Cloud of Things: Integration of IoT with Cloud Computing

Aazam, Mohammad; Huh, Eui Nam; St-Hilaire, Marc; Lung, Chung Horng; Lambadaris, Ioannis

doi:10.1007/978-3-319-22168-7_4

Cited by 53 publications

(25 citation statements)

References 38 publications

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“…Ahmed et al [31] and Beck et al [15] discussed the taxonomy and key attributes of mobile edge computing. Azam et al presented an article focusing on IoT and Cloud of Things (CoTs) [32]. The authors presented some of the potentials of the fog computing specifically considering the CoTs, i.e., amalgamation of IoTs and cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

et al. 2018

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Advancements in smart devices, wearable gadgets, sensors, and communication paradigm have enabled the vision of smart cities, pervasive healthcare, augmented reality and interactive multimedia, Internet of Every Thing (IoE), and cognitive assistance, to name a few. All of these visions have one thing in common, i.e., delay sensitivity and instant response. Various new technologies designed to work at the edge of the network, such as fog computing, cloudlets, mobile edge computing, and micro data centers have emerged in the near past. We use the name "edge computing" for this set of emerging technologies. Edge computing is a promising paradigm to offer the required computation and storage resources with minimal delays because of "being near" to the users or terminal devices. Edge computing aims to bring cloud resources and services at the edge of the network, as a middle layer between end user and cloud data centers, to offer prompt service response with minimal delay. Two major aims of edge computing can be denoted as: (a) minimize response delay by servicing the users' request at the network edge instead of servicing it at far located cloud data centers, and (b) minimize downward and upward traffic volumes in the network core. Minimization of network core traffic inherently brings energy efficiency and data cost reductions. Downward network traffic can be minimized by servicing set of users at network edge instead of service provider's data centers (e.g., multimedia and shared data) Content Delivery Networks (CDNs), and upward traffic can be minimized by processing and filtering raw data (e.g., sensors monitored data) and uploading the processed information to cloud. This survey presents a detailed overview of potentials, trends, and challenges of edge computing. The survey illustrates a list of most significant applications and potentials in the area of edge computing. State of the art literature on edge computing domain is included in the survey to guide readers towards the current trends and future opportunities in the area of edge computing.

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Section: Introductionmentioning

confidence: 99%

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

et al. 2018

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“…Several works on sensor networks have noted that the data collected by sensors is highly redundant [142]. Reducing data redundancy could be achieved using some dimensionality reduction algorithms like principal component analysis (PCA) or by using a smart gateway for the sensor network, which aggregates the data collected by the network before sending to the remote server [143]. This would reduce the transmission load on the cellular network as well as the processing and storage load on the server.…”

Section: Intelligent Processing and Storagementioning

confidence: 99%

5G roadmap: 10 key enabling technologies

et al. 2016

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“…Similar frameworks include: monitoring systems for chronic diseases such as cardiovascular and respiratory diseases through IoT sensors [54], mobile healthcare systems for patient monitoring using big data analytics applied on sensor data [55], [56], heterogeneous healthcare big data analytics system for decision making in risk management and patient care [57]. The cloud can also be deployed to process and manage the IoT data online [58], [59]. Dehury et al implemented a cloud-based service management framework for analyzing real-time IoT data [60].…”

Section: State-of-the-art Of Ioht Frameworkmentioning

confidence: 99%

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

Asif-Ur-Rahman

Afsana

Mahmud

et al. 2019

IEEE Internet Things J.

180

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Rapid developments in the fields of information and communication technology and microelectronics allowed seamless interconnection among various devices letting them to communicate with each other. This technological integration opened up new possibilities in many disciplines including healthcare and well-being. With the aim of reducing healthcare costs and providing improved and reliable services, several healthcare frameworks based on Internet of Healthcare Things (IoHT) have been developed. However, due to the critical and heterogeneous nature of healthcare data, maintaining high quality of service (QoS) -in terms of faster responsiveness and data-specific complex analytics -has always been the main challenge in designing such systems. Addressing these issues, this paper proposes a five-layered heterogeneous mist, fog, and cloud based IoHT framework capable of efficiently handling and routing (near-)real-time as well as offline/batch mode data. Also, by employing software defined networking and link adaptation based load balancing, the framework ensures optimal resource allocation and efficient resource utilization. The results, obtained by simulating the framework, indicate that the designed network via its various components can achieve high QoS, with reduced end-to-end latency and packet drop rate, which is essential for developing next generation e-healthcare systems.

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Cloud of Things: Integration of IoT with Cloud Computing

Cited by 53 publications

References 38 publications

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers

5G roadmap: 10 key enabling technologies

Toward a Heterogeneous Mist, Fog, and Cloud-Based Framework for the Internet of Healthcare Things

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