Abstract
With the ubiquitous nature of social networks and cloud computing, we are starting to explore a new way to interact with and exploit these developing paradigms. Social cloud (SC) is a service or resource sharing framework on top of social networks and built on the trust-based social relationships. In recent years, the idea of SC has been gaining importance because of its potential applicability. This article introduces a novel SC management scheme with a view of game theory model and reciprocal resource sharing mechanism. In particular, we devise a new transformable Stackelberg game to coordinate the interdependence between social structure and resource availability for individual users. Our proposed scheme constantly monitors the current SC system conditions and adaptively exploits the available resources while ensuring mutual fairness. The simulation results show that the proposed method is effective in distributed SC environments and adaptively supports application executions timely and ubiquitously.
Highlights
Digital relationships between individual people become more and more embedded in our daily actions, and they can be powerful influences in our real-life
Motivated by the above discussion, we propose a new Social cloud (SC) resource sharing scheme based on the transformable Stackelberg (TS) game model
To get a fair-efficient resource allocation, we develop a new resource distribution algorithm based on the relative utilitarian bargaining model [18]; it can be applicable and useful in a SC system with a frequently changing situation
Summary
Digital relationships between individual people become more and more embedded in our daily actions, and they can be powerful influences in our real-life. The scheme in [8] was developed for leveraging the online relationships to form a dynamic social cloud, while enabling users to share heterogeneous resources within the context of a social network. To construct a social compute cloud, the SCC scheme accessed users’ social networks, allowed users to elicit sharing preferences, and utilized matching algorithms to enable preference-based socially aware resource allocation. These techniques have been incorporated into the TS game model, which is developed to let distributed players learn the best strategy in the step-bystep interactive online manner This approach can induce all SC users to share resources as much as possible and ensure a good tradeoff between the implementation complexity for real-world SC operations and an effective system performance. According to the proposed TS game model, network devices can self-organize into the mutually satisfactory computation offloading decisions
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