Evaluation of intra‐group optimistic data replication in P2P groupware systems

Xhafa, Fatos; Potlog, Alina-Diana; Spaho, Evjola; Pop, Florin; Cristea, Valentin; Barolli, Leonard

doi:10.1002/cpe.2836

Cited by 14 publications

(9 citation statements)

References 13 publications

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“…In [30], replica control mechanisms are classified using three criteria (see also [20], [21], [22]): where updates take place (single-master vs. multi-master), when updates are propagated to all replicas (synchronous vs. asynchronous) and how replicas are distributed over the network (full vs. partial replication) as shown in Fig. 1. …”

Section: Data Replication Update Managementmentioning

confidence: 99%

P2P Data Replication: Techniques and Applications

Spaho

Barolli

Xhafa

et al. 2015

Modeling and Processing for Next-Generation Big-Data Technologies

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Abstract. Peer-to-Peer (P2P) computing systems offer many advantages of decentralized distributed systems but suffer from availability and reliability. In order to increase availability and reliability, data replication techniques are considered commonplace in P2P computing systems. Replication can be seen as a family of techniques. Full documents or just chunks can be replicated. Since the same data can be found at multiple peers, availability is assured in case of peer failure. Consistency is a challenge in replication systems that allow dynamic updates of replicas. Fundamental to any of them is the degree of replication (full vs. partial), as well as the source of the updates and the way updates are propagated in the system. Due to the various characteristics of distributed systems as well as system's and application's requirements, a variety of data replication techniques have been proposed in the distributed computing field. One important distributed computing paradigm is that of P2P systems, which distinguish for their large scale and unreliable nature. In this chapter we study some data replication techniques and requirements for different P2P applications. We identify several contexts and use cases where data replication can greatly support collaboration. This chapter will also discuss existing optimistic replication solutions and P2P replication strategies and analyze their advantages and disadvantages. We also propose and evaluate the performance of a fuzzy-based system for finding the best replication factor in a P2P network.

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Section: Data Replication Update Managementmentioning

confidence: 99%

P2P Data Replication: Techniques and Applications

Spaho

Barolli

Xhafa

et al. 2015

Modeling and Processing for Next-Generation Big-Data Technologies

Self Cite

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“…Moreover, Xhafa et al have proposed and evaluated a replication system for documents organized as XML files using different scenarios. A super‐peer architecture is used by the proposed replication to achieve quick integration for late joining peers.…”

Section: Review Of the Selected Data Replication Mechanismsmentioning

confidence: 99%

Data replication mechanisms in the peer‐to‐peer networks

Mohammadi

Navimipour

2019

Int J Communication

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Peer-to-peer (P2P) network is a distributed network in which nodes with similar capabilities exchange information with each other. Due to the nature of the P2P network distribution, numerous network message transformation is required to exchange the data between nodes over the network, which may increase access latency. Because of the high amount of the stored data in the P2P networks, the replication of data is very important. A large amount of data is handled using data replication to increase data access, reduce access latency, and increase data availability. This issue has an important role in the P2P networks, but there is no complete and systematic research in this field. Therefore, this paper aims to provide a comprehensive study of data replication mechanisms in the P2P networks. The 1027 papers have been identified and have been reduced to 213 main studies using the paper selection process. Moreover, in this paper, the major advances are reviewed in four main groups (structured, unstructured, super-peer, and hybrid networks), and the new challenges are also highlighted. Moreover, the open issues and guidelines for future studies are presented.

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“…In [12], replica control mechanisms are classified using three criteria (see also [13], [14], [15]): where updates take place (single-master vs. multi-master), when updates are propagated to all replicas (synchronous vs. asynchronous) and how replicas are distributed over the network (full vs. partial replication) as shown in Fig. 1.…”

Section: Data Replication and Update Managementmentioning

confidence: 99%

Data Replication Strategies in P2P Systems: A Survey

Spaho

Barolli

Xhafa

2014

2014 17th International Conference on Network-Based Information Systems

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Data replication means storing copies of the same data at multiple peers thus improving availability and scalability. Replication can be seen as a family of techniques. Full documents or just chunks can be replicated. Since the same data can be found at multiple peers, availability is assured in case of peer failure. Consistency is a challenge in replication systems that allow dynamic updates of replicas. Fundamental to any of them is the degree of replication (full or partial), as well as the source of the updates and the way updates are propagated in the system. In this paper we study some data replication strategies and requirements for different P2P applications. We identify several contexts and use cases where data replication can be used. We will also discuss about existing optimistic replication solutions and P2P replication strategies and analyze their advantages and disadvantages.

show abstract

Evaluation of intra‐group optimistic data replication in P2P groupware systems

Cited by 14 publications

References 13 publications

P2P Data Replication: Techniques and Applications

P2P Data Replication: Techniques and Applications

Data replication mechanisms in the peer‐to‐peer networks

Data Replication Strategies in P2P Systems: A Survey

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