can be generated across the threads

      5 replies 0 retweets 5 likes
      Show this thread
    5. marketcap.one‏ @marketcapone 15 Mar 2020
      Replying to @paoloardoino

      so a hack to get faster order processing is to have a high chance of being liquidated

      1 reply 0 retweets 0 likes
    6. Paolo Ardoino‏Verified account @paoloardoino 15 Mar 2020
      Replying to @marketcapone

      Why? Not sure from where you deducted that. Users get liquidated only when they should. The system is just more scalable.

      1 reply 0 retweets 0 likes
    7. marketcap.one‏ @marketcapone 15 Mar 2020
      Replying to @paoloardoino

      "Each LE sorts users by risk (probability of getting liquidated)." I interpreted 'sorts' to mean 'decides which orders to process first' - if that's accurate then one could ensure their orders are processed fast by engineering a high probability of being liquidated.

      1 reply 0 retweets 0 likes
      Paolo Ardoino‏Verified account @paoloardoino 15 Mar 2020
      Replying to @marketcapone

      LE and normal order insertion use 2 different queues. LE has a priority queue, to not use the same one of general order insertion.

      3:44 AM - 15 Mar 2020
      • 1 Like
      • marketcap.one
      0 replies 0 retweets 1 like

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