Proof of stability under load

We need to prove that it will be stable under conditions similar to production use.

Acceptance Criteria
Perform a test of an Indy network that has the following attributes:

• The ledger is pre-loaded with 1 million transactions
• Pool size is 25 nodes.
• 1K concurrent clients
• Over a 3 hour period induce a sustained throughput of 10 write transactions per second and 100 read transactions per second on average (from clients)
  Write load is a mixture of:
  • writing credentials schema (5%),
  • writing credential definition (5%)
  • revoke registry definition (5%)
  • revoke registry update (5%)
  • write DID to ledger (20%)
  • write payment to ledger (45%)
  • write attrib to ledger (15%)
    Read load is a mixture of:
  • read DID from ledger (45%)
  • read credential schema (10%)
  • read credential definition (10%)
  • read revoke registry definition (10%)
  • read revoke registry delta (10%)
  • read attrib from ledger (10%)
  • read payment balance from ledger (5%)
• Write response time should be less that 5 seconds (would also like a report of the average).
• Read response time should be less than 1 second (would also like a report of the average).
• Unless view change in progress, pool should write 10 txns/sec and read 100 txns/sec

Main cases for research:
1) mixed set (imitation of active production work) - 1000 clients / 10 writes / 100 reads
2) payments only (understanding of pluggable ledgers productivity) - 1000 clients / as much as possible writes (1 - 4 - 10) / as much as possible reads (up to 10 - 40 - 100)
3) not payment transactions (comparision with historical productivity data) - 1000 clients / 10 writes / 100 reads