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[GNUnet-SVN] [gnunet] branch master updated: RPS doc: Specify "reliable"


From: gnunet
Subject: [GNUnet-SVN] [gnunet] branch master updated: RPS doc: Specify "reliable", reformat link
Date: Mon, 22 Jul 2019 22:22:50 +0200

This is an automated email from the git hooks/post-receive script.

julius-buenger pushed a commit to branch master
in repository gnunet.

The following commit(s) were added to refs/heads/master by this push:
     new 15f7a3440 RPS doc: Specify "reliable", reformat link
15f7a3440 is described below

commit 15f7a3440dd3372781b1569e401a7e909b55e727
Author: Julius B√ľnger <address@hidden>
AuthorDate: Mon Jul 22 22:16:39 2019 +0200

    RPS doc: Specify "reliable", reformat link
---
 doc/handbook/chapters/developer.texi | 9 ++++++---
 1 file changed, 6 insertions(+), 3 deletions(-)

diff --git a/doc/handbook/chapters/developer.texi 
b/doc/handbook/chapters/developer.texi
index 06f369502..c7c4e478e 100644
--- a/doc/handbook/chapters/developer.texi
+++ b/doc/handbook/chapters/developer.texi
@@ -8860,7 +8860,9 @@ Preferably using annotations.
 @section RPS Subsystem
 
 In literature, Random Peer Sampling (RPS) refers to the problem of
-reliably drawing random samples from an unstructured p2p network.
+reliably@footnote{Reliable in the sense of having no bias, neigther
+spatial, nor spatial nor through malicious activity.} drawing random
+samples from an unstructured p2p network.
 
 Doing so in a reliable manner is not only hard because of inherent
 problems but also because of possible malicious peers that could try to
@@ -8871,8 +8873,9 @@ of random peers in the whole network like gathering 
statistics,
 spreading and aggregating information in the network, load balancing and
 overlay topology management.
 
-The approach chosen in the RPS service implementation in GNUnet follows the
-Brahms@uref{https://bib.gnunet.org/full/date.html\#2009_5f0} design.
+The approach chosen in the RPS service implementation in GNUnet follows
+the @uref{https://bib.gnunet.org/full/date.html\#2009_5f0, Brahms}
+design.
 
 The current state is "work in progress". There are a lot of things that
 need to be done, primarily finishing the experimental evaluation and a

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