یک چارچوب جدید تجزیه و تحلیل کلان داده ها برای شهرهای هوشمند / A novel big data analytics framework for smart cities

یک چارچوب جدید تجزیه و تحلیل کلان داده ها برای شهرهای هوشمند A novel big data analytics framework for smart cities

  • نوع فایل : کتاب
  • زبان : انگلیسی
  • ناشر : Elsevier
  • چاپ و سال / کشور: 2018

توضیحات

رشته های مرتبط مهندسی فناوری اطلاعات، معماری، شهرسازی
گرایش های مرتبط مدیریت سیستم های اطلاعات، طراحی شهری
مجله نسل آینده سیستم های کامپیوتری – Future Generation Computer Systems
دانشگاه Luleå Technical University – Department of Computer Science – SWEDEN
شناسه دیجیتال – doi https://doi.org/10.1016/j.future.2018.06.046
منتشر شده در نشریه الزویر
کلمات کلیدی انگلیسی Analytics framework; Apache Hadoop; Apache Spark; Big data; Smart cities

Description

1. Introduction The concept of smart cities emerged as a strategy to mitigate the unprecedented challenges of continuous urbanization, increasing population density and at the same time provide better quality of life to the citizens and visitors [1]. A smart city is composed of smart components such as smart buildings, smart farms and smart hospitals, which constitute various city domains where the meaning of the label “smart” has different connotations in each domain [2]. ICT applications and intensive use of digital artifacts such as sensors, actuators and mobiles are essential means for realizing smartness in any of smart city domains [3]. However, “smartening” of various city domains is not enough for a city to be smart, whereas the interrelationship between the underlying city domains should be taken into account to realize city smartness [3, 4]. As such, a smart city is viewed as a whole body of systems or system of systems. This integrated view for a smart city implies cross-domain sharing of information [5]. This holistic view for smart city characterizes the meaning of “smart” in the context of “smart city” compared to smartening of particular city domain. On the other hand, the extensive use of digital technologies in various city domains and the diffusion of digital technologies in people’s daily life have boosted human-to-human, human-tomachine, and machine-to-machine interactions which yield massive volumes of data, commonly known as big data which is a mixture of complex data characterized by large and fast growing volumes datasets which go beyond the abilities of commonly known data management systems to accommodate. By analyzing these big data volumes, valuable insights and correlations can be extracted [6]. The process of analyzing big data to extract useful information and insights is usually referred to as big data analytics or big data value chain [6], which is considered as one of the key enabling technologies of smart cities [7, 8, 9].
اگر شما نسبت به این اثر یا عنوان محق هستید، لطفا از طریق "بخش تماس با ما" با ما تماس بگیرید و برای اطلاعات بیشتر، صفحه قوانین و مقررات را مطالعه نمایید.

دیدگاه کاربران


لطفا در این قسمت فقط نظر شخصی در مورد این عنوان را وارد نمایید و در صورتیکه مشکلی با دانلود یا استفاده از این فایل دارید در صفحه کاربری تیکت ثبت کنید.

بارگزاری