This paper presents the design and usage of a language for Conceptual datamodeling in Model-based Systems Engineering. Based on an existing analysis of presently employed data modeling languages, a new conceptual dat...
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ISBN:
(纸本)9789897582325
This paper presents the design and usage of a language for Conceptual datamodeling in Model-based Systems Engineering. Based on an existing analysis of presently employed data modeling languages, a new conceptual data modeling language is defined that brings together characteristic features from software engineering languages, features from languages classically employed for knowledge engineering, as well as entirely newly developed functional aspects. This language has been applied to model a spacecraft as an example, demonstrating its utility for developing complex, multidisciplinary systems in the scope of Model-based Space Systems Engineering.
In order to implement unified evaluation of data modeling languages in network management domain, this paper proposes a multi-criteria method for relative measurement. Proposed method utilizes the Analytical Hierarchy...
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ISBN:
(纸本)9781424427239
In order to implement unified evaluation of data modeling languages in network management domain, this paper proposes a multi-criteria method for relative measurement. Proposed method utilizes the Analytical Hierarchy Process approach by means of paired comparisons. Evaluation result of typical management data modeling languages by the proposed method shows that, none of the languages is yet remarkably advantageous for future network management.
With the emergence of NETCONF, it is expected that a separate effort to study NETCONF-based datamodeling for the sake of network management should be undertaken. This paper first tries to establish a common framework...
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ISBN:
(纸本)9781424420650
With the emergence of NETCONF, it is expected that a separate effort to study NETCONF-based datamodeling for the sake of network management should be undertaken. This paper first tries to establish a common framework for evaluation to measure the capabilities of management data modeling languages. And it aims in utilizing the proposed framework to the case of NIETCONF-based network management, by examining not only existing languages but also XML Schema, which seems quite promising as a NETCONF-based data modeling language.
In order to implement unified evaluation of data modeling languages in network management domain,this paper proposes a multi-criteria method for relative *** method utilizes the Analytical Hierarchy Process approach b...
详细信息
In order to implement unified evaluation of data modeling languages in network management domain,this paper proposes a multi-criteria method for relative *** method utilizes the Analytical Hierarchy Process approach by means of paired *** result of typical management data modeling languages by the proposed method shows that,none of the languages is yet remarkably advantageous for future network management.
Cloud computing platforms consist of a set of reliable services that are run in the cloud. Typically, consumer applications use software development kits (SDKs) provided by the computing platform services to store, up...
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ISBN:
(纸本)9781479950577
Cloud computing platforms consist of a set of reliable services that are run in the cloud. Typically, consumer applications use software development kits (SDKs) provided by the computing platform services to store, update, and retrieve instances of data in the cloud. Services provided by the cloud computing platform, expose different datamodeling paradigms that consumer applications use to interact with the cloud. The service-specific datamodeling paradigms and SDKs increase the complexity of data sharing between consumer applications that interact with the different services of the cloud computing platform. To make matters more complicated, it's not uncommon in an enterprise to find different groups using different cloud computing platforms. In this paper, we will describe a set of abstractions that can be used to abstract different computing platforms. The abstractions not only abstract the computing platform, but also enable the data discovery and sharing between applications. We will further show that these abstractions do not add substantial latency on the performance of the computing platform.
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