Application Virtualization

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The Experts below are selected from a list of 219 Experts worldwide ranked by ideXlab platform

Kenneth Van Surksum - One of the best experts on this subject based on the ideXlab platform.

Min Choi - One of the best experts on this subject based on the ideXlab platform.

  • load balancing system for iptv web Application Virtualization
    International Conference on Information and Communication Technology Convergence, 2013
    Co-Authors: Min Choi
    Abstract:

    Web Applications are easy to develop and maintain. It is desirable to provide Web Application services to IPTV. However many legacy set-top boxes lack enough computing power to run Web Applications. Desktop Virtualization technologies can be used to provide Web Application services to legacy set-top boxes. Multiple servers and a load balancing system are required to serve many clients. This paper describes a load balancing system for IPTV Web Application Virtualization. The load balancing system distributes requests based on server loads and supports high availability.

  • ICTC - Load balancing system for IPTV web Application Virtualization
    2013 International Conference on ICT Convergence (ICTC), 2013
    Co-Authors: Min Choi
    Abstract:

    Web Applications are easy to develop and maintain. It is desirable to provide Web Application services to IPTV. However many legacy set-top boxes lack enough computing power to run Web Applications. Desktop Virtualization technologies can be used to provide Web Application services to legacy set-top boxes. Multiple servers and a load balancing system are required to serve many clients. This paper describes a load balancing system for IPTV Web Application Virtualization. The load balancing system distributes requests based on server loads and supports high availability.

Fu Ping-wu - One of the best experts on this subject based on the ideXlab platform.

Kang Chen - One of the best experts on this subject based on the ideXlab platform.

  • ICPP Workshops - Flexible Desktop Application Management and Its Influence on Green Computing
    2015 44th International Conference on Parallel Processing Workshops, 2015
    Co-Authors: Yongwei Wu, Kang Chen
    Abstract:

    Environmentally sustainable computing and green computing have been studied addressing the need of reducing power consumption mainly in area of high performance computing systems(HPC), mostly on the server side. However, desktop Applications in wide-spread use of large organizations and companies are given relatively less focus. In this paper, we study the Application fast deployment and fast crash restore through lightweight Application Virtualization, which can actually conserve energy by significantly reducing Application installation/start up time and Application crash restore time. We demonstrate that the proposed lightweight Application Virtualization method has little performance degradation with a noticeable energy saving by carrying out experiments on lots of commonly used real-world work Applications. In addition, we implement the prototype system to help users to continue normal work quickly without losing data after crashing. Several novel mechanisms are utilized to make the process fast. We evaluate the system from aspects of start up time, runtime performance and Application compatibility, and using a power evaluation model to measure the effectiveness of the system.

  • Flexible Desktop Application Management and Its Influence on Green Computing
    Proceedings of the International Conference on Parallel Processing Workshops, 2015
    Co-Authors: Wenlei Zhu, Yongwei Wu, Kang Chen
    Abstract:

    Environmentally sustainable computing and green computing have been studied addressing the need of reducing power consumption mainly in area of high performance computing systems(HPC), mostly on the server side. However, desktop Applications in wide-spread use of large organizations and companies are given relatively less focus. In this paper, we study the Application fast deployment and fast crash restore through lightweight Application Virtualization, which can actually conserve energy by significantly reducing Application installation/start up time and Application crash restore time. We demonstrate that the proposed lightweight Application Virtualization method has little performance degradation with a noticeable energy saving by carrying out experiments on lots of commonly used real-world work Applications. In addition, we implement the prototype system to help users to continue normal work quickly without losing data after crashing. Several novel mechanisms are utilized to make the process fast. We evaluate the system from aspects of start up time, runtime performance and Application compatibility, and using a power evaluation model to measure the effectiveness of the system. © 2015 IEEE.

Zhiyun Qian - One of the best experts on this subject based on the ideXlab platform.

  • app in the middle demystify Application Virtualization in android and its security threats
    Measurement and Modeling of Computer Systems, 2019
    Co-Authors: Lei Zhang, Zhemin Yang, Yuyu He, Mingqi Li, Sen Yang, Min Yang, Yuan Zhang, Zhiyun Qian
    Abstract:

    Customizability is a key feature of the Android operating system that differentiates it from Apple's iOS. One concrete feature that gaining popularity is called "app Virtualization''. This feature allows multiple copies of the same app to be installed and opened simultaneously (e.g., with multiple accounts logged in). Virtualization frameworks are used by more than 100 million users worldwide. As with any new system features, we are interested in two aspects: (1) whether the feature itself introduces security risks and (2) whether the feature is abused for unintended purposes. This paper conducts a systematic study on the two aspects of the app Virtualization techniques. With a thorough study of 32 popular Virtualization frameworks from Google Play, we identify seven areas of potential attack vectors and find that most of the frameworks are susceptible to them. By deeply investigating their ecosystem, we show, with demonstrations, that attackers can easily distribute malware that takes advantage of these attack vectors. In addition, we show that the same Virtualization techniques are also abused by malware as an alternative and easy-to-use repackaging mechanism. To this end, we design and implement a new app repackage detector. After scanning 250,145 apps from app markets, it finds 164 repackaged apps that attempt to steal user credentials and private data.

  • SIGMETRICS (Abstracts) - App in the Middle: Demystify Application Virtualization in Android and its Security Threats
    Abstracts of the 2019 SIGMETRICS Performance Joint International Conference on Measurement and Modeling of Computer Systems - SIGMETRICS '19, 2019
    Co-Authors: Lei Zhang, Zhemin Yang, Yuyu He, Mingqi Li, Sen Yang, Min Yang, Yuan Zhang, Zhiyun Qian
    Abstract:

    Customizability is a key feature of the Android operating system that differentiates it from Apple's iOS. One concrete feature that gaining popularity is called "app Virtualization''. This feature allows multiple copies of the same app to be installed and opened simultaneously (e.g., with multiple accounts logged in). Virtualization frameworks are used by more than 100 million users worldwide. As with any new system features, we are interested in two aspects: (1) whether the feature itself introduces security risks and (2) whether the feature is abused for unintended purposes. This paper conducts a systematic study on the two aspects of the app Virtualization techniques. With a thorough study of 32 popular Virtualization frameworks from Google Play, we identify seven areas of potential attack vectors and find that most of the frameworks are susceptible to them. By deeply investigating their ecosystem, we show, with demonstrations, that attackers can easily distribute malware that takes advantage of these attack vectors. In addition, we show that the same Virtualization techniques are also abused by malware as an alternative and easy-to-use repackaging mechanism. To this end, we design and implement a new app repackage detector. After scanning 250,145 apps from app markets, it finds 164 repackaged apps that attempt to steal user credentials and private data.

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