Polkadot Report Cal. Week 2 - 2024 #
General Information #
The following results show measurement data that were collected in calendar week 2 in 2024 from 2024-01-08 to 2024-01-15.
- Number of crawls
336 - Number of visits
6,337,424Visiting 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
11,769 - Number of unique peer IDs discovered in the DHT
11,761 - Number of unique IP addresses found
14,142
Timestamps are in UTC if not mentioned otherwise.
Agents #
Agent Distribution #
This bar chart represents the distribution of various user agents within the Ethereum discv5 DHT. Each bar corresponds to a different user agent or client type and indicates its relative prevalence within the network for the given reporting period. The chart provides a snapshot of how different Ethereum clients are being utilized in the network’s decentralized infrastructure.
This stacked plot shows the distribution of various user agents over time.
This chart presents the version distribution for all major user agents, with each bar representing the average number of online peers over the course of a week.
This stacked chart illustrates how the distribution of agent versions for all key user agents evolves over time. It offers insights into the uptake of newer versions among these agents.
Churn Analysis #
This visualizes the uptime of peers over a specific period of time. The plot may display trends in churn rate, distribution of uptime periods, or patterns in peer activity. It helps analyze the stability and reliability of the network by identifying fluctuations in peer participation and examining potential factors influencing churn.
💡 Due to the diversity of Polkadot agents and agent versions, we’ve only included agents that have more than 50 peers.
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 Polkadot 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 Polkadot 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 Polkadot 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.