Modelling and Implementing Social Community Clouds
Abstract: As the number of people who interact on social networks increases, and coupled with the greater capability made available within our computational devices, there is the potential to establish “Social Clouds� Clouds�-aa resource sharing infrastructure that enable pe people ople who have trust relationships to come together to share computational/ data services within a community. Social clouds can also provide the means to enhance multi multi-user user collaboration and greatly stimulate the exchange of resources among participants. Re Recent cent research in the establishment and use of Social Clouds has raised significant interest by proposing an environment where users are able to trade resources mediated by a social networking mechanism. In such a cloud environment the incentives for sharing sharin can represent a solution for improving resource utilisation and for making available additional capacity to friends and collaborators. In this paper we demonstrate how revenue can be earned within a social cloud community, by executing internal (intra co community) mmunity) and external (inter community) tasks. A number of different scenarios are first investigated through simulation, using the PeerSim simulator, in order to validate our approach. We use two key metrics: revenue and reputation, to evaluate how the sy system stem dynamics change as new tasks are added to one or more communities for execution, along with additional behaviours, such as nodes migrating from one community to another, or selectively reporting on the outcome of task execution. Subsequently, we develop devel