From 4edf845e60e63dfb46b023fe2cc69709fe7795a1 Mon Sep 17 00:00:00 2001 From: Ian Clarke Date: Mon, 2 Dec 2024 21:12:10 -0500 Subject: [PATCH] Save changes to summary-delta-sync.md --- hugo-site/content/news/summary-delta-sync.md | 15 ++++++--------- 1 file changed, 6 insertions(+), 9 deletions(-) diff --git a/hugo-site/content/news/summary-delta-sync.md b/hugo-site/content/news/summary-delta-sync.md index ab438751..e3d03394 100644 --- a/hugo-site/content/news/summary-delta-sync.md +++ b/hugo-site/content/news/summary-delta-sync.md @@ -45,10 +45,7 @@ the latest timestamp. Freenet’s approach involves a **two-step process** designed to minimize the amount of data transferred. Freenet’s approach involves a **two-step process** designed to minimize the amount of -data transferred. ======= Freenet’s approach involves a **two-step process** designed to minimize -the amount of data transferred. Freenet’s approach involves a **two-step process** designed to -minimize the amount of data transferred. Freenet’s approach involves a **two-step process** designed -to minimize the amount of data transferred. +data transferred. - Each node generates a **summary** of its current state, which is a compact representation of what it knows. @@ -87,9 +84,9 @@ consistency: relying instead on local operations and efficient propagation through a structured small-world network. -**Freenet's Summary-Delta Synchronization** not only simplifies the problem of achieving -eventual consistency in distributed systems but also provides the flexibility and efficiency needed -for diverse, decentralized applications. +**Freenet's Summary-Delta Synchronization** not only simplifies the problem of achieving eventual +consistency in distributed systems but also provides the flexibility and efficiency needed for +diverse, decentralized applications. #### Peer Synchronization Example @@ -104,8 +101,8 @@ Below is a simple visualization of how two peers synchronize their data using su #### Network-wide Propagation -The visualization below shows how updates propagate through the entire network using color to represent -state updates, just click individual nodes to trigger updates. Notice how: +The visualization below shows how updates propagate through the entire network using color to +represent state updates, just click individual nodes to trigger updates. Notice how: - Updates propagate gradually from node to node - Multiple updates can spread simultaneously