Analytical models for availability evaluation of edge and fog computing nodes

Pereira, Paulo; Araújo, Jean; Melo, Carlos; Santos, Vinícius Carrião dos; Maciel, Paulo

doi:10.1007/s11227-021-03672-0

Cited by 28 publications

(13 citation statements)

References 37 publications

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“…Step 2: Start the loop: obtain the most suitable data according to the ant colony algorithm theory, send out the accounting service task submission signal, update the global pheromone by using the formula (6), and analyze whether to implement the task. If the accounting service task is completed, end it.…”

Section: Intermediate Data Fault Tolerance Technology Based On the An...mentioning

confidence: 99%

“…Realize the rationalization mechanism of data collection-benefit judgment-fault-tolerant processing, data analysis model, and interactive platform to provide scientific and effective help for enterprise benefit decision-making. At present, the analysis model of node availability evaluation can deal with the reasonable fault tolerance between data storage nodes, but the evaluation is subjective [6]. For the analysis of data storage risk, the sensitivity ranking of the hierarchical model [7] can also be applied in the enterprise to deal with service data problems, but it is still a difficult problem to be solved to put the fault tolerance in an acceptable range.…”

Section: Introductionmentioning

confidence: 99%

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Intermediate data fault-tolerant method of cloud computing accounting service platform supporting cost-benefit analysis

Jin

Zhang

2023

J Cloud Comp

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This study mainly aims at the intermediate data fault-tolerant method of cloud computing accounting service platform supporting cost-benefit analysis, which aims at providing cost-benefit analysis function for the platform and strengthening the fault-tolerant ability of the intermediate data of the platform. The invention discloses a method for constructing an enterprise cloud computing accounting service platform. Collect the internal and external accounting service system data of an enterprise by using an accounting service platform network environment provided by a cloud service provider. Transmit the data to a data processing and storage layer data warehouse for storage after data cleaning, extraction and processing. Then, call the collected data through the data processing and storage layer to analyze the transaction cost-benefit of the enterprise. The intermediate data fault-tolerant model is constructed. After being solved by the ant colony algorithm, the intermediate data generated in the process of cost-benefit analysis and other accounting services are fault-tolerant processed. Finally, the platform accounting service results are output to the interactive interface through the data output display layer. The highest data availability probability of the method proposed in this study is 0. 98, which indicates that the method has high data availability after fault-tolerant processing, and can effectively realize the interaction with users. The experimental analysis shows that the method proposed in this study can effectively analyze the transaction costs and benefits of enterprises. The probability of data availability after fault-tolerant processing is higher, and a load of reading and writing is lower.

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Section: Intermediate Data Fault Tolerance Technology Based On the An...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Intermediate data fault-tolerant method of cloud computing accounting service platform supporting cost-benefit analysis

Jin

Zhang

2023

J Cloud Comp

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“…ubiquitously in a distributed manner. Instead of contacting the centralized cloud, fog enables the client devices to utilize its resource pool at the edge of the network with the scalability characteristics in ever-increasing IoT and mobile devices [24][25][26].…”

Section: Advantages Of Fogmentioning

confidence: 99%

An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression

Bukhari

Ghazal

Abbas

et al. 2022

Computational Intelligence and Neuroscience

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Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of computing. Applications with a large number of growing devices have transformed the current design of centralized cloud impractical. Despite the use of 5G technology, delay-sensitive applications and cloud cannot go parallel due to exceeding threshold values of certain parameters like latency, bandwidth, response time, etc. Middleware proves to be a better solution to cope up with these issues while satisfying the high requirements task offloading standards. Fog computing is recommended middleware in this research article in view of the fact that it provides the services to the edge of the network; delay-sensitive applications can be entertained effectively. On the contrary, fog nodes contain a limited set of resources that may not process all tasks, especially of computation-intensive applications. Additionally, fog is not the replacement of the cloud, rather supplement to the cloud, both behave like counterparts and offer their services correspondingly to compliance the task needs but fog computing has relatively closer proximity to the devices comparatively cloud. The problem arises when a decision needs to take what is to be offloaded: data, computation, or application, and more specifically where to offload: either fog or cloud and how much to offload. Fog-cloud collaboration is stochastic in terms of task-related attributes like task size, duration, arrival rate, and required resources. Dynamic task offloading becomes crucial in order to utilize the resources at fog and cloud to improve QoS. Since this formation of task offloading policy is a bit complex in nature, this problem is addressed in the research article and proposes an intelligent task offloading model. Simulation results demonstrate the authenticity of the proposed logistic regression model acquiring 86% accuracy compared to other algorithms and confidence in the predictive task offloading policy by making sure process consistency and reliability.

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“…Santos et al [26] proposed using a multi-objective optimization algorithm, NSGA-II, in combination with stochastic models, to optimize the system availability of a fog-cloud based IoT for healthcare. Pereira et al [27] in their most recent work proposed comprehensive continuous time Markov chain (CTMC) models to investigate the availability of fog/edge computing nodes for drone-based facial recognition security systems. Only two recent works [2,28] presented comprehensive studies on the performance assessment of IoT-based healthcare systems with a consideration of the integration of cloud/fog/edge computing paradigms using M/M/c/K queuing network models for pure performance evaluation.…”

Section: Literature Reviewmentioning

confidence: 99%

Performability Evaluation of Load Balancing and Fail-over Strategies for Medical Information Systems with Edge/Fog Computing Using Stochastic Reward Nets

Nguyen

Fé

Brito

et al. 2021

Sensors

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The aggressive waves of ongoing world-wide virus pandemics urge us to conduct further studies on the performability of local computing infrastructures at hospitals/medical centers to provide a high level of assurance and trustworthiness of medical services and treatment to patients, and to help diminish the burden and chaos of medical management and operations. Previous studies contributed tremendous progress on the dependability quantification of existing computing paradigms (e.g., cloud, grid computing) at remote data centers, while a few works investigated the performance of provided medical services under the constraints of operational availability of devices and systems at local medical centers. Therefore, it is critical to rapidly develop appropriate models to quantify the operational metrics of medical services provided and sustained by medical information systems (MIS) even before practical implementation. In this paper, we propose a comprehensive performability SRN model of an edge/fog based MIS for the performability quantification of medical data transaction and services in local hospitals or medical centers. The model elaborates different failure modes of fog nodes and their VMs under the implementation of fail-over mechanisms. Sophisticated behaviors and dependencies between the performance and availability of data transactions are elaborated in a comprehensive manner when adopting three main load-balancing techniques including: (i) probability-based, (ii) random-based and (iii) shortest queue-based approaches for medical data distribution from edge to fog layers along with/without fail-over mechanisms in the cases of component failures at two levels of fog nodes and fog virtual machines (VMs). Different performability metrics of interest are analyzed including (i) recover token rate, (ii) mean response time, (iii) drop probability, (iv) throughput, (v) queue utilization of network devices and fog nodes to assimilate the impact of load-balancing techniques and fail-over mechanisms. Discrete-event simulation results highlight the effectiveness of the combination of these for enhancing the performability of medical services provided by an MIS. Particularly, performability metrics of medical service continuity and quality are improved with fail-over mechanisms in the MIS while load balancing techniques help to enhance system performance metrics. The implementation of both load balancing techniques along with fail-over mechanisms provide better performability metrics compared to the separate cases. The harmony of the integrated strategies eventually provides the trustworthiness of medical services at a high level of performability. This study can help improve the design of MIS systems integrated with different load-balancing techniques and fail-over mechanisms to maintain continuous performance under the availability constraints of medical services with heavy computing workloads in local hospitals/medical centers, to combat with new waves of virus pandemics.

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Analytical models for availability evaluation of edge and fog computing nodes

Cited by 28 publications

References 37 publications

Intermediate data fault-tolerant method of cloud computing accounting service platform supporting cost-benefit analysis

Intermediate data fault-tolerant method of cloud computing accounting service platform supporting cost-benefit analysis

An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression

Performability Evaluation of Load Balancing and Fail-over Strategies for Medical Information Systems with Edge/Fog Computing Using Stochastic Reward Nets

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