The Experts below are selected from a list of 54 Experts worldwide ranked by ideXlab platform

Joseph L Hellerstein - One of the best experts on this subject based on the ideXlab platform.

  • a configuration complexity model and its application to a Change Management System
    IEEE Transactions on Network and Service Management, 2007
    Co-Authors: Alexander Keller, A B Brown, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • a model of configuration complexity and its application to a Change Management System
    Integrated Network Management, 2005
    Co-Authors: A B Brown, Alexander Keller, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • a model of configuration complexity and its application to a Change Management System
    Integrated Network Management, 2005
    Co-Authors: A B Brown, Alexander Keller, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

Alexander Keller - One of the best experts on this subject based on the ideXlab platform.

  • a configuration complexity model and its application to a Change Management System
    IEEE Transactions on Network and Service Management, 2007
    Co-Authors: Alexander Keller, A B Brown, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • a model of configuration complexity and its application to a Change Management System
    Integrated Network Management, 2005
    Co-Authors: A B Brown, Alexander Keller, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • a model of configuration complexity and its application to a Change Management System
    Integrated Network Management, 2005
    Co-Authors: A B Brown, Alexander Keller, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • automating the provisioning of application services with the bpel4ws workflow language
    Distributed Systems: Operations and Management, 2004
    Co-Authors: Alexander Keller, Remi Badonnel
    Abstract:

    We describe the architecture and implementation of a novel workflow-driven provisioning System for application services, such as multi-tiered e-Commerce Systems. These services need to be dynamically provisioned to accomodate rapid Changes in the workload patterns. This, in turn, requires a highly automated service provisioning process, for which we were able to leverage a general-purpose workflow language and its execution engine. We have successfully integrated a workflow-based Change Management System with a commercial service provisioning System that allows the execution of automatically generated Change plans as well as the monitoring of their execution.

A B Brown - One of the best experts on this subject based on the ideXlab platform.

  • a configuration complexity model and its application to a Change Management System
    IEEE Transactions on Network and Service Management, 2007
    Co-Authors: Alexander Keller, A B Brown, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • a model of configuration complexity and its application to a Change Management System
    Integrated Network Management, 2005
    Co-Authors: A B Brown, Alexander Keller, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

  • a model of configuration complexity and its application to a Change Management System
    Integrated Network Management, 2005
    Co-Authors: A B Brown, Alexander Keller, Joseph L Hellerstein
    Abstract:

    The complexity of configuring computing Systems is a major impediment to the adoption of new information technology (IT) products and greatly increases the cost of IT services. This paper develops a model of configuration complexity and demonstrates its value for a Change Management System. The model represents Systems as a set of nested containers with configuration controls. From this representation, we derive various metrics that indicate configuration complexity, including execution complexity, parameter complexity, and memory complexity. We apply this model to a J2EE-based enterprise application and its associated middleware stack to assess the complexity of the manual configuration process for this application. We then show how an automated Change Management System can greatly reduce configuration complexity.

Ian Maddocks - One of the best experts on this subject based on the ideXlab platform.

  • smart card pin Management via an unconnected reader
    2010
    Co-Authors: Ian Maddocks
    Abstract:

    A System of changing the PIN associated with a smart card is described. A user can initiate the PIN Change using a personal unwired smart card reader, rather than using a System, such as an ATM machine. The smart card reader, loaded with the smart card provides a cryptogram code, which can contain the user's requested new PIN or it can be provided to the issuer via alternative methods. Via various methods the cryptogram code is delivered to the card issuer's PIN Change Management System, including the user transposing the code from smart card reader screen to the card issuer's web site or audio DTMF transmission from the smart card reader speaker to the card issuer IVR System. Returned from the issuer, via a similar path, will be a command code that when processed by the smart card reader will result in a PIN Change on the smart card.

  • System method and apparatus for smart card pin Management via an unconnected reader
    2009
    Co-Authors: Ian Maddocks
    Abstract:

    A System of changing the PIN associated with a smart card is described. A user can initiate the PIN Change using a personal unwired smart card reader, rather than using a System, such as an ATM machine. The smart card reader, loaded with the smart card provides a cryptogram code, which can contain the user's requested new PIN or it can be provided to the issuer via alternative methods. Via various methods the cryptogram code is delivered to the card issuer's PIN Change Management System, including the user transposing the code from smart card reader screen to the card issuer's web site or audio DTMF transmission from the smart card reader speaker to the card issuer IVR System. Returned from the issuer, via a similar path, will be a command code that when processed by the smart card reader will result in a PIN Change on the smart card.

Young Hoon Kwak - One of the best experts on this subject based on the ideXlab platform.

  • project Change Management System
    Journal of Management in Engineering, 2001
    Co-Authors: William C Ibbs, Clarence K Wong, Young Hoon Kwak
    Abstract:

    Changes in projects are common and may be deleterious or beneficial—whether you see a Change as a conflict or a valuable lesson depends only on your prospective. Project Changes affect the cost, the scheduling, and the duration of projects, both directly and indirectly. Despite many articles and much discussion in practice and academic literature, there is a lack of information about Systematic approaches to manage project Change. This paper introduces a comprehensive project Change Management System that is founded on five principles: (1) promote a balanced Change culture; (2) recognize Change; (3) evaluate Change; (4) implement Change; and (5) continuously improve from lessons learned. By applying this project Change Management System, project participants can minimize deleterious Change and promote beneficial Change.