Fog Computing and Smart Gateway Based Communication for Cloud of Things

By Mohammad Aazam, Pham Phuoc Hung, Eui-nam Huh. International Conference on Future Internet of Things and Cloud, 2014

632 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aa8a6894735dc32aa7212ab7606ccd6d6e7338b9

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Citations in the corpus

Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures (2016, background): “Since the fog is localized, it provides low-latency communication and more context awareness [17], [20].”
Fog Computing and the Internet of Things: A Review (2018, methodology): “According to Mukherjee et al. [22], Aazam and Huh [11,23] and Muntjir et al. [24], the architecture of fog computing consists of six layers—physical and virtualization, monitoring, pre-processing, temporary storage, security and transport layer—as shown in Figure 2.”
Fog Computing: A Taxonomy, Survey and Future Directions (2016, background): “[23]), a data encryption layer has been included in the proposed Fog node architecture.”
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework (2017, background): “In fog computing, cloud elastic resources are extended to the edge of the network, such as portable devices, smart objects, wireless sensors and other Internet of Things (IoT) devices [5], [11], [13], [14], [109] to decrease latency and network congestion.”
Energy Management-as-a-Service Over Fog Computing Platform (2015, background): “Hence, fog computing has been introduced to alleviate some of the above-mentioned problems [47].”
Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “Some other smart applications, such as smart healthcare [39], smart home [40], smart city [41], big data analytics [42], and software-defined networks [43] also need a bridging point between cloud center and sensors to supporting the efficient services by edge computing.”
Leveraging Fog Computing for Healthcare IoT (2018, background): “This intermediate layer, known as Fog computing or edge computing [13, 14, 15, 16, 17], provides both generic and domain specific services for devices to enhance usability, reliability, performance and scalability among others.”
The impact of the hybrid platform of internet of things and cloud computing on healthcare systems: opportunities, challenges, and open problems (2017, background): “A new platform, called fog computing (Azam and Huh 2014), aims to provide storage, computing, and networking services between CC and end devices.”
Resource Management in Fog/Edge Computing (2018, background): “ause they establish a data path between end users and network providers. Aazam et al. adopted a common gateway to decide whether the received data from IoT devices would be sent to data center clouds [97]. Such smart gateways help in better utilization of network bandwidth. ii. WiFi APs: ParaDrop [8”
Survey on fog computing: architecture, key technologies, applications and open issues (2017, unknown): “The nodes and networks are not always physical, while virtual sensor nodes and virtual sensor networks are also used for implementing various services (Aazam and Huh, 2014).”
Fog computing security: a review of current applications and security solutions (2017, background): “Future challenge: 5 Fog platforms are mainly composed of wireless sensors and IoT devices [132].”
State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing (2016, background): “Notwithstanding, due to IoT limitations, Fog Computing cannot provide functionalities such as complex analysis, data access to large numbers of users and storing historical data, which is complemented with Cloud Computing.”
Fog Computing for Sustainable Smart Cities (2017, methodology): “Further, data synchronization techniques from low end to high end will play a signiﬁcant role in making the sensed data manageable, specially at the high ends of fog computing, where data is expected to be gathered and processed [Aazam and Huh 2014].”
Fog Computing Micro Datacenter Based Dynamic Resource Estimation and Pricing Model for IoT (2015, background): “With increasing number of heterogeneous devices connected to IoT and generating data, it is going to be impossible for a standalone IoT to efficiently perform power and bandwidth hungry tasks.”
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018, background): “This paradigm, which is also called fog or edge computing [13, 14, 15], enables the system to support”
Internet of Things: Architectures, Protocols, and Applications (2017, methodology): “The tasks performed by a smart gateway [46] are collecting sensor data, preprocessing and filtering collected data, providing compute, storage and networking services to IoT devices, communicating with the cloud and sending only necessary data, monitoring power consumption of IoT devices,monitoring ”
Information-Centric Network-Based Vehicular Communications: Overview and Research Opportunities (2018, background): “In this regard, Edge computing, which brings the storage capacity and computational processes near the customers for content retrieval with minimum delays, is integrated with vehicular networks [36].”