Dependable Fog Computing: A Systematic Literature Review

Bakhshi, Zeinab; Rodríguez-Navas, Guillermo; Hansson, Hans

doi:10.1109/seaa.2019.00066

Cited by 21 publications

(12 citation statements)

References 36 publications

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“…A notable flaw with fog computing is that its fault tolerance level has not been extensively studied. The only results available on fault tolerance for fog computing in the current literature are for node failures [99]. This flaw could be resolved by implementing fog computing into Blockchain, by partitioning fog node clusters using fog nodes within a Blockchain [100].…”

Section: Fog Computingmentioning

confidence: 99%

Blockchain for decentralization of internet: prospects, trends, and challenges

et al. 2021

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Blockchain has made an impact on today’s technology by revolutionizing the financial industry through utilization of cryptocurrencies using decentralized control. This has been followed by extending Blockchain to span several other industries and applications for its capabilities in verification. With the current trend of pursuing the decentralized Internet, many methods have been proposed to achieve decentralization considering different aspects of the current Internet model ranging from infrastructure and protocols to services and applications. This paper investigates Blockchain’s capacities to provide a robust and secure decentralized model for Internet. The paper conducts a critical review on recent Blockchain-based methods capable for the decentralization of the future Internet. We identify and investigate two research aspects of Blockchain that provides high impact in realizing the decentralized Internet with respect to current Internet and Blockchain challenges while keeping various design in considerations. The first aspect is the consensus algorithms that are vital components for decentralization of the Blockchain. We identify three key consensus algorithms including PoP, Paxos, and PoAH that are more adequate for reaching consensus for such tremendous scale Blockchain-enabled architecture for Internet. The second aspect that we investigated is the compliance of Blockchain with various emerging Internet technologies and the impact of Blockchain on those technologies. Such emerging Internet technologies in combinations with Blockchain would help to overcome Blockchain’s established flaws in a way to be more optimized, efficient and applicable for Internet decentralization.

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Section: Fog Computingmentioning

confidence: 99%

Blockchain for decentralization of internet: prospects, trends, and challenges

et al. 2021

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“…Regarding studies that present definitions on dependability and trustworthiness, some papers explore the state of the art and definitions [9], [42], [43], [56][57][58][59][60][61][62][63]. We also found surveys on trustworthiness [64][65][66][67][68] and dependability [69] and a systematic literature review (SLR) on dependability [70].…”

Section: ) Conceptualmentioning

confidence: 99%

“…In computer systems, a failure represents an unexpected behavior. In the IoT data domain, it is possible to exemplify some of these behaviors as data integrity loss due to semantic/syntactic vulnerabilities, packet loss due to network interference or connection loss between fog nodes [70], and data loss caused by network exhaustion or device memory overflow.…”

Section: ) Fault Managementmentioning

confidence: 99%

A Survey on Trustworthiness for the Internet of Things

Ribeiro

Kamienski

2021

IEEE Access

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IoT systems use sensors to collect data from smart environments and manage resources through data analysis. An IoT system deals with many connected devices with different network and hardware constraints in a real-world scenario. An IoT system needs to handle low-latency data analysis, security threats, internal vulnerabilities, and network disconnections, which cause data loss and incorrect decisions. Trustworthiness (also known as dependability) provides various features for an IoT end-to-end data flow, such as resilience, security, availability, reliability, scalability, maintainability, heterogeneity, hardware resources management, fault management policies, and data quality. This paper presents a survey on trustworthiness and dependability in IoT systems and proposes the Trustworthiness for IoT Framework (TW-IoT) to provide trustworthiness at the data level for mist and fog-based IoT systems. The TW-IoT framework provides data trustworthiness to ensure a continuous and uninterrupted operation of IoT data flow. We also discuss challenges and trade-offs related to data trustworthiness in IoT.

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“…The proposed dependability solutions are mainly tied to redundancy methods and replication techniques, for instance, using passive/ active replicas of the system components. However, using replicas for each component will result in overhead of cost and consumption of resources [59], and it can also impact the scalability of the overall system. Therefore, we need further research to improve the system dependability.…”

Section: E Dependability and Safetymentioning

confidence: 99%

Enabling Fog-based Industrial Robotics Systems

Shaik

Struhár

Bakhshi

et al. 2020

2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

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Low latency and on demand resource availability enable fog computing to host industrial applications in a cloud like manner. One industrial domain which stands to benefit from the advantages of fog computing is robotics. However, the challenges in developing and implementing a fog-based robotic system are manifold. To illustrate this, in this paper we discuss a system involving robots and robot cells at a factory level, and then highlight the main building blocks necessary for achieving such functionality in a fog-based system. Further, we elaborate on the challenges in implementing such an architecture, with emphasis on resource virtualization, memory interference management, real-time communication and the system scalability, dependability and safety. We then discuss the challenges from a system perspective where all these aspects are interrelated.

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Dependable Fog Computing: A Systematic Literature Review

Cited by 21 publications

References 36 publications

Blockchain for decentralization of internet: prospects, trends, and challenges

Blockchain for decentralization of internet: prospects, trends, and challenges

A Survey on Trustworthiness for the Internet of Things

Enabling Fog-based Industrial Robotics Systems

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