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Franchi, Enrico; Poggi, Agostino; Tomaiuolo, Michele

doi:10.4018/ijdst.2016040103

Cited by 15 publications

(3 citation statements)

References 36 publications

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“…Our contention is that other solutions do not have this proof and also not this range of functionality. In addition, to our knowledge, such large tests are heretofore yet to be performed with purely P2P-based OSNs, with a majority of the tests being simulations such as [19,21,[42][43][44]. The evaluation in general presents very insightful information.…”

Section: Discussionmentioning

confidence: 99%

Systematic Evaluation of LibreSocial—A Peer-to-Peer Framework for Online Social Networks

et al. 2020

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Peer-to-peer (P2P) networks have been under investigation for several years now, with many novel mechanisms proposed as is shown by available articles. Much of the research focused on showing how the proposed mechanism improves system performance. In addition, several applications were proposed to harness the benefits of the P2P networks. Of these applications, online social networks (OSNs) raised much interest particularly because of the scalability and privacy concerns with centralized OSNs, hence several proposals are in existence. However, accompanying studies on the overall performance of the P2P network under the weight of the OSN applications outside simulations are very few, if any. In this paper, the aim is to undertake a systematic evaluation of the performance of a P2P framework for online social networks called LibreSocial. Benchmark tests are designed, taking into account the random behavior of users, effects of churn on system stability and effect of replication factor. We manage to run benchmark tests for up to 2000 nodes and show the performance against costs of the system in general. From the results it is evident that LibreSocial’s performance is capable of meeting the needs of users.

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Section: Discussionmentioning

confidence: 99%

Systematic Evaluation of LibreSocial—A Peer-to-Peer Framework for Online Social Networks

et al. 2020

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“…ActoDeS (Actor Development System) is a software framework for the development of concurrent and distributed systems [2,3], implemented by using the Java language and experimented in different application domains (see, for example, [4][5][6]). This software framework takes advantage of concurrent objects (hereafter named actors) derived from the actor model [7], and of pre-existent Java software libraries and solutions for supporting concurrency and distribution.…”

Section: Actodes Overviewmentioning

confidence: 99%

“…Moreover, social networking has a large potential for also easing collaboration across organizational boundaries, but effective e-collaboration through social networks requires the development of open and interoperable systems. This could create some difficulties in the domains of privacy or confidentiality [4]. Some work has been done in the analysis of undesirable behavior such as trolling [26].…”

Section: Related Workmentioning

confidence: 99%

A Multi-Agent Architecture for Data Analysis

et al. 2019

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ActoDatA (Actor Data Analysis) is an actor-based software library for the development of distributed data mining applications. It provides a multi-agent architecture with a set of predefined and configurable agents performing the typical tasks of data mining applications. In particular, its architecture can manage different users’ applications; it maintains a high level of execution quality by distributing the agents of the applications on a dynamic set of computational nodes. Moreover, it provides reports about the analysis results and the collected data, which can be accessed through either a web browser or a dedicated mobile APP. After an introduction about the actor model and the software framework used for implementing the software library, this article underlines the main features of ActoDatA and presents its experimentation in some well-known data analysis domains.

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A community‐based social P2P network for sharing human life digital memories

Rahman

Merabti

Llewellyn‐Jones³

et al. 2020

Trans Emerging Tel Tech

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Social peer-to-peer (P2P) networks are usually designed by reflecting a user's interest/behavior for structuring the underlying network. Human interest is affected by various factors such as age, locality, and so on which changes after some time. The behavior when reflected in a network, results in peers moving within the network in order to connect the peer with peers of the same behavior/interest. Especially in community-based schemes when a peer leaves a community the data that a peer was sharing will not be accessible in the same community anymore. It has an effect on the performance of the network due to the inaccessibility of data and the unavailability of connections, which affect network robustness. We address this issue by considering entities in data in the form of digital memories of a user and structuring network according to entity-based communities. The simulation results for the proposed entity-based community are demonstrated, which shows the effect on network performance during varying network size and traffic.Abbreviations: EBCs, entity-based communities; IRF, interferon regulatory factor; P2P, peer-to-peer.Trans Emerging Tel Tech. 2020;31:e3866.wileyonlinelibrary.com/journal/ett of the individual, will result in peers moving within the network by disconnecting from some peers and connecting to others. The behavior of peers, that is, moving within a network, which we have identified is a distinct behavior in social P2P networks, which to the best of our knowledge has not been mentioned before. However, the two similar behaviors to the mentioned are: peers churn and peers' mobility. This behavior is different than peers churn where peers go completely off the network. 10,11 It is also different than the mobility of peers where peers move from one location to another. In the problem we identified, peers keep their credentials and location and are not disconnected from the network, which makes it different and distinct than the two issues. Community-based schemes, 12-14 for example, interest-based communities (IBCs) 15,16 are more affected by this behavior because any change in an individual's social network disconnects its peer from the whole community which makes the data inaccessible to all peers of that community. As described earlier that human interest is affected by many factors, which any change in these factors results in a change of a human interest. So, change in the interest of a person, when reflected in a social P2P network results in leaving the community by the peer and joining another community of the new interest. People capture their data using various devices such as camera, mobile phones, etc. which form their digital memories. A memory for life (M4L) system 17 is one of the grand challenges in UK which aims to capture, store, annotate, organize, analyze, and share an individual's digital memories. By analyzing digital memories, an M4L system will identify various entities such as places, people, events, etc. in digital memories and which will further be used to generate meanin...

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Blogracy

Cited by 15 publications

References 36 publications

Systematic Evaluation of LibreSocial—A Peer-to-Peer Framework for Online Social Networks

Systematic Evaluation of LibreSocial—A Peer-to-Peer Framework for Online Social Networks

A Multi-Agent Architecture for Data Analysis

A community‐based social P2P network for sharing human life digital memories

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