Towards a Cloud Computing Paradigm for Big Data Analysis in Smart Cities
نویسندگان
چکیده
منابع مشابه
Processing IoT Data with Cloud Computing for Smart Cities
A smart city requires the intelligent management of infrastructure like the Internet of Things (IoT) devices in order to provide smart services that improve the quality of human life. To obtain the information needed to implement smart city services, stream reasoning is used to intelligently process the big data stream constantly generated from IoT devices. However, there are constraints associ...
متن کاملTraffic and Transportation Smart with Cloud Computing on Big Data
Now it’s the trend of using cloud computing capacities for the provision and support of ubiquitous connectivity and real-time applications and services for smart cities’ needs. This paper presents the route map of big data relying on cloud computing to make urban traffic and transportation smarter by mining and pattern visualization with literature review and case studies. Although most of thes...
متن کاملSmart Cities, Big Data, and Sustainability Union
Media convergence has changed relationships between existing technologies, industries, markets, and audiences. Smart cities are seen as the logical outcome of media convergence. Big Data form the basis and the output of smart technologies. In the last twenty years, there has been much discussion on smart cities, big data, and the need for sustainability in technological endeavors. This article ...
متن کاملWhen Smart Cities meet Big Data
Sharing information is a key enabler in the transition of a city becoming smart. Information, generated by the ICT backbone of a city, and maintained by distinct public and private entities, comes with processing challenges that must be addressed in order to increase citizens’ quality of life and make their cities sustainable. In CRISALIS and SysSec, we investigate such challenges from a securi...
متن کاملBig data, smart cities and city planning
I define big data with respect to its size but pay particular attention to the fact that the data I am referring to is urban data, that is, data for cities that are invariably tagged to space and time. I argue that this sort of data are largely being streamed from sensors, and this represents a sea change in the kinds of data that we have about what happens where and when in cities. I describe ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Institute for System Programming of the RAS
سال: 2016
ISSN: 2079-8156,2220-6426
DOI: 10.15514/ispras-2016-28(6)-9