Filecoin Report Cal. Week 44 - 2024 #

General Information #

The following results show measurement data that were collected in calendar week 44 in 2024 from 2024-10-28 to 2024-11-04.

• Number of crawls 336
• Number of visits 1,468,136

  Visiting a peer means dialing or connecting to it. Every time the crawler or monitoring process tries to dial or connect to a peer we consider this as visiting it. Regardless of errors that may occur.

• Number of unique peer IDs visited 1,033
• Number of unique peer IDs discovered in the DHT 1,033
• Number of unique IP addresses found 731

Timestamps are in UTC if not mentioned otherwise.

Agents #

This plot shows the distribution of various user agents over time.

Churn Analysis #

This plot presents the Cumulative Distribution Function (CDF) of peer departure times from the network over a measurement period of one-week. The plot basically shows the percentage of nodes online at a point in time (t=0) that will have disconnected after 1 hour, 2 hours, 3 hours, .. up to 24 hours after t=0.

• X-Axis (Time in Hours): Represents the elapsed time since the reference point (t=0), measured in hours.
• Y-Axis (Percentage of Offline Peers): Indicates the cumulative percentage of peers that have disconnected from the network by the corresponding time interval. Specifically, it shows the proportion of peers that were online at t=0 and have since gone offline.

This visualization aids in understanding peer churn dynamics, which is crucial for optimizing network stability, resource allocation, and improving overall decentralized network performance.

Note that the sum of the CDF is NOT 100%, as it only includes peers that were online for up to 24h.

Geolocation #

Geographical data is sourced from the MaxMind database, which maps IP addresses to corresponding countries.

This bar plot illustrates the distribution of observed nodes across different countries.

This plot displays the weekly geographical distribution of nodes, categorized by country.

Cloud Providers #

Cloud providers data is sourced from Udger, which maps IP addresses to known hosting providers.

Cloud Hosting Rate #

This line chart displays the count of nodes within the Filecoin network that are hosted on known commercial cloud providers, compared to those that are not. It tracks the distribution over a specified period, offering insights into the infrastructure preferences for node hosting.

Regular analysis of this chart can reveal trends in the adoption of cloud services for nodes. Such information is crucial for understanding the network’s resilience and the potential reliance on cloud infrastructure.

This bar chart presents the weekly distribution of Filecoin nodes among various cloud providers, including nodes not hosted within data centers (grouped under Non-Datacenter).

The line chart illustrates the trends in the distribution of all Filecoin nodes across cloud providers over the given time period. Note that nodes hosted outside of data centers are not included in this representation.

Crawls #

Protocols #

This plot illustrates the evolving count of nodes supporting each of the listed protocols over time. It exclusively presents data gathered from nodes accessible through a libp2p connection via our crawler. The identification of supported protocols relies on the libp2p identify protocol, hence necessitating a libp2p connection for discovery.

Errors #

Stale Peer Records #

This stacked plot depicts the count of peer records stored within each node’s routing table and made accessible through the DHT. These peer records are used to discover new remote peers within the network, enabling efficient and secure routing towards the target peer or content

Ensuring the reachability of referenced peers shared within the network holds paramount importance. The plot delineates the occurrences of reachable and non-reachable (stale) peer records. Note that nodes running behind a NAT are counted as unreachable even though they may be online.

For instance, if a peer’s record is present in the routing tables of 100 other nodes and the peer is reachable, the plot will reflect an increase of 100 in the online category.