A Fault-Tolerant Agent-Based Architecture for Transient Servers in Fog Computing

Neto, José Pergentino de Araújo; Pianto, Donald M.; Ralha, Célia Ghedini

doi:10.1109/cahpc.2018.8645859

Cited by 2 publications

(2 citation statements)

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“…Another fault tolerance technology used to enhance reliability, called checkpointing and retry, has been used by Neto et al (2018). The checkpoint technique performs interval checkpoints which the system can roll back to when a failure occurs.…”

Section: Fault Tolerance Techniquesmentioning

confidence: 99%

“…The retry technique restarts request executing from the last checkpoint. In their presented work, Neto et al (2018) designed an agent-based architecture to predict price changes for virtual machine services with transient servers offered by Amazon AWS supported by machine learning. They used real data provided by Amazon AWS of price changes in 12 months.…”

Section: Fault Tolerance Techniquesmentioning

confidence: 99%

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Dependability in fog computing: Challenges and solutions

Alraddady¹

2021

Int. j. adv. appl. sci.

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The tremendous increase in IoT devices and the amount of data they produced is very expensive to be processed at cloud data centers. Therefore, fog computing was introduced in 2012 by Cisco as a decentralized computing environment that is considered to be more efficient in handling such a plethora in the number of requests. Fog computing is a distributed computing paradigm that focuses on bringing data processing at the network peripheral to reduce response time and increase the quality of service. Dependability challenges of such distributed and heterogeneous computing environments are considered in this paper. Because fog computing is a new computing paradigm, several studies have been presented to tackle its challenges and issues. However, dependability in specific did not receive much attention. In the paper, we explore several solutions to increase dependability in fog computing such as fault tolerance techniques, placement policies, middleware, and data management mechanisms aiming to help system designers choose the most appropriate solution.

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Section: Fault Tolerance Techniquesmentioning

confidence: 99%

Section: Fault Tolerance Techniquesmentioning

confidence: 99%