Taming Hot-Spots in DHT Inverted Indexes

DHT systems are structured overlay networks capable of using P2P resources as a scalable platform for very large data storage applications. However, their efficiency expects a level of uniformity in the association of data to index keys that is often not present in inverted indexes. Index data tends to follow nonuniform distributions, often power law distributions, creating intense local storage hotspots and network bottlenecks on specific hosts. Current techniques like caching cannot, alone, cope with this issue. We propose a new distributed data structure based on a decentralized balanced tree to balance storage data and network load more uniformly across all hosts. The approach is stackable with standard DHTs and ensures that the DHT storage subsystem receives an uniform load by assigning fixed sized, or low variance,