init writing over benchmark

main.tex

@@ -83,8 +83,8 @@
 %  THESIS INFORMATION
 %----------------------------------------------------------------------------------------
 
-\thesistitle{Development and Verification of a Theoretical Model for
-the Clan Framework} % Your thesis title, this is used in the title
+\thesistitle{Decrypting the Overlay: A Reproducible Analysis of P2P
+VPN Implementation and Overhead} % Your thesis title, this is used in the title
 % and abstract, print it elsewhere with \ttitle
 \supervisor{\textsc{Ber Lorke}} % Your supervisor's name, this is
 % used in the title page, print it elsewhere with \supname
@@ -217,25 +217,43 @@ and Management}} % Your department's name and URL, this is used in
 
 \begin{abstract}
   \addchaptertocentry{\abstractname} % Add the abstract to the table of contents
-  This thesis investigates Clan, an open-source framework for machine
-  configuration management in peer-to-peer networks. The research
-  focuses on its capabilities as a unified source of truth for
-  managing distributed systems. Underpinning this analysis are key
-  technologies: ZeroTier, Mycelium, and the "Data Mesher," a
-  conflict-free replicated database supporting decentralized operations.
 
-  The study examines three main aspects critical to evaluating Clan's
-  efficacy: fault tolerance, scalability, and security. Fault
-  tolerance is analyzed in the context of network disruptions and
-  node failures. Scalability is evaluated through theoretical models
-  and real-world implementations to measure system performance under
-  varying loads. Security is tested through targeted attack scenarios
-  to assess the framework's resilience to potential threats.
+  This thesis evaluates the performance and fault tolerance of
+  peer-to-peer mesh VPNs through an automated, reproducible
+  benchmarking framework
+  built on the Clan deployment system.
+  We establish a cloud API–independent, binary-reproducible environment
+  for deploying and assessing various VPN implementations,
+  including Tailscale (via Headscale), Hyprspace, Lighthouse, Tinc,
+  and ZeroTier.
+
+  To simulate real-world network conditions, we employ four impairment profiles
+  with varying degrees of packet loss, reordering, latency, and jitter.
+  Our benchmark suite comprises RIST video streaming, Nix cache downloads,
+  iperf3 throughput tests, QUIC transfers, and ping latency measurements.
+  The experiments run on three machines interconnected at 1\,Gbps,
+  each equipped with four CPU cores and eight threads.
+  In total, we evaluate ten VPNs across seven benchmarks and four
+  impairment profiles,
+  yielding over 300 unique measurements.
+
+  Our analysis reveals that Tailscale outperforms the Linux kernel's
+  default networking stack under degraded network conditions—a
+  counterintuitive finding
+  we investigate through source code analysis of packet handling,
+  encryption schemes, and resilience mechanisms.
+  This investigation also uncovered several critical security vulnerabilities
+  across the evaluated VPNs.
+
+  We validate our hypotheses by re-running benchmarks with tuned
+  Linux kernel parameters,
+  demonstrating measurable improvements in network throughput.
+  This work contributes to decentralized networking research
+  by providing an extensible framework for reproducible P2P benchmarks,
+  offering insights into overlay VPN implementation quality,
+  and demonstrating that default Linux kernel settings are suboptimal
+  for adverse network conditions.
 
-  By comprehensively addressing these three aspects, this thesis aims
-  to provide a detailed evaluation of Clan and its supporting
-  technologies, particularly in the management of distributed
-  peer-to-peer systems.
 \end{abstract}
 
 %----------------------------------------------------------------------------------------
@@ -246,9 +264,8 @@ and Management}} % Your department's name and URL, this is used in
   \addchaptertocentry{\acknowledgementname} % Add the
   % acknowledgements to the table of contents
 
-  I am very grateful to my team members Mic92, Lassulus, W, Hsjobeki,
-  DavHau, Kenji, Paul and Timo with whom
-  I worked together with to create the Clan framework.
+  I am very grateful to my work collegues Mic92, Lassulus, W, Hsjobeki,
+  DavHau and Pinpox with whom I worked together to create the Clan framework.
   As well as my supervisor, Ber Lorke, for his guidance and support
   during my research.
   His advice and feedback have been invaluable.