Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health

Barik, Rabindra K.; Dubey, Amaresh Chandra; Tripathi, Ankita; Pratik, Tanjappa; Sasane, Sapna; Lenka, Rakesh Kumar; Dubey, Harishchandra; Mankodiya, Kunal; Kumar, Vinay

doi:10.1016/j.procs.2017.12.083

Cited by 52 publications

(15 citation statements)

References 19 publications

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“…The advantage of this paradigm is that the sensor data is close to its source and avoid sharing across the network except if required unequivocally. Barik et al [11] have proposed a prototype development of SOA-Mist a Mist-based framework to provides an efficient and effective means of sharing geospatial health data resources. The framework integrates: (1) a security integration based on SSL which ensure integrity of service; (2) a database security, which ensures the availability of data for authenticated users.…”

Section: Related Workmentioning

confidence: 99%

A New Edge Computing Architecture for IoT and Multimedia Data Management

2022

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The Internet of Things and multimedia devices generate a tremendous amount of data. The transfer of this data to the cloud is a challenging problem because of the congestion at the network level, and therefore processing time could be too long when we use a pure cloud computing strategy. On the other hand, new applications requiring the processing of large amounts of data in real time have gradually emerged, such as virtual reality and augmented reality. These new applications have gradually won over users and developed a demand for near real-time interaction of their applications, which has completely called into question the way we process and store data. To address these two problems of congestion and computing time, edge architecture has emerged with the goal of processing data as close as possible to users, and to ensure privacy protection and responsiveness in real-time. With the continuous increase in computing power, amounts of memory and data storage at the level of smartphone and connected objects, it is now possible to process data as close as possible to sensors or directly on users devices. The coupling of these two types of processing as close as possible to the data and to the user opens up new perspectives in terms of services. In this paper, we present a new distributed edge architecture aiming to process and store Internet of Things and multimedia data close to the data producer, offering fast response time (closer to real time) in order to meet the demands of modern applications. To do this, the processing at the level of the producers of data collaborate with the processing ready for the users, establishing a new paradigm of short supply circuit for data transmission inspired of short supply chains in agriculture. The removing of unnecessary intermediaries between the producer and the consumer of the data improves efficiency. We named this new paradigm the Short Supply Circuit Internet of Things (SSCIoT).

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Section: Related Workmentioning

confidence: 99%

A New Edge Computing Architecture for IoT and Multimedia Data Management

2022

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“…The authors in [ 29 ] proposed an efficient and secure mist computing framework that ensures the requirements of a recently released public geospatial heath data set. The aim of the model is to enhance the security features with the help of mist nodes for effective management of geospatial health data.…”

Section: Related Workmentioning

confidence: 99%

Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications

Ejaz

Kumar

Kovacevic

et al. 2021

Sensors

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The rapid evolution of technology allows the healthcare sector to adopt intelligent, context-aware, secure, and ubiquitous healthcare services. Together with the global trend of an aging population, it has become highly important to propose value-creating, yet cost-efficient digital solutions for healthcare systems. These solutions should provide effective means of healthcare services in both the hospital and home care scenarios. In this paper, we focused on the latter case, where the goal was to provide easy-to-use, reliable, and secure remote monitoring and aid for elderly persons at their home. We proposed a framework to integrate the capabilities of edge computing and blockchain technology to address some of the key requirements of smart remote healthcare systems, such as long operating times, low cost, resilience to network problems, security, and trust in highly dynamic network conditions. In order to assess the feasibility of our approach, we evaluated the performance of our framework in terms of latency, power consumption, network utilization, and computational load, compared to a scenario where no blockchain was used.

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“…In paper [28], authors have introduced an algorithm to decide the best infrastructure Cloud, Fog, or Mist based on restriction requirements such as latency. Authors in [29] have suggested the use of Mist Computing to secure the architecture of smart and connected health. Papers [30,31,32,33,34] the Mist Computing paradigm is presented.…”

Section: Architecture Overviewmentioning

confidence: 99%

An MQTT Brokers Distribution Based on Mist Computing for Real-Time IoT Communications

Hmissi

Ouni

2021

Preprint

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As we consider the number of IoT time-sensitive applications , the transfer of data to a remote data center and server such as Cloud, Fog, and Edge becomes inefficient since the deadline constraint is not satisfied. Thus, ensuring that the IoT time-sensitive applications meet their timing constraints is a challenge. Mist Computing is closer to IoT devices, presenting the lowest communication delay but less computational resource than the Cloud, Fog, and Edge. Seeing several IoT devices use MQTT protocol to access the data due to its lightness and flexibility, we propose an architecture for IoT time-sensitive applications based on MQTT protocol and integrating Mist Computing. We focus on distributing the MQTT brokers over Mist nodes to satisfy the deadline constraints with the consideration of the limited resource of Mist nodes. Hence, we propose an approach for the selection of the appropriate MQTT Mist broker. We have also proposed MQTT communication model that provides the M/M/1 based analysis for delay computing and energy conception. The experiment results show that our proposal is very effective for time-sensitive applications and also maximize the lifetime of IoT systems since it minimizes the cumulative energy of the system. Compared to MQTT Edge broker distribution, our solution provides the lesser delay of communication between IoT devices.

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Mist Data: Leveraging Mist Computing for Secure and Scalable Architecture for Smart and Connected Health

Cited by 52 publications

References 19 publications

A New Edge Computing Architecture for IoT and Multimedia Data Management

A New Edge Computing Architecture for IoT and Multimedia Data Management

Health-BlockEdge: Blockchain-Edge Framework for Reliable Low-Latency Digital Healthcare Applications

An MQTT Brokers Distribution Based on Mist Computing for Real-Time IoT Communications

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