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        1 - The Evaluating of Spatial Distribution of Population and Services in Urban Zones of Tabriz
        Rahim Sarvar    
        Today one of the most important issues in urban planning, discussion of balanced and proportionate development in cities having a population of urban services is appropriate. The urban planners to collect and analyze local and spatial data and reflect the results to u More
        Today one of the most important issues in urban planning, discussion of balanced and proportionate development in cities having a population of urban services is appropriate. The urban planners to collect and analyze local and spatial data and reflect the results to urban managers are trying in achieving this goal is the distribution of urban facilities and services will lead to a way that will benefit all social groups in society and lead to social and spatial justice in cities. This study aimed to investigate the relationship between population distribution and the distribution of urban services in urban regions, 37 urban regions of Tabriz and evaluation its urban areas and its population; the civil service has been made. In this study, to assess the distribution of population of the relative entropy model and to assess distribution of services have been used TOPSIS model. The method of this study is descriptive-analytical. The results of entropy model indicates that the distribution of population is proportionate in Tabriz; Also, the evaluation results the distribution of urban services in urban regions indicate that regions of zone 9,10 Tabriz which have the lowest utility and region 1 of zone 2 and zone 3 in the TOPSIS model are having the greatest enjoyment of civil service. Also, the evaluation results correlation between population rank and to its impact on the enjoyment of civil service pay, by using of the Spearman model about (0.4991) shows a high correlation between population rank and access to urban services exist. Manuscript profile
      • Open Access Article

        2 - Integration of Systems in Ultra-Large-Scale Systems Using a Data-Centric Rich Services Approach
        S. Shokrollahi F. Shams J. Esmaeili
        An Ultra-Large-Scale (ULS) system is generally considered as a system-of-systems that have many crosscutting concerns. As the size of a system-of-systems grows, and interoperability demands between the sub-systems are increased, achieving more scalable and dynamic integ More
        An Ultra-Large-Scale (ULS) system is generally considered as a system-of-systems that have many crosscutting concerns. As the size of a system-of-systems grows, and interoperability demands between the sub-systems are increased, achieving more scalable and dynamic integration of sub-systems becomes a major challenge. In this integration, each sub-system has its own domain that may have independent policies. Over the last few years, the notion of Rich Services has emerged as a technique for facilitating integration of systems. In this paper, a Data-Centric Rich Services (DCRS) approach is proposed to improve the dynamicity, scalability, and security of Rich Services in a ULS system. In the proposed approach, a two-layer and data-centric middleware is presented to manage orchestration of Rich Services. The lower layer is a Data Distribution Service (DDS) middleware used for data-centric, publish-subscribe, real-time, and loosely-coupled communication among Rich Services. The upper layer is used for dynamic and secure configuration and reconfiguration of Rich Services. We also analyze the performance of our approach using simulation-based experiments. Manuscript profile