Peer-to-Peer Lookup Process Based on Data Popularity

Cherbal, Sarra; Lamraoui, Bilal

doi:10.1007/978-3-030-38501-9_18

Cited by 1 publication

(9 citation statements)

References 14 publications

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“…To ensure the availability of certain resources, they must be replicated, that is, create multiple copies of these resources and distribute them. In some replication strategies, it is necessary to know whether a resource is popular or not to decide whether to replicate it and on which replica nodes [14]. There are other strategies, like [8], which takes into consideration churn rate and fault tolerance while replicating data.…”

Section: Replication Methodsmentioning

confidence: 99%

“…Besides, replicating on randomly choosing nodes can lead to a poor dispersion of data through the network zone. Which is the missing point by Cherbal and Lamraoui [14], where the work interests by proposing an efficiency equation to calculate popularity factor that happens to increase data indexes on the network. However, in ref.…”

Section: Measuring Popularity Factormentioning

confidence: 99%

“…Besides, proposing a zone partition approach and a replication mechanism based on this partition to better disperse the replicas across the network. However, the main aim of this work is to improve the replication method we proposed by Cherbal and Lamraoui [14].…”

Section: Characteristics Of Categories (1) (2) (3)mentioning

confidence: 99%

“…As we have mentioned before, the main aim of this work is to improve the replication method we proposed in ref. [14]. Therefore, we compare the lookups hop count of ZRR-P2P with the work of ref.…”

Section: Hop Countmentioning

confidence: 99%

“…In this type of systems, lookup (search) service optimization always presents a major challenge to offer a good quality of service to users [11], in terms of criteria such as search latency, the search success rate [12], number of search hops [13,14], etc.…”

Section: Introductionmentioning

confidence: 99%

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ZRR-P2P: Zone-Based Mechanism for Data Replication and Research Optimization in Unstructured P2P Systems

Cherbal¹,

Barouchi²

2021

ISI

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Peer-to-peer systems (P2P) have enjoyed great popularity in terms of sharing content in distributed environments. In mobile P2P networks, how to improve the efficiency of the resource lookup has been an important topic of research. Among the existing solutions, we find lookup mechanisms based on data replication that can increase data availability and reduce search latency. On the other side, these solutions have certain limits such as in the selection of resources to be replicated and in increasing the storage space of peers with additional data. Therefore, this work ZRR-P2P (Zone-based mechanism for data Replication and Research optimization in P2P) comes with the aim of partitioning the network zone on sub-zones and of replicating popular data shared in the network. Thus, in order to improve the research process without increasing storage space of peers. The simulation results show that our strategy manages to increase data availability and improve the search process in terms of hops count and search latency, while avoiding increasing the storage space of peers.

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Section: Replication Methodsmentioning

confidence: 99%

Section: Measuring Popularity Factormentioning

confidence: 99%

Section: Characteristics Of Categories (1) (2) (3)mentioning

confidence: 99%

Section: Hop Countmentioning

confidence: 99%