The Experts below are selected from a list of 16263 Experts worldwide ranked by ideXlab platform

Masahiro Mambo - One of the best experts on this subject based on the ideXlab platform.

  • Mobile edge Computing, Fog et al.: A survey and analysis of security threats and challenges
    Future Generation Computer Systems, 2016
    Co-Authors: Rodrigo Roman, Javier López, Masahiro Mambo
    Abstract:

    For various reasons, the Cloud Computing Paradigm is unable to meet certain requirements (e.g. low latency and jitter, context awareness, mobility support) that are crucial for several applications (e.g. vehicular networks, augmented reality). To fulfill these requirements, various Paradigms, such as fog Computing, mobile edge Computing, and mobile Cloud Computing, have emerged in recent years. While these edge Paradigms share several features, most of the existing research is compartmentalized; no synergies have been explored. This is especially true in the field of security, where most analyses focus only on one edge Paradigm, while ignoring the others. The main goal of this study is to holistically analyze the security threats, challenges, and mechanisms inherent in all edge Paradigms, while highlighting potential synergies and venues of collaboration. In our results, we will show that all edge Paradigms should consider the advances in other Paradigms.

Mubashir Husain Rehmani - One of the best experts on this subject based on the ideXlab platform.

  • Mobile Edge Computing: Opportunities, solutions, and challenges
    Future Generation Computer Systems, 2017
    Co-Authors: Ejaz Ahmed, Mubashir Husain Rehmani
    Abstract:

    The emergence of several new Computing applications, such as virtual reality and smart environments, has become possible due to availability of large pool of Cloud resources and services. However, the delay-sensitive applications pose strict delay requirements that transforms euphoria into a problem. The Cloud Computing Paradigm is unable to meet the requirements of low latency, location awareness, and mobility support. In this context, Mobile Edge Computing (MEC) was introduced to bring the Cloud services and resources closer to the user proximity by leveraging the available resources in the edge networks. In this paper, we present the definitions of the MEC given by researchers. Further, motivation of the MEC is highlighted by discussing various applications. We also discuss the opportunities brought by the MEC and some of the important research challenges are highlighted in MEC environment. A brief overview of accepted papers in our Special Issue on MEC is presented. Finally we conclude this paper by highlighting the key points and summarizing the paper.

Rodrigo Roman - One of the best experts on this subject based on the ideXlab platform.

  • Mobile edge Computing, Fog et al.: A survey and analysis of security threats and challenges
    Future Generation Computer Systems, 2016
    Co-Authors: Rodrigo Roman, Javier López, Masahiro Mambo
    Abstract:

    For various reasons, the Cloud Computing Paradigm is unable to meet certain requirements (e.g. low latency and jitter, context awareness, mobility support) that are crucial for several applications (e.g. vehicular networks, augmented reality). To fulfill these requirements, various Paradigms, such as fog Computing, mobile edge Computing, and mobile Cloud Computing, have emerged in recent years. While these edge Paradigms share several features, most of the existing research is compartmentalized; no synergies have been explored. This is especially true in the field of security, where most analyses focus only on one edge Paradigm, while ignoring the others. The main goal of this study is to holistically analyze the security threats, challenges, and mechanisms inherent in all edge Paradigms, while highlighting potential synergies and venues of collaboration. In our results, we will show that all edge Paradigms should consider the advances in other Paradigms.

Zhipu Xie - One of the best experts on this subject based on the ideXlab platform.

  • kid model driven things edge Cloud Computing Paradigm for traffic data as a service
    IEEE Network, 2018
    Co-Authors: Runhe Huang, Zhipu Xie
    Abstract:

    The development of intelligent traffic systems can benefit from the pervasiveness of IoT technologies. In recent years, increasing numbers of devices are connected to the IoT, and new kinds of heterogeneous data sources have been generated. This leads to traffic systems that exist in extended dimensions of data space. Although Cloud Computing can provide essential services that reduce the computational load on IoT devices, it has its limitations: high network bandwidth consumption, high latency, and high privacy risks. To alleviate these problems, edge Computing has emerged to reduce the computational load for achieving TDaaS in a dynamic way. However, how to drive all edge servers' work and meet data service requirements is still a key issue. To address this challenge, this article proposes a novel three-level transparency-of-traffic-data service framework, that is, a KID-driven TEC Computing Paradigm. Its aim is to enable edge servers to cooperatively work with a Cloud server. A case study is presented to demonstrate the feasibility of the proposed new Computing Paradigm with associated mechanisms. The performance of the proposed system is also compared to other methods.

Ejaz Ahmed - One of the best experts on this subject based on the ideXlab platform.

  • Mobile Edge Computing: Opportunities, solutions, and challenges
    Future Generation Computer Systems, 2017
    Co-Authors: Ejaz Ahmed, Mubashir Husain Rehmani
    Abstract:

    The emergence of several new Computing applications, such as virtual reality and smart environments, has become possible due to availability of large pool of Cloud resources and services. However, the delay-sensitive applications pose strict delay requirements that transforms euphoria into a problem. The Cloud Computing Paradigm is unable to meet the requirements of low latency, location awareness, and mobility support. In this context, Mobile Edge Computing (MEC) was introduced to bring the Cloud services and resources closer to the user proximity by leveraging the available resources in the edge networks. In this paper, we present the definitions of the MEC given by researchers. Further, motivation of the MEC is highlighted by discussing various applications. We also discuss the opportunities brought by the MEC and some of the important research challenges are highlighted in MEC environment. A brief overview of accepted papers in our Special Issue on MEC is presented. Finally we conclude this paper by highlighting the key points and summarizing the paper.