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The mobile phone technologies are becoming per vasive in recent years. These items such as IPhones, IPad and AndrOIds are very attractive since they provide relatively good resources for a mobile device. Several works aim at integrating desktop applications in these tools to make them closer to the real computer. However, adapting desktop applications to these tools is a challenging problem as they do not have the same features. Real time collaborative editors are famous applications allowing for several users to edit the same shared document simultaneously. Such an application is more and more used not only in professional fields but also in a personal context. In this work, we extend decentralized collaborative editors to mobile devices by conceiving a successful garbage collection scheme that optimally manages mobile devices resources. We propose a novel design for distributed garbage collection that ensures a good behavior of the application through the good measurements obtained for different types of mobile phones.

Nowadays, we assist to an explosion of mobile applications due to the rapid development of smartphones. These smartphones are becoming the device of choice for people to collaborate with family members, friends and business colleagues and/or customers. However, building ad-hoc collaboration around mobile applications requires increasing amounts of computation, data storage and network communications. Moreover, preserving the consistency in a decentralized way of the manipulated shared documents under constraints of the mobile applications, namely the freshness and the energy consumption, remains still a great challenge. In this paper, we propose a new Mobile Collaboration service-based approach in the cloud dealing with this problem.

International audienceThe powerful evolution of hardware, software and data connectivity of mobile devices (such as smartphones and tablets) stimulates people to publish and share their personal data (like social network information or sensor readings) independently of spatial and temporal constraints. To do this, the development of an efficient semantic web collaborative editor for mobile devices is needed. However, collaboratively editing a shared semantic web document in real-time through ad-hoc peer-to-peer mobile networks requires increasing amounts of computation, data storage and network communication. In this paper, we propose a new cloud service-based model that allows a real-time co-authoring of Linked-Data (LD) as a RDF (Resource Description Framework) graph using mobile devices. Our model is built upon two layers: (i) cloning engine that enables users to clone their mobile devices in the cloud to delegate the overload of collaborative tasks and provides peer-to-peer networks where users can create ad-hoc groups; (ii) Collaborative engine that allows updating freely and concurrently a shared RDF graph in peer-to-peer fashion without requiring a central server. This work represents a step forward toward a practical and flexible co-authoring environment for LD