The Experts below are selected from a list of 72 Experts worldwide ranked by ideXlab platform

Wang Zhongjie - One of the best experts on this subject based on the ideXlab platform.

  • a Component optimization design method based on Component Instance set decomposition decreasing Component reuse cost
    Computer and Information Technology, 2005
    Co-Authors: Wang Zhongjie, Xu Xiaofei, Zhan Dechen
    Abstract:

    Traditional Component design methods pay much attention to Component's usefulness, while usually ignore the optimization on Component's usability, such as reuse cost. The aim of this paper is to present a method of Component reuse cost optimization. For that, a feature-based Component model is firstly introduced to express the reusable semantics of Component, with emphasis on reuse mechanism based on variation point. By analysis of constituents of Component reuse cost, the optimization goal, i.e., increasing the proportion of fixed part of a Component, is put forward. Then a Component optimization method based on Component Instance set decomposition (CIS-decomposition) is presented, i.e., according to the reuse frequency of every Component Instance, separate those Instances with higher reuse frequency out to get semi-instantiation Components., hence avoids multiple instantiation and feature item implementation in the every reuse process, thereby reduces the reuse cost.

  • CIT - A Component optimization design method based on Component Instance set decomposition: decreasing Component reuse cost
    The Fifth International Conference on Computer and Information Technology (CIT'05), 2005
    Co-Authors: Wang Zhongjie, Xu Xiaofei, Zhan De-chen
    Abstract:

    Traditional Component design methods pay much attention to Component's usefulness, while usually ignore the optimization on Component's usability, such as reuse cost. The aim of this paper is to present a method of Component reuse cost optimization. For that, a feature-based Component model is firstly introduced to express the reusable semantics of Component, with emphasis on reuse mechanism based on variation point. By analysis of constituents of Component reuse cost, the optimization goal, i.e., increasing the proportion of fixed part of a Component, is put forward. Then a Component optimization method based on Component Instance set decomposition (CIS-decomposition) is presented, i.e., according to the reuse frequency of every Component Instance, separate those Instances with higher reuse frequency out to get semi-instantiation Components., hence avoids multiple instantiation and feature item implementation in the every reuse process, thereby reduces the reuse cost.

Zhan Dechen - One of the best experts on this subject based on the ideXlab platform.

  • a Component optimization design method based on Component Instance set decomposition decreasing Component reuse cost
    Computer and Information Technology, 2005
    Co-Authors: Wang Zhongjie, Xu Xiaofei, Zhan Dechen
    Abstract:

    Traditional Component design methods pay much attention to Component's usefulness, while usually ignore the optimization on Component's usability, such as reuse cost. The aim of this paper is to present a method of Component reuse cost optimization. For that, a feature-based Component model is firstly introduced to express the reusable semantics of Component, with emphasis on reuse mechanism based on variation point. By analysis of constituents of Component reuse cost, the optimization goal, i.e., increasing the proportion of fixed part of a Component, is put forward. Then a Component optimization method based on Component Instance set decomposition (CIS-decomposition) is presented, i.e., according to the reuse frequency of every Component Instance, separate those Instances with higher reuse frequency out to get semi-instantiation Components., hence avoids multiple instantiation and feature item implementation in the every reuse process, thereby reduces the reuse cost.

Zhan De-chen - One of the best experts on this subject based on the ideXlab platform.

  • CIT - A Component optimization design method based on Component Instance set decomposition: decreasing Component reuse cost
    The Fifth International Conference on Computer and Information Technology (CIT'05), 2005
    Co-Authors: Wang Zhongjie, Xu Xiaofei, Zhan De-chen
    Abstract:

    Traditional Component design methods pay much attention to Component's usefulness, while usually ignore the optimization on Component's usability, such as reuse cost. The aim of this paper is to present a method of Component reuse cost optimization. For that, a feature-based Component model is firstly introduced to express the reusable semantics of Component, with emphasis on reuse mechanism based on variation point. By analysis of constituents of Component reuse cost, the optimization goal, i.e., increasing the proportion of fixed part of a Component, is put forward. Then a Component optimization method based on Component Instance set decomposition (CIS-decomposition) is presented, i.e., according to the reuse frequency of every Component Instance, separate those Instances with higher reuse frequency out to get semi-instantiation Components., hence avoids multiple instantiation and feature item implementation in the every reuse process, thereby reduces the reuse cost.

Xu Xiaofei - One of the best experts on this subject based on the ideXlab platform.

  • a Component optimization design method based on Component Instance set decomposition decreasing Component reuse cost
    Computer and Information Technology, 2005
    Co-Authors: Wang Zhongjie, Xu Xiaofei, Zhan Dechen
    Abstract:

    Traditional Component design methods pay much attention to Component's usefulness, while usually ignore the optimization on Component's usability, such as reuse cost. The aim of this paper is to present a method of Component reuse cost optimization. For that, a feature-based Component model is firstly introduced to express the reusable semantics of Component, with emphasis on reuse mechanism based on variation point. By analysis of constituents of Component reuse cost, the optimization goal, i.e., increasing the proportion of fixed part of a Component, is put forward. Then a Component optimization method based on Component Instance set decomposition (CIS-decomposition) is presented, i.e., according to the reuse frequency of every Component Instance, separate those Instances with higher reuse frequency out to get semi-instantiation Components., hence avoids multiple instantiation and feature item implementation in the every reuse process, thereby reduces the reuse cost.

  • CIT - A Component optimization design method based on Component Instance set decomposition: decreasing Component reuse cost
    The Fifth International Conference on Computer and Information Technology (CIT'05), 2005
    Co-Authors: Wang Zhongjie, Xu Xiaofei, Zhan De-chen
    Abstract:

    Traditional Component design methods pay much attention to Component's usefulness, while usually ignore the optimization on Component's usability, such as reuse cost. The aim of this paper is to present a method of Component reuse cost optimization. For that, a feature-based Component model is firstly introduced to express the reusable semantics of Component, with emphasis on reuse mechanism based on variation point. By analysis of constituents of Component reuse cost, the optimization goal, i.e., increasing the proportion of fixed part of a Component, is put forward. Then a Component optimization method based on Component Instance set decomposition (CIS-decomposition) is presented, i.e., according to the reuse frequency of every Component Instance, separate those Instances with higher reuse frequency out to get semi-instantiation Components., hence avoids multiple instantiation and feature item implementation in the every reuse process, thereby reduces the reuse cost.

K K Viswanathan - One of the best experts on this subject based on the ideXlab platform.

  • reliable Component Instance for multi tenant software as a service application
    Computational Science and Engineering, 2019
    Co-Authors: M D Samrajesh, K K Viswanathan
    Abstract:

    Multitenant Software as a Service (SaaS) applications provides high level of application customization, enhanced process flow and access control, using a shared Instance of the application. Cloud reliability is complex due to its resource intricacy and massiveness. The proposed solution considers reliability of the application during design and runtime. A reliable application needs to acclimate dynamically to the conditions in the cloud to enhance the reliability of its service. Component Instance (CI) is dynamically created based on the application's load and placed at different availability zones to enhance the reliability of the application. The objective of the proposed solution is to minimize multi-tenant SaaS application reliability risk considering reliability score of datacenter server energy, server and network capacity. Our evaluation and discussions shows that the proposed reliable framework enhances the reliability of the application and reduces the application risk factor.

  • CSE/EUC - Reliable Component Instance for Multi-tenant Software as a Service Application
    2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computi, 2019
    Co-Authors: M D Samrajesh, K K Viswanathan
    Abstract:

    Multitenant Software as a Service (SaaS) applications provides high level of application customization, enhanced process flow and access control, using a shared Instance of the application. Cloud reliability is complex due to its resource intricacy and massiveness. The proposed solution considers reliability of the application during design and runtime. A reliable application needs to acclimate dynamically to the conditions in the cloud to enhance the reliability of its service. Component Instance (CI) is dynamically created based on the application's load and placed at different availability zones to enhance the reliability of the application. The objective of the proposed solution is to minimize multi-tenant SaaS application reliability risk considering reliability score of datacenter server energy, server and network capacity. Our evaluation and discussions shows that the proposed reliable framework enhances the reliability of the application and reduces the application risk factor.