Network-Based Information Systems 

Abstract: Increasing numbers of physical sensors are used for various purposes. Those physical sensors are usually used by their own applications. Because each application manages both of physical sensors and their sensor data exclusively, other applications cannot use the physical sensors in the different party easily. We propose a new infrastructure called Sensor-Cloud infrastructure which can manage physical sensors on IT infrastructure. The Sensor-Cloud Infrastructure virtualizes a physical sensor as a virtual sensor on the cloud computing. Dynamic grouped virtual sensors on cloud computing can be automatic provisioned when the users need them. The approach to enable the sensor management capability on cloud computing. Since the resource and capability of physical sensor devices is limited, the cloud computing on the IT infrastructure can be behalf of the sensor management such as availability and performance of physical sensors. This paper describes the design of Sensor-Cloud Infrastructure, the system architecture and the implementation.

Abstract: Cloud computing is a new form of technology, which infrastructure, developing platform, software, and storage can be delivered as a service in a pay as you use cost model. However, for critical business application and more sensitive information, cloud providers must be selected based on high level of trustworthiness. In this paper, we present a trust model to evaluate cloud services in order to help cloud users select the most reliable resources. We integrate our previous work “conceptual SLA framework for cloud computing” with the proposed trust management model to present a new solution of defining the reliable criteria for the selection process of cloud providers

Abstract: Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrichment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) while using same or different email addresses. In this work, we address the problem of matching user profiles in its globality by providing a suitable matching framework able to consider all the profile’s attributes. Our framework allows users to give more importance to some attributes and assign each attribute a different similarity measure. The set of experiments conducted with our default/recommended attribute/similarity measures shows the superiority of our proposal in comparison with current ones.

Abstract: In any distributed application, the communication between the distributed processes/nodes of the distributed systems is essential for both reliability and efficiency matters. In this work we address this issue for distributed applications based on JXTA protocols. After a careful examination of the current version of JXTA protocols, we observed the need for improving the original JXTA protocols, such as pipe services, to ensure reliable communication between peer nodes and the discovery and presence service to increase the performance of the applications. The re-implemented protocols have been validated in practice by deploying a P2P network using nodes of PlanetLab platform and testing each of the extended protocols using this real P2P network.