Cloud Support Data Management Infrastructure for Upcoming Smart Cities
نویسندگان
چکیده
This paper presents a novel large scale data management model for future smart cities. The system is exploiting the emerging cloud computing services availability over the globe by processing the collected data at the edge. To handle the large scale requirements in smart city, we introduce a Mobile Edge Computing (MEC) framework in order to increase the reliability of the deployed applications. MEC is a promising framework to reduce the cloud core utilization as well as to provide applications that require low latency to mobile end users. As near as possible to the location of the end user, MEC relates to the mobile network applications and data stream acceleration through caching and/or compressing of relevant data at the edge of the mobile network. Although MEC is not yet deployed in real-life systems, recent studies discussed some technical details and related concepts. This paper studies the definition of MEC and similar concepts with respect to typical application scenarios, like in smart cities, and provides scope and limitations that may be encountered when implementing and deploying MEC. Then, a MEC framework is used to explore the data management infrastructure for upcoming smart cities. © 2016 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Conference Program Chairs.
منابع مشابه
Cloud and IoT based Smart Car Parking System by using Mamdani Fuzzy Inference System (MFIS)
Internet of Things (IoT) and cloud computing technologies have connected the infrastructure of the city to make the context-aware and more intelligent city for utility its major resources. These technologies have much potential to solve thechallenges of urban areas around the globe to facilitate the citizens. A framework model that enables the integration of sensor’s data and analysis of ...
متن کاملCloudification of the internet of things
The focus of this special issue is on the Internet of Things (IoT) with particular emphasis on the use of the Cloud as a central component of the IoTarchitecture and a key infrastructural support for IoT applications. With its virtualized infrastructure and software-defined networking substrate, the Cloud is in a good position to provide a flexible and scalable hosting environment for the pleth...
متن کاملA Conceptual Framework for Smart Hospital towards Industry 4.0
Background: The fourth industrial revolution consists of combining network devices with cloud computing methods and analyzing large data and artificial intelligence, which makes it possible to call such an infrastructure smart. In a Smart Hospital, all things and devices are designed to be connected and integrated, thus achieving better patient care, increasing efficiency and reducing time wast...
متن کاملProcessing 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 کاملIntelligent Transportation System (ITS) for Smart-Cities using Mamdani Fuzzy Inference System
It is estimated that more than half of the world population lives in cities according to (UN forecasts, 2014), so cities are vital. Cities, as we all know facing with complex challenges – for smart cities the outdated traditional planning of transportation, environmental contamination, finance management and security observations are not adequate. The developing framework for smart-city require...
متن کامل