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Diffstat (limited to 'doc/paper')
| -rw-r--r-- | doc/paper/taler.tex | 10 | 
1 files changed, 5 insertions, 5 deletions
diff --git a/doc/paper/taler.tex b/doc/paper/taler.tex index 5166efea..58573a7b 100644 --- a/doc/paper/taler.tex +++ b/doc/paper/taler.tex @@ -1450,23 +1450,23 @@ FDH operations we used~\cite{rfc5869} with SHA-512 as XTR and SHA-256  for PRF as suggested in~\cite{rfc5869}.  Using 16  concurrent clients performing withdraw, deposit and refresh operations  we then pushed the t2.micro instance to the resource limit -(Figure~\ref{fig:cpu}) +%(Figure~\ref{fig:cpu})  from a network with $\approx$ 160 ms latency to  the EC2 instance.  At that point, the instance managed about 8 HTTP  requests per second, which roughly corresponds to one full business  transaction (as a full business transaction is expected to involve  withdrawing and depositing several coins).  The network traffic was  modest at approximately 50 kbit/sec from the exchange -(Figure~\ref{fig:out}) +%(Figure~\ref{fig:out})  and 160 kbit/sec to the exchange. -(Figure~\ref{fig:in}). +%(Figure~\ref{fig:in}).  At network latencies above 10 ms, the delay  for executing a transaction is dominated by the network latency, as  local processing virtually always takes less than 10 ms.  Database transactions are dominated by writes% -(Figure~\ref{fig:read} vs.  Figure~\ref{fig:write}), as -Taler mostly needs to log +%(Figure~\ref{fig:read} vs.  Figure~\ref{fig:write}) +, as Taler mostly needs to log  transactions and occasionally needs to read to guard against  double-spending.  Given a database capacity of 2 TB---which should  suffice for more than one year of full transaction logs---the  | 
