# Service Discovery Decentralized service discovery is a key challenge in blockchain networks, where there is no central authority to manage or maintain a registry of services. In a decentralized system, service discovery needs to be performed by the nodes in the network themselves, without relying on any centralized infrastructure. One approach to decentralized service discovery in blockchain networks is to use a peer-to-peer (P2P) network, where nodes can broadcast their services to other nodes in the network. This can be achieved using protocols such as the Kademlia distributed hash table (DHT), which allows nodes to store and retrieve data in a decentralized and fault-tolerant way. In a blockchain network, nodes can register their services on the DHT, and other nodes in the network can discover these services by performing a lookup on the DHT. The DHT can also be used to store metadata about the services, such as the IP address and port number of the service endpoint. Another approach to decentralized service discovery is to use a decentralized naming system, such as the Ethereum Name Service (ENS). ENS allows users to register human-readable names for their services, which can then be resolved to the corresponding service endpoint using the ENS resolver. ENS is built on top of the Ethereum blockchain, and provides a decentralized and censorship-resistant way to map domain names to service endpoints. Overall, decentralized service discovery is an important challenge in blockchain networks, and requires innovative solutions to enable efficient and reliable discovery of services in a decentralized and trustless environment. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.swanchain.io/core-concepts/service-discovery.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.