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Internet Traffic is Asymmetrical: Catch Reverse Path Issues

Author: Jesse

May. 20, 2024

Internet Traffic is Asymmetrical: Catch Reverse Path Issues

In today's interconnected world, the dependence on the Internet to link people, businesses, and information is undeniable. The data traversing this global network is essential to our digital lives. However, many users and even some tech-savvy individuals may overlook the complexity of this data flow. The Internet's network of interconnected routers and servers forms a labyrinthine structure, which often results in traffic that isn't identical in both directions. This asymmetry in internet traffic can cause various challenges, from network performance hiccups to security vulnerabilities.

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This blog post will dive into the intricate nature of internet traffic asymmetry, examining how it can give rise to reverse path issues. We will also explore "Traceroute," an invaluable diagnostic tool, showcasing how it can be used to pinpoint and resolve these issues, thereby ensuring a more reliable and efficient internet experience. Let's embark on this exploration to unravel the secrets of the internet's reverse paths and find out how to catch and correct issues using Traceroutes.

Internet Traffic is Asymmetrical: Describing Asymmetrical Routing

Internet traffic is termed "asymmetrical" because the flow of data between two communicating entities is often uneven, with more data traveling in one direction than the other at any given time.

Several factors contribute to this asymmetrical routing:

  1. Content Consumption vs. Content Creation: A significant example is the disparity between users consuming content (such as watching videos or browsing websites) and creating content (like uploading files or sending emails). Consumption activities generate more downstream traffic, whereas creation activities produce relatively less upstream traffic.

  2. Uploading vs. Downloading: Uploading files or live streaming generates upstream traffic, which is typically smaller in volume compared to the downstream traffic produced by activities like downloading content from servers.

  3. Cloud Services: When using cloud applications, minor edits are sent upstream, while the entire document or file is often downloaded back, causing a heavier downstream load.

  4. Peer-to-Peer (P2P) Sharing: P2P networks create downstream traffic when users download files from multiple peers. However, the upstream traffic is distributed across fewer connections.

  5. Internet Services and Protocols: Specific services, such as online gaming or video streaming, prioritize downstream traffic to enhance user experience, contributing to asymmetry.

  6. Network Infrastructure: Internet Service Providers (ISPs) often optimize their networks for downstream traffic due to its predominance among users, resulting in higher downstream bandwidth compared to upstream.

In summary, the inherent asymmetry in Internet traffic is due to the unequal distribution of data flows during online interactions, with downstream traffic being considerably larger due to content consumption, whereas upstream traffic is comparatively smaller. Grasping this asymmetry is vital for effective network management and performance optimization.

Understanding Hot Potato Routing in Asymmetric Networks

A closer look at a traceroute reveals that Internet traffic is frequently asymmetrical, a phenomenon known as Hot Potato Routing. As soon as an ISP encounters a packet destined for another network, it aims to transfer that packet to the next ISP as quickly as possible.

Hot Potato Routing is a technique used by ISPs to efficiently handle data traffic by rapidly offloading it to minimize latency. This strategy focuses on quickly passing the data onto another network closer to its destination, similar to handing off a "hot potato."

Here’s how Hot Potato Routing operates:

  1. Minimizing Latency: The primary goal is to reduce the time data spends within an ISP's network, enhancing overall performance.

  2. Routing to Nearest Exit Point: Rather than finding the shortest path to the final destination, the data is routed to the nearest exit point for quicker handoff, reducing internal network usage.

  3. Efficient Use of Peering Points: ISPs utilize peering agreements with other providers to transfer traffic efficiently, ensuring a smooth handoff to networks closer to the destination.

  4. Minimizing Internal Network Usage: This approach helps prevent congestion within the ISP's network by offloading traffic swiftly.

  5. Dynamic Routing: ISPs employ dynamic routing protocols to adapt to real-time network conditions, optimizing the choice of exit points.

Hot Potato Routing is essential for high-performance networks, ensuring low-latency and efficient data delivery by quickly transferring data to the appropriate egress points. This strategy ultimately contributes to a faster and smoother internet experience.

Illustrating Hot Potato Routing and Asymmetrical Traffic

Figure A below exemplifies Hot Potato Routing involving two ISPs (A and B), each with routers in New York City (NYC), Dallas (DAL), and San Francisco (SFO). These interconnections facilitate traffic exchange between networks in the three cities.

When source SRC sends a packet to destination DST, ISP A routes it through A-NYC to B-NYC as quickly as possible. From B-NYC, the packet continues its journey within ISP B to DST. The traceroute from SRC to DST would appear as follows:

  
  +---+----------+-------+-----+------+------+------+------+
  | # | Hostname | Loss% | Snt | Last | Avg  | Best | Wrst |
  +---+----------+-------+-----+------+------+------+------+
  | 1 | A-NYC    | 0.0   | 1   | 1.0  | 1.0  | 1.0  | 1.0  |
  | 2 | B-NYC    | 0.0   | 1   | 2.0  | 2.0  | 2.0  | 2.0  |
  | 3 | B-DAL    | 0.0   | 1   | 40.0 | 40.0 | 40.0 | 40.0 |
  | 4 | B-SFO    | 0.0   | 1   | 80.0 | 80.0 | 80.0 | 80.0 |
  | 5 | DST      | 0.0   | 1   | 81.0 | 81.0 | 81.0 | 81.0 |
  +---+----------+-------+-----+------+------+------+------+
  Figure B - SRC to DST
  
  

Conversely, when DST replies to SRC, B routes it through B-SFO to A-SFO. The reverse path differs from the forward one, and the traceroute for DST to SRC would look like this:

  
  +---+----------+-------+-----+------+------+------+------+
  | # | Hostname | Loss% | Snt | Last | Avg  | Best | Wrst |
  +---+----------+-------+-----+------+------+------+------+
  | 1 | B-SFP    | 0.0   | 1   | 1.0  | 1.0  | 1.0  | 1.0  |
  | 2 | A-SFO    | 0.0   | 1   | 2.0  | 2.0  | 2.0  | 2.0  |
  | 3 | A-DAL    | 0.0   | 1   | 40.0 | 40.0 | 40.0 | 40.0 |
  | 4 | A-NYC    | 0.0   | 1   | 80.0 | 80.0 | 80.0 | 80.0 |
  | 5 | SRC      | 0.0   | 1   | 81.0 | 81.0 | 81.0 | 81.0 |
  +---+----------+-------+-----+------+------+------+------+
  Figure C - DST to SRC
  
  

Navigating Asymmetrical Routing Challenges with Traceroutes & Network Monitoring

Troubleshooting asymmetrical routing can be daunting, but several tools can help simplify this process. Traceroutes, visual traceroutes, and network monitoring tools are invaluable allies in diagnosing and addressing these routing challenges.

1. Traceroutes & Asymmetrical Routing

Traceroutes map the path data packets take from source to destination, revealing the routing topology and helping identify potential asymmetrical routing issues.

  • Hops and Latency: Displaying the sequence of routers (hops) and the latency to each hop, traceroutes help pinpoint where asymmetry occurs and assess latency differences.
  • Initial Diagnosis: Traceroutes offer a quick and accessible tool for initial network troubleshooting, identifying basic routing issues and inconsistencies.

2. Visual Traceroutes & Asymmetrical Routing

Visual traceroutes enhance standard traceroute data by presenting it graphically, making anomalies and routing irregularities easier to detect.

  • Comparative Analysis: These tools often allow side-by-side comparisons of forward and reverse paths, crucial for spotting asymmetrical routing discrepancies.
  • User-Friendly Interface: Designed for ease of use, visual traceroutes are accessible to those with limited networking expertise, simplifying the diagnosis process.

3. Network Monitoring Tools & Asymmetrical Routing

Network monitoring tools provide ongoing, real-time tracking of network performance, including routing paths, and alert administrators to issues such as asymmetrical routing disruptions.

  • Historical Data: These tools store historical data, enabling the identification of routing behavior patterns over time.
  • Alerts and Notifications: Configurable alerts notify administrators when specific thresholds or anomalies are detected, ensuring prompt response.
  • Granular Data Analysis: Offering detailed insights into network traffic and routing, these tools aid in effective troubleshooting by identifying root causes.

In summary, combining traceroutes, visual traceroutes, and network monitoring tools provides a comprehensive approach to diagnosing and resolving asymmetrical routing issues, leading to improved network performance and reliability.

4. Combining Traceroutes & NPM for Effective Routing Troubleshooting

Obkio’s Network Performance Monitoring Tool makes monitoring, measuring, and troubleshooting network problems straightforward and efficient, offering deep insights and helping ensure optimal connectivity.

Obkio Vision enhances traceroutes' capabilities, making data more accessible and comprehensible. This combination empowers administrators to manage and troubleshoot asymmetrical routing effectively, optimizing network performance.

  • Comprehensive Network Insights: Provides a complete view of network performance, aiding in identifying issues like reverse path problems.
  • Proactive Issue Resolution: With continuous monitoring and alerts, administrators can address asymmetrical routing issues proactively.
  • Simplified Troubleshooting: User-friendly tools facilitate quick problem resolution.
  • Optimizing Network Performance: Leveraging these tools ensures a reliable and efficient network.

Issues in Asymmetrical Routing: What Are Reverse Path Issues?

Reverse path issues, also known as "reverse path filtering" or "RPF failures," arise when data packets take unexpected routes in the reverse direction. These are prevalent in asymmetric routing scenarios, where forward and reverse paths don’t align, leading to network instability, data loss, or security vulnerabilities.

I. Examples of Reverse Path Issues

  1. Spoofed Packets: Attackers may send spoofed packets with fake source IPs, which, when filtered incorrectly, can block legitimate traffic.

  2. Load Balancing and Anycast: Traffic balanced across multiple servers can follow different paths, resulting in reverse path issues.

  3. Dynamic Routing Protocols: Rigid reverse path filtering may not adapt to dynamic routing changes, leading to traffic being incorrectly filtered or dropped.

II. Causes of Reverse Path Issues

These issues typically occur due to rigid filtering policies, dynamic routing changes, inconsistent routing policies, and lack of visibility into reverse paths.

Catching Reverse Path Issues

Traceroutes are essential diagnostic tools for detecting reverse path issues by mapping data paths from source to destination and vice versa.

  1. Path Visualization: Offers a visual map of data routes, helping identify unexpected paths and disparities.

  2. Asymmetric Routing Detection: Comparing forward and reverse traceroutes reveals asymmetry.

  3. Identifying Filtered Traffic: Points out where packets are blocked or misrouted due to reverse path filtering issues.

  4. Route Validation: Ensures both forward and reverse paths are correct, accounting for dynamic changes.

  5. Troubleshooting: Helps identify and fix specific problems by isolating where reverse path issues occur.

I. Network Congestion in the Reverse Path

Consider a scenario with network congestion (50% packet loss) in the reverse path between A-DAL and A-SFO, marked by the red circle in Figure D:

The forward path traceroute during congestion would look like Figure E:

  
  +---+----------+-------+-----+------+------+------+------+
  | # | Hostname | Loss% | Snt | Last | Avg  | Best | Wrst |
  +---+----------+-------+-----+------+------+------+------+
  | 1 | A-NYC    | 0.0   | 10  | 1.0  | 1.0  | 1.0  | 1.0  |
  | 2 | B-NYC    | 0.0   | 10  | 2.0  | 2.0  | 2.0  | 2.0  |
  | 3 | B-DAL    | 0.0   | 10  | 40.0 | 40.0 | 40.0 | 40.0 |
  | 4 | B-SFO    | 50.0  | 10  | 80.0 | 80.0 | 80.0 | 80.0 |
  | 5 | DST      | 50.0  | 10  | 81.0 | 81.0 | 81.0 | 81.0 |
  +---+----------+-------+-----+------+------+------+------+
  Figure E - SRC to DST during congestion
  
  

The packet loss shown after hop 4 indicates a network issue. However, a reverse path congestion within ISP A might not be obvious until we consider reverse traceroutes:

  
  +---+----------+-------+-----+------+------+------+------+
  | # | Hostname | Loss% | Snt | Last | Avg  | Best | Wrst |
  +---+----------+-------+-----+------+------+------+------+
  | 1 | B-SFP    | 0.0   | 10  | 1.0  | 1.0  | 1.0  | 1.0  |
  | 2 | A-SFO    | 0.0   | 10  | 2.0  | 2.0  | 2.0  | 2.0  |
  | 3 | A-DAL    | 50.0  | 10  | 40.0 | 40.0 | 40.0 | 40.0 |
  | 4 | A-NYC    | 50.0  | 10  | 80.0 | 80.0 | 80.0 | 80.0 |
  | 5 | SRC      | 50.0  | 10  | 81.0 | 81.0 | 81.0 | 81.0 |
  +---+----------+-------+-----+------+------+------+------+
  Figure F - DST to SRC during congestion
  
  

The reverse traceroute helps identify where the issue lies, aiding network engineers at ISPs A and B to troubleshoot the issue affecting SRC and DST traffic.

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Further troubleshooting can be enhanced with traceroutes from sources and destinations within the same ISP to pinpoint the exact problem.

II. Congestion at the Dallas Interconnection

Internet networks are

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