دانلود رایگان مقاله انگلیسی نقش تحلیلی کلان داده در اینترنت اشیا - الزویر 2017

عنوان فارسی
نقش تحلیلی کلان داده در اینترنت اشیا
عنوان انگلیسی
The role of big data analytics in Internet of Things
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
22
سال انتشار
2017
نشریه
الزویر - Elsevier
فرمت مقاله انگلیسی
PDF
نوع مقاله
ISI
نوع نگارش
مقالات پژوهشی (تحقیقاتی)
رفرنس
دارد
پایگاه
اسکوپوس
کد محصول
E10659
رشته های مرتبط با این مقاله
مهندسی فناوری اطلاعات
گرایش های مرتبط با این مقاله
اینترنت و شبکه های گسترده، مدیریت سیستم های اطلاعات
مجله
شبکه های کامپیوتری - Computer Networks
دانشگاه
The Centre for Mobile Cloud Computing Research - Faculty of Computer Science and Information Technology - University of Malaya - Malaysia
کلمات کلیدی
اینترنت اشیا، کلان داده، تحلیلی، محاسبات توزیع، شهر هوشمند
doi یا شناسه دیجیتال
http://dx.doi.org/10.1016/j.comnet.2017.06.013
چکیده

Abstract


The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption only reflect how the growth of big data perfectly overlaps with that of IoT. The management of big data in a continuously expanding network gives rise to non-trivial concerns regarding data collection efficiency, data processing, analytics, and security. To address these concerns, researchers have examined the challenges associated with the successful deployment of IoT. Despite the large number of studies on big data, analytics, and IoT, the convergence of these areas creates several opportunities for flourishing big data and analytics for IoT systems. In this paper, we explore the recent advances in big data analytics for IoT systems as well as the key requirements for managing big data and for enabling analytics in an IoT environment. We taxonomized the literature based on important parameters. We identify the opportunities resulting from the convergence of big data, analytics, and IoT as well as discuss the role of big data analytics in IoT applications. Finally, several open challenges are presented as future research directions.

نتیجه گیری

CONCLUSION


IoT is one of the biggest sources of big data, which are rendered useless without analytics power. IoT interacts with big data when voluminous amounts of data are needed to be processed, transformed, and analyzed in high frequency. This work specifically focuses on the big data context. First, we investigate the recent literature on big data processing and analytics solutions for IoT. Second, we identify the numerous requirements for big data and analytics in IoT. Third, we taxonomized the literature. Fourth, we determine the various opportunities that are brought about by big data. Fifth, we highlight the role of data analytics in IoT applications. Sixth, we present the open research challenges that must be addressed in the future. Seventh, we conclude that the existing big data solutions in the IoT paradigm are still in their infancy and the challenges associated with them must be solved in the future.


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