dht

I, already, reviewed a number of documents on this topic but there is something not exactly clear. For example bit torrent document ( http://www.bittorrent.org/beps/bep_0005.html ) states The routing table is subdivided into "buckets" that each cover a portion of the space. An empty table has one bucket with an ID space range of min=0, max=2^160. When a node with ID "N" is inserted into the table, it is placed within the bucket that has min <= N < max. An empty table has only one bucket so any node must fit within it. Each bucket can only hold K nodes, currently eight, before becoming "full."

The kademlia paper talks about the the organization of buckets, splitting, merging and finding the correct bucket to insert in abstract, concise and confusing terms. §2.2 talks about a fixed set of 160 buckets with each bucket covering a fixed subset of the keyspace. But later chapters involve additional splitting and buckets covering different parts of the keyspace. That don't fit well into a fixed list What is the correct way to organize buckets? Meta: Since the confusion is reflected in many questions and partial information has been scattered over many answers this Q&A are intended to

I'm now learning Kademlia network by reading the classical paper Kademlia: A Peer-to-peer Information System Based on the XOR Metric . I want to understand the complexity of its operation but still cannot figure it out. In the 3 Sketch of proof section, the paper gives two definitions: Depth of a node (h) : 160 − i, where i is the smallest index of a non-empty bucket Node y’s bucket height in node x : the index of the bucket into which x would insert y minus the index of x’s least significant empty bucket . And three conclusions: With overwhelming probability the height of a any given node

1.一致性哈希 什么是一致性哈希，和一般的分布式哈希表 (DHT)有什么区别？一般的 DHT使用以下公式进行数据定位： position = Hash(对象名 ) % N（ N是节点个数）。 很明显，如果我们在集群中增减一个节点，都必须要重新计算对象的位置，导致大量的数据迁移的发生。文中的对象表示文件 ( 分布式文件系统 ) 或者数据块 (p2p) 。 2.一致性哈希的改进 3.一致性哈希的实现 参考 来源： https://www.cnblogs.com/dennis-wong/p/11374737.html

I know about NAT traversal and about STUN, TURN and ICE and its use. I want to know whether these are implemented in peer to peer file sharing application like bittorrent. Whether trackers facilitate peers behind NATs to communicate with each other by helping in creating direct connection using STUN or relay through TURN. In the case of Distributed Hash Table(DHT) how one peer would communicate with other peer behind NAT ? BitTorrent does not need to connect to any particular member in a swarm, it's not a p2p chat protocol where two specific end points want to talk to each other. All it cares

I'm trying to understand how can a magnetic link work, as I've read they use DHT and PEX to get the peers, but if I'm a new node in the network how can I find peers with only the hash of the file?! Doesn't it always require a link to a known host? Thanks The bittorrent DHT can be bootstrapped in many ways. It just needs the IP and Port of any other reachable DHT node out there. Current clients generally use several of the following strategies: bootstrap from a cache of long-lived nodes from a previous session use a DNS A/AAAA record mapping to a known node (e.g. router.bittorrent.com or dht