Investigating Sharing in Memory for Life Systems

Memory for Life (M4L) systems store and organize life events captured by people in digital form using their cameras, mobile phones and so on. This paper describes M4L systems and the challenges for sharing digital events. Based on the challenges, an investigation is carried out in order to find a suitable technology that allows sharing of digital events according to the social network of a user. For this purpose, Web-based online social networks and peer-to-peer networks are particularly studied. The requirements for a social P2P model for sharing human digital events (HDEs) are suggested as future work

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

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