کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6883138 1444128 2018 32 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Generation of feasible deployment configuration alternatives for Data Distribution Service based systems
ترجمه فارسی عنوان
ایجاد گزینه های پیکربندی مجدد عملیات قابل اجرا برای سیستم های خدمات توزیع داده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر شبکه های کامپیوتری و ارتباطات
چکیده انگلیسی
Data distribution service (DDS) has been defined by the OMG to provide a standard data-centric publish-subscribe programming model and specification for distributed systems. DDS has been applied for the development of high performance distributed systems such as in the defense, finance, automotive, and simulation domains. To support the analysis and design of a DDS-based distributed system, the OMG has proposed the DDS UML Profile. A DDS-based system usually consists of multiple participant applications each of which has different responsibilities in the system. These participants can be allocated in different ways to the available resources, which leads to different configuration alternatives. Usually, each configuration alternative will perform differently with respect to the execution and communication cost of the overall system. In general, the deployment configuration is selected manually based on expert knowledge. This approach is suitable for small to medium scale applications but for larger applications this is not tractable. In this paper, we provide a systematic approach for deriving feasible deployment alternatives based on the application design and the available physical resources. The application design includes the design for DDS topics, publishers and subscribers. For supporting the application design, we propose a DDS UML profile. Based on the application design and the physical resources, the feasible deployment alternatives can be algorithmically derived and automatically generated using the developed tools. We illustrate the approach for deriving feasible deployment alternatives of smart city parking system.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Standards & Interfaces - Volume 58, May 2018, Pages 126-145
نویسندگان
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