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نتیجه جستجو - mobile radio

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Characterizing Flow, Application, and User Behavior in Mobile Networks: A Framework for Mobile Big Data
مشخص کردن جریان، برنامه، و رفتار کاربر در شبکه های سیار:یک چارچوب برای داده های بزرگ سیار-2018
The recent explosion of data traffic calls for specialized systems to monitor the status of networks. Traditionally, Internet service providers collect and analyze IP flow data as they present an aggregated view of traffic. In the era of mobile big data, new approaches are required to address new challenges regarding the flow characterization in the next generation wireless networks. In this article, we propose a framework for mobile big data, referred to as FMBD, which provides massive data traffic collection, storage, processing, analysis, and management functions, to cope with the tremendous amount of data traffic. In particular, by analyzing the specific characteristics of the mobile big data from flow, application, and user behavior, such as high volume, diversity of applications, and spatio-temporal distribution, our proposed FMBD demonstrates its capability to offer real data-based advice to address new challenges for future wireless networks from the viewpoints of both operators and individuals. Tested by real mobile big data, FMBD has been operational for more than five years, and can be generalized to other environments with massive data traffic or big data.
Keywords: Big Data, Internet, IP networks, mobile computing, mobile radio, telecommunication traffic
مقاله انگلیسی
2 Vehicular Content Delivery: A Big Data Perspective
تحویل محتویات خودرو: چشم انداز داده های بزرگ-2018
The appearance of the Internet of Vehicles enables comfort driving experiences and content- rich multimedia services for in-vehicle users. The vehicular network provides specific scenario- centric content delivery services involving data of vehicle status, user behaviors, and environmental features. In this article, we focus on vehicular content delivery from a big data perspective. After a comprehensive review of state-of-the-art works, we elaborate the potential value of big data in vehicular information and content services by introducing several typical application scenarios. According to the data characteristics, we classify the vehicular data into three categories, that is, location-centric, user-centric, and vehicle-centric, and then illustrate an implementation of big data collection and analysis. A real-world big data application in social-based vehicular networks is presented, and simulation results show that the big-data-enabled content delivery strategy can obtain a performance gain of user satisfaction with the delivered contents compared to the case without consideration of social big data. Finally, we conclude the article with several future research topics
Keywords: Big Data, data analysis,Internet, Internet of Things,mobile radio, multimedia communication,social networking (online)
مقاله انگلیسی
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