diff --git a/CHANGELOG.md b/CHANGELOG.md
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,4 +1,9 @@
 
+Version 0.7.4.1
+-----
+
+* Updated the estimaton of speed in the description after recent changes in the sequential module.
+
 Version 0.7.4
 -----
 
diff --git a/aivika-distributed.cabal b/aivika-distributed.cabal
--- a/aivika-distributed.cabal
+++ b/aivika-distributed.cabal
@@ -1,5 +1,5 @@
 name:            aivika-distributed
-version:         0.7.4
+version:         0.7.4.1
 synopsis:        Parallel distributed discrete event simulation module for the Aivika library
 description:
     This package extends the aivika-transformers [1] package and allows running parallel distributed simulations.
@@ -17,7 +17,7 @@
     is that this is the optimistic distributed simulation with possible rollbacks. It is assumed that optimistic methods 
     tend to better support the parallelism inherited in the models. 
     .
-    You may test the distributed simulation using your own laptop only, although the package is still destined to be 
+    You can test the distributed simulation using your own laptop only, although the package is still destined to be 
     used with a multi-core computer, or computers connected in the distributed cluster.
     .
     There are additional packages that allow you to run the distributed simulation experiments by 
@@ -26,13 +26,17 @@
     Please consult the AivikaSoft [3] website for more details.
     .
     Regarding the speed of simulation, the rough estimation is as follows. The distributed simulation module is slower up to
-    6-9 times in comparison with the sequential aivika [2] simulation library using the equivalent sequential models. 
+    15-40 times in comparison with the sequential aivika [2] simulation library using the equivalent sequential models.
+    The estimation has dramatically changed after started using another more fast pseudo-random number generator by default,
+    which made the sequential module even more fast. The lower estimation is likely to correspond to complex models. 
+    The upper estimation will probably correspond to quite simple event-oriented and process-oriented models, where 
+    the sequential module can be exceptionally fast. 
+    .
     Note that you can run up to 7 parallel logical processes on a single 8-core processor computer and run the Time Server 
     process too. On a 36-core processor, you can launch up to 35 logical processes simultaneously.
     . 
-    So, this estimation seems to be quite good. At the same time, the message passing between the logical processes can 
-    dramatically decrease the speed of distributed simulation, especially if they cause rollbacks. Thus, much depends on 
-    the distributed model itself.
+    At the same time, the message passing between the logical processes can dramatically decrease the speed of distributed 
+    simulation, especially if they cause rollbacks. Thus, much depends on the distributed model itself.
     .
     Finally, you can use the following test model [4] as an example.
     .