2006
DOI: 10.1109/icccn.2006.286311
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive Load Balancing for DHT Lookups

Abstract: Abstract-In the past few years, several DHT-based abstractions for peer-to-peer systems have been proposed. The main characteristic is to associate nodes (peers) with objects (keys) and to construct distributed routing structures to support efficient location. These approaches partially consider the load problem by balancing storage of objects without, however, considering lookup traffic. In this paper we present an analysis of structured peer-to-peer systems taking into consideration Zipf-like requests distri… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
14
0

Year Published

2009
2009
2018
2018

Publication Types

Select...
4
2
1

Relationship

0
7

Authors

Journals

citations
Cited by 22 publications
(14 citation statements)
references
References 22 publications
(35 reference statements)
0
14
0
Order By: Relevance
“…The service request keys are drawn from this set according to a power-law distribution such that 50% of the requests are for the top 5% of the keys. This constitutes a realistic workload for a large number of P2P applications [6].…”
Section: Discussionmentioning
confidence: 99%
“…The service request keys are drawn from this set according to a power-law distribution such that 50% of the requests are for the top 5% of the keys. This constitutes a realistic workload for a large number of P2P applications [6].…”
Section: Discussionmentioning
confidence: 99%
“…This has focussed on the construction of increasingly sophisticated and novel designs addressing application areas such as video streaming [25], distributed searching [6] and distributed object location [22]. These systems have generally been developed using 'ad-hoc' overlay-specific approaches to adaptation, focussing on adaptation for maintenance purposes [17][21] [22] as well as optimisation purposes [1][2] [4].…”
Section: Background and Motivationmentioning
confidence: 99%
“…The second method is to measure the service load, including, e.g. the number of service requests, routed messages, the size of stored items, maintenance signalling or the total volume of the traffic (Shen & Xu 2008, Bianchi et al 2006. The relation between the load types can be described as follows; service load generates hardware load and the impact depends on the hardware capabilities of the device in question.…”
Section: Basic Load Balancing Conceptsmentioning
confidence: 99%
“…churn (Godfrey et al 2005), peer proximity and locality (Zhu & Hu 2004, peer activity and object popularity (Bianchi et al 2006). In these models, load information distribution and decision algorithms take into account the mentioned system characteristics.…”
Section: Virtual Serversmentioning
confidence: 99%
See 1 more Smart Citation