The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform

Andrew M. Weiner - One of the best experts on this subject based on the ideXlab platform.

Oscar E. Sandoval - One of the best experts on this subject based on the ideXlab platform.

Audun Josang - One of the best experts on this subject based on the ideXlab platform.

  • the state of the art in personalized recommender systems for social Networking
    Artificial Intelligence Review, 2012
    Co-Authors: Xujuan Zhou, Yue Xu, Yuefeng Li, Audun Josang
    Abstract:

    With the explosion of Web 2.0 application such as blogs, social and professional networks, and various other types of social media, the rich online information and various new sources of knowledge flood users and hence pose a great challenge in terms of information overload. It is critical to use intelligent agent software systems to assist users in finding the right information from an abundance of Web data. Recommender systems can help users deal with information overload problem efficiently by suggesting items (e.g., information and products) that match users' personal interests. The recommender technology has been successfully employed in many applications such as recommending films, music, books, etc. The purpose of this report is to give an overview of existing technologies for building personalized recommender systems in social Networking Environment, to propose a research direction for addressing user profiling and cold start problems by exploiting user-generated content newly available in Web 2.0.

Olivier Togni - One of the best experts on this subject based on the ideXlab platform.

  • Self-establishing a Service Level Agreement within Autonomic Cloud Networking Environment
    2014
    Co-Authors: Mohamad Hamze, Nader Mbarek, Olivier Togni
    Abstract:

    Today, cloud Networking which is the ability to connect the user with his cloud services and to interconnect these services within an inter-cloud approach, is one of the recent research areas in the cloud computing research communities. The main drawback of cloud Networking consists in the lack of Quality of Service (QoS) guarantee and management in conformance with a corresponding Service Level Agreement (SLA). Several research works have been proposed for the SLA establishing in cloud computing, but not in cloud Networking. In this paper, we propose an architecture for self-establishing an end-to-end service level agreement between a Cloud Service User (CSU) and a Cloud Service Provider (CSP) in a cloud Networking Environment. We focus on QoS parameters for NaaS and IaaS services. The architecture ensures a self-establishing of the proposed SLA using autonomic cloud managers.

  • Autonomic Brokerage Service for an End-to-End Cloud Networking Service Level Agreement
    2014
    Co-Authors: Mohamad Hamze, Nader Mbarek, Olivier Togni
    Abstract:

    Today, cloud Networking which is the ability to connect the user with his cloud services and to interconnect these services within an inter-cloud approach, is one of the recent research areas in the cloud computing research communities. The main drawback of cloud Networking consists in the lack of Quality of Service (QoS) assurance and management in conformance with a corresponding Service Level Agreement (SLA). In this paper, we propose a framework for self-establishing an end-to-end service level agreement between a Cloud Service User (CSU) and multiple Cloud Service Providers (CSPs) in a cloud Networking Environment using brokerage service. We focus on QoS parameters for NaaS and IaaS services. This framework ensures a self-establishing of the proposed SLA using autonomic cloud managers. Moreover, videoconferencing is a very demanding application in terms of bandwidth, delay and CPU resources that we have to guarantee. Therefore, we propose to use our cloud Networking architecture and framework to provide the cloud videoconferencing application with QoS guarantee. We simulate the corresponding scenario using the CloudSim toolkit to evaluate its performance. The results reveal a high scalability, and a good video conferencing delay.

Navin B. Lingaraju - One of the best experts on this subject based on the ideXlab platform.