@conference {lopes2007taming,
	title = {Taming hot-spots in dht inverted indexes},
	booktitle = {The 11th International Workshop on. Large-Scale and Distributed Systems - LSDS-IR},
	volume = {7},
	year = {2007},
	month = {February},
	publisher = {Citeseer},
	organization = {Citeseer},
	address = {Amsterdam, The Netherlands},
	abstract = {<p>DHT systems are structured overlay networks capable of using<br />
P2P resources as a scalable platform for very large data storage<br />
applications. However, their efficiency expects a level of uni-<br />
formity in the association of data to index keys that is often<br />
not present in inverted indexes. Index data tends to follow non-<br />
uniform distributions, often power law distributions, creating in-<br />
tense local storage hotspots and network bottlenecks on specific<br />
hosts. Current techniques like caching cannot, alone, cope with<br />
this issue.<br />
We propose a new distributed data structure based on a decen-<br />
tralized balanced tree to balance storage data and network load<br />
more uniformly across all hosts. The approach is stackable with<br />
standard DHTs and ensures that the DHT storage subsystem re-<br />
ceives an uniform load by assigning fixed sized, or low variance,<br />
blocks.</p>
},
	attachments = {https://haslab.uminho.pt/sites/default/files/cbm/files/acmlsdsir07.pdf},
	author = {Nuno Lopes and Carlos Baquero Moreno}
}