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

Abstract

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...

Structuring communities for sharing human digital memories in a social P2P network

“…In our previous work [33], different challenges has been identified for sharing human digital memories such as network structure, data privacy, searching, etc. [6,15,23] and have proposed an Entity-Based Social Peer-to-Peer (P2P) Network (ESP2PN) [34] where the communities are formed according to entities in digital memories [38]. This operates on the analyzed and annotated digital memories captured by memory for life system.…”