Fog Computing: principles, architectures, and applications

Dastjerdi, Amir Vahid; Gupta, Harshit; Calheiros, Rodrigo N.; Ghosh, Soumya K.; Buyya, Rajkumar

doi:10.1016/b978-0-12-805395-9.00004-6

Cited by 409 publications

(244 citation statements)

References 16 publications

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“…Data in the Cloud can be mined and/or big-data analysis can be performed. In case of an emergency, Fog can directly take decisions without latency [42,43].…”

Section: Cloudmentioning

confidence: 99%

Managing Crowds with Wireless and Mobile Technologies

Yamin

Basahel

Sen

2018

Wireless Communications and Mobile Computing

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Thousands of people have lost their lives in stampedes and other crowd related disasters in recent years. Most of these fatalities seem to have been caused by poor control and management of crowds, which is discussed in this article. An efficient and effective crowd management system must also have a plan to deal with the ongoing threat of terrorism and outbreak of various kinds of communicable diseases. In this article, we present a framework of a Crowd Control and Health Management System specially designed to prevent and manage stampedes and other disasters. The system has two subsystems; one for dealing with the management of stampedes and other disasters and the other with healthcare management. As part of the proposed system, an algorithm for an early detection of stampedes, with proof and simulation of implementation, is provided. As part of the healthcare management subsystem, we integrate several mobile applications and develop four of them dealing with relief issues, blood donations, complaints and alerts, and utilizing mobile phones as a sensor device. Our system makes use of various kinds of wireless, mobile, and other technologies and tools including Fog Computing, Smart Phones, Smart Digital Street, IP-Cameras, Radio Frequency Identification (RFID), Voice Alarm, Light Alarm, and Global Positioning System (GPS). We compare merits and effectiveness of RFID and Wireless Sensor Networks (WSNs), as well as those of Cloud and Fog with a view of using them as part of the proposed framework. We also discuss applications of our systems in real-life cases of Hajj, an annual pilgrimage of millions of people to Mecca, and Kumbh Mela, a periodic gathering of tens of millions of people in India, both of which have accounted for the majority of fatalities in stampedes and other disasters.

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“…Data in the Cloud can be mined and/or big-data analysis can be performed. In case of an emergency, Fog can directly take decisions without latency [42,43].…”

Section: Cloudmentioning

confidence: 99%

Managing Crowds with Wireless and Mobile Technologies

Yamin

Basahel

Sen

2018

Wireless Communications and Mobile Computing

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“…The system divides the fall detection task between the edge/ fog devices and the cloud in order to achieve a high sensitivity and specificity while enhancing the efficiency and reliability of the system operations. More on fog computing principles, architectures, and applications for telehealth is reviewed in [19].…”

Section: Edge/fog Computingmentioning

confidence: 99%

Analytics and Telehealth Emerging Technologies: The Path Forward for Smart Primary Care Environment

AbuKhousa¹

2017

J Healthc Commun

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The increasing global health expenditure positions primary care to use digital health technologies to manage chronic disease and deliver cost-effective personalized and preventive care. In this paper, we review the recent advancements in telehealth and big data technologies that have the potentials to move primary care services to smart environments. We adopt the smart environment concept to propose our conceptual model for a Smart Primary Care Environment (SPCE). We also identify challenges and key factors for a successful realization of the model in the future.

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“…In addition, it enhances the quality of services (QoS) for end users. These features make the fog an ideal platform for the IoTs [5].…”

Section: Introductionmentioning

confidence: 99%

Attribute-Based Secure Data Sharing with Efficient Revocation in Fog Computing

Alotaibi¹,

Barnawi²,

Buhari³

2017

JIS

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Fog computing is a concept that extends the paradigm of cloud computing to the network edge. The goal of fog computing is to situate resources in the vicinity of end users. As with cloud computing, fog computing provides storage services. The data owners can store their confidential data in many fog nodes, which could cause more challenges for data sharing security. In this paper, we present a novel architecture for data sharing in a fog environment. We explore the benefits of fog computing in addressing one-to-many data sharing applications. This architecture sought to outperform the cloud-based architecture and to ensure further enhancements to system performance, especially from the perspective of security. We will address the security challenges of data sharing, such as fine-grained access control, data confidentiality, collusion resistance, scalability, and the issue of user revocation. Keeping these issues in mind, we will secure data sharing in fog computing by combining attributebased encryption and proxy re-encryption techniques. Findings of this study indicate that our system has the response and processing time faster than classical cloud systems. Further, experimental results show that our system has an efficient user revocation mechanism, and that it provides high scalability and sharing of data in real time with low latency.

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Fog Computing: principles, architectures, and applications

Cited by 409 publications

References 16 publications

Managing Crowds with Wireless and Mobile Technologies

Managing Crowds with Wireless and Mobile Technologies

Analytics and Telehealth Emerging Technologies: The Path Forward for Smart Primary Care Environment

Attribute-Based Secure Data Sharing with Efficient Revocation in Fog Computing

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