Reliability prediction and QoS selection for web service composition

Chen, Liping; Ha, Weitao

doi:10.1504/ijcse.2018.10011518

Cited by 6 publications

(1 citation statement)

References 25 publications

(25 reference statements)

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“…This work proposes an SPN model to evaluate the performance of a smart poultry house architecture integrated with Edge, Fog, and Cloud Computing. SPN models are mathematical models based on probability theory used to model and evaluate complex systems [10]. The proposed model allows for assessing Cloud layer utilization, average response time (MRT), discard prob-ability, and system throughput.…”

Section: Introductionmentioning

confidence: 99%

Smart Poultry Supported by Edge-Fog-Cloud Continuum: A Performance Evaluation Using Petri Nets

Barbosa,

Sabino,

Lima

et al. 2023

Preprint

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The Internet of Things (IoT) application in agriculture provides rural poultry farmers with automated tools and decision support systems to increase productivity and profit. The integration of Edge, Fog, and Cloud Computing technologies in this scenario enables real-time data collection, processing, and analysis. This, in turn, empowers poultry farmers to make informed decisions, enhancing production efficiency and ensuring poultry quality. However, when implementing IoT devices, the challenge arises in dealing with a large volume of generated data. Delays in data transfer between the Edge, Fog, and Cloud layers can impact the system's real-time responsiveness. Slowness in the system's responsiveness can compromise performance, especially in poultry monitoring systems, which are time-sensitive, and an error could result in losses. This work proposes a Stochastic Petri Net (SPN) model to analyze the performance of an integrated smart poultry house with Edge, Fog, and Cloud Computing. The proposed model covers the analysis of metrics such as average response time, resource utilization, discard probability, and system throughput. Furthermore, the highly flexible model allows developers and system administrators to calibrate various parameters.

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Section: Introductionmentioning

confidence: 99%

Smart Poultry Supported by Edge-Fog-Cloud Continuum: A Performance Evaluation Using Petri Nets

Barbosa,

Sabino,

Lima

et al. 2023

Preprint

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Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

Santos,

Brito,

Fé

et al. 2024

IEEE Access

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The domain of information security is undergoing significant evolution to address the increasingly complex challenges aimed at bolstering system resilience against attacks. The Moving Target Defense (MTD) methodology, which entails altering the system's configuration-for instance, by relocating virtual machines (VM) or modifying IP addresses-serves to dynamically modify vulnerable components of a system. This strategy effectively disorients potential attackers, complicating their efforts to comprehend or anticipate the system's configuration. Moreover, MTD can be proactively utilized by, for example, relocating VMs from a network segment that has been compromised. Consequently, MTD emerges as a viable approach for mitigating security concerns, particularly within cloud computing frameworks. A critical facet of MTD involves the system migration across different hardware, presenting logistical and strategic challenges that necessitate a thorough evaluation of factors such as operational downtime and the impact on system performance. Analytical models, particularly those based on stochastic Petri nets (SPN), offer a methodological advantage in strategizing MTD implementations by facilitating the assessment of potential outcomes in a non-live environment. This paper proposes an advanced model that extends prior research through the integration of an event-based MTD mechanism, which encompasses both the probability of intrusion detection and the ability to discern potential threats. Through the application of diverse migration initiation policies, this study aims to identify more efficacious strategies under specific conditions. The findings indicate that reliance on event-detection policies is advantageous when the system possesses a detection accuracy exceeding 50%, underscoring the critical role of precise intrusion detection in the efficacy of MTD strategies.

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Predicted Model based on Boltzmann Restricted Machine for Web Services Recommendation

Zohra

Artaa

Asma

et al. 2022

2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)

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Reliability prediction and QoS selection for web service composition

Cited by 6 publications

References 25 publications

Smart Poultry Supported by Edge-Fog-Cloud Continuum: A Performance Evaluation Using Petri Nets

Smart Poultry Supported by Edge-Fog-Cloud Continuum: A Performance Evaluation Using Petri Nets

Event-Based Moving Target Defense in Cloud Computing With VM Migration: A Performance Modeling Approach

Predicted Model based on Boltzmann Restricted Machine for Web Services Recommendation

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