Cloud computing, reliability and security issue

Ghobadi, Alireza; Karimi, Roozbeh; Heidari, Farnaz; Samadi, Masoud

doi:10.1109/icact.2014.6779012

Cited by 8 publications

(3 citation statements)

References 17 publications

(26 reference statements)

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“…On the other hand, the first advantage of using a traditional database is the speed you can up/download data to the server [125]. Having a local server on-site can also increase security because only the organisation can access it physically and digitally [125]. In addition, the companies have total control over the system setup, to make sure it fits their exact needs.…”

Section: Data Storage-the Storage Layermentioning

confidence: 99%

A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies

et al. 2022

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Continuous monitoring of food loss and waste (FLW) is crucial for improving food security and mitigating climate change. By measuring quality parameters such as temperature and humidity, real-time sensors are technologies that can continuously monitor the quality of food and thereby help reduce FLW. While there is enough literature on sensors, there is still a lack of understanding on how, where and to what extent these sensors have been applied to monitor FLW. In this paper, a systematic review of 59 published studies focused on sensor technologies to reduce food waste in food supply chains was performed with a view to synthesising the experience and lessons learnt. This review examines two aspects of the field, namely, the type of IoT technologies applied and the characteristics of the supply chains in which it has been deployed. Supply chain characteristics according to the type of product, supply chain stage, and region were examined, while sensor technology explores the monitored parameters, communication protocols, data storage, and application layers. This article shows that, while due to their high perishability and short shelf lives, monitoring fruit and vegetables using a combination of temperature and humidity sensors is the most recurring goal of the research, there are many other applications and technologies being explored in the research space for the reduction of food waste. In addition, it was demonstrated that there is huge potential in the field, and that IoT technologies should be continually explored and applied to improve food production, management, transportation, and storage to support the cause of reducing FLW.

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Section: Data Storage-the Storage Layermentioning

confidence: 99%

A Systematic Review of Real-Time Monitoring Technologies and Its Potential Application to Reduce Food Loss and Waste: Key Elements of Food Supply Chains and IoT Technologies

et al. 2022

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“…There are many kinds of reliability threats that cloud platforms need to face. 4 According to the source of threats, we classify them into two categories: external threats and intrinsic threats. External threats include electric failures, system overload, system misconfiguration, security threats and attacks, and natural disasters (e.g.…”

Section: Introductionmentioning

confidence: 99%

Quantitative evaluation of fault propagation in a commercial cloud system

Wang

2020

International Journal of Distributed Sensor Networks

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As semiconductor technology scales into the nano regime, hardware faults have been threats against computational devices. Cloud systems are incorporating more and more computing density and energy into themselves; thus, fundamental research on topics such as dependability validation is needed, in order to verify the robustness of clouds for sensor networks. However, dependability evaluation studies have often been carried out beyond isolated physical systems, such as processors, sensors, and single boards with or without operating system hosts. These studies have been performed using inaccurate simulations instead of validating complete cloud software stacks (firmware, hypervisor, operating system hosts and workloads) as a whole. In this article, we describe the implementation of a fault injection tool, which validates the dependability of a commercial cloud software stack. Hardware faults induced by high energy density environments can be injected; the fault propagation through the cloud software stack is traced, and quantitatively evaluated. Experimental results show that the integrated fault detection mechanism of the cloud system, such as fatal trap detectors, has left a detection margin of 20% silent data corruption to narrow down. We additionally propose two detection mechanisms, which proved good performance in fault detection of cloud systems.

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“…Low security, insured privacy and data confidentiality are the most fundamentals concerns when using services in the cloud [2].…”

Section: Introductionmentioning

confidence: 99%