- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
The Internet of Things (IoT) is a novel paradigm relying on the interaction of smart objects (things) with each other and with physical and/or virtual resources through the Internet. Despite the recent advances that have made IoT a reality, there are several challenges to be addressed towards exploiting its full potential and promoting tangible benefits to society, environment, economy, and individual citizens. Recently, Cloud Computing has been advocated as a promising approach to tackle some of the existing challenges in IoT while leveraging its adoption and bringing new opportunities. With the combination of IoT and Cloud Computing, the cloud becomes an intermediate layer between smart objects and applications that make use of data and resources provided by these objects. On the one hand, IoT can benefit from the almost unlimited resources of Cloud Computing to implement management and composition of services related to smart objects and their provided data. On the other hand, the cloud can benefit from IoT by broadening its operation scope to deal with real-world objects. In spite of this synergy, the literature still lacks of a broad, comprehensive overview on what has been investigated on the integration of IoT and Cloud Computing and what are the open issues to be addressed in future research and development. The goal of this work is to fill this gap by systematically collecting and analyzing studies available in the literature aiming to: (i) obtain a comprehensive understanding on the integration of IoT and Cloud Computing paradigms; (ii) provide an overview of the current state of research on this topic; and (iii) identify important gaps in the existing approaches as well as promising research directions. To achieve this goal, a systematic mapping study was performed covering papers recently published in journals, conferences, and workshops, available at five relevant electronic databases. As a result, 35 studies were selected presenting strategies and solutions on how to integrate IoT and Cloud Computing as well as scenarios, research challenges, and opportunities in this context. Besides confirming the increasing interest on the integration of IoT and Cloud Computing, this paper reports the main outcomes of the performed systematic mapping by both presenting an overview of the state of the art on the investigated topic and shedding light on important challenges and potential directions to future research.
The IoT paradigm has increasingly received attention from both 1006 academia and industry as a key enabler for the emergence of new applications and systems with a significant influence in the daily lives of human beings. Recently, we have witnessed the conver- gence of this paradigm with Cloud Computing largely motivated by the need of IoT infrastructures and applications to be enhanced in terms of computational resources, scalability, and performance. Furthermore, the cloud arises as a promising solution to overcome or alleviate several challenges faced by the IoT paradigm, which is essentially characterized by heterogeneous physical devices with technological constraints. In spite of this synergy, the literature still lacks of a wide, comprehensive overview on what has been investi- gated on the integration of IoT and Cloud Computing and the open issues in this context. To tackle this gap, we have performed a sys- tematic mapping study aimed to provide a broad panorama of the current state of the art on this topic and identify important chal- lenges that can give directions for future research. We have ana- lyzed 35 primary studies retrieved from five major electronic Com- puter Science and Engineering publication databases in order to: (i) obtain a comprehensive understanding on the convergence of IoT and Cloud Computing; (ii) identify what has been investigated in this context; (iii) understand how and to which extent IoT and Cloud Computing have been effectively integrated; and (iv) charac- terize the proposed solutions comprising the integration of IoT and Cloud Computing.