A Model for Availability and Security Risk Evaluation for Systems With VMM Rejuvenation Enabled by VM Migration Scheduling

Torquato, Matheus; Maciel, Paulo; Vieira, Marco

doi:10.1109/access.2019.2943273

Cited by 15 publications

(6 citation statements)

References 29 publications

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“…and the repair time follows a Weibull distribution with repair rate ν(x) = 50x, where the parameter values α 0 , α 1 , β used are based on the experimental studies, ν(x) is set by ourselves according to the values in references [43,44]. Let impulse action occur in t 1 = 1, t 2 = 3, t 3 = 6, t 4 = 8, which implies that the impulse lower bound τ 1 = 1 and impulse upper bound τ 2 = 3, then the instantaneous availability of system (3) and its range for the impulse strength θ = 0.8 are depicted in Figure 3.…”

Section: Numerical Examplesmentioning

confidence: 99%

Dynamic Analysis of Software Systems with Aperiodic Impulse Rejuvenation

Huo

Chen

2022

Mathematics

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This paper aims to obtain the dynamical solution and instantaneous availability of software systems with aperiodic impulse rejuvenation. Firstly, we formulate the generic system with a group of coupled impulsive differential equations and transform it into an abstract Cauchy problem. Then we adopt a difference scheme and establish the convergence of this scheme by applying the Trotter–Kato theorem to obtain the system’s dynamical solution. Moreover, the instantaneous availability as an important evaluation index for software systems is derived, and its range is also estimated. At last, numerical examples are shown to illustrate the validity of theoretical results.

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Section: Numerical Examplesmentioning

confidence: 99%

Dynamic Analysis of Software Systems with Aperiodic Impulse Rejuvenation

Huo

Chen

2022

Mathematics

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“…In the proposed work, system is rejuvenated either at a predetermined time or after reaching threshold whichever happens first. M. Torquato et al, [17] opine that in virtualized systems, the significant issue is software aging which may degrade the system performance and later lead to failure. In this work, researchers proposed a security evaluation method that is based on availability model.…”

Section: Related Workmentioning

confidence: 99%

Software aging prediction and rejuvenation in cloud computing environment: a new approach

Shruthi¹,

Cholli²

2021

IJEECS

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<span>Service availability is one of the major requirements for user satisfaction. Several researches were conducted in recent years to find suitable infrastructure to enhance the availability. Even though both hardware and software are to be in good condition, in recent years, software faults are the major concern for service availability. Software aging is a type of software fault. Software aging occurs as a result of errors accumulation in the internal environment of the system leading to performance degradation. To manage software aging, technique used is software rejuvenation. There exist two kinds of approaches for studying software aging and deriving optimal software rejuvenation schedules. The two approaches are measurement based and model based. In model based approach, analytic models are built for capturing system degradation and rejuvenation process. In measurement based approach, attributes are periodically monitored and that may indicate signs of software aging. In this work, a prototype of measurement based model has been developed. The model captures the aging indicator metrics from cloud environment and rejuvenates once the system reaches aged status. The proposed model uses platform independent, non-intrusive technique for capturing metrics. The rejuvenation carried out after analysing the captured metrics, increases the availability of the service.</span>

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“…In [16], Ge et al proposed a graphical security model and a stochastic reward net (SRN) model to evaluate security and capacity oriented availability of multiple redundancy designs when applying security patches in server systems. In a recent work [17], Torquato et al proposed an availability SPN model to assess the impact of security risks on the overall availability of a virtualized system equipped with a VMM rejuvenation technique enabled by scheduled VM migration. The authors provided an insightful understanding on the trade-offs between availability and security risks when applying VM migration for rejuvenation purposes.…”

Section: Related Workmentioning

confidence: 99%

A Hierarchical Modeling and Analysis Framework for Availability and Security Quantification of IoT Infrastructures

2020

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Modeling a complete Internet of Things (IoT) infrastructure is crucial to assess its availability and security characteristics. However, modern IoT infrastructures often consist of a complex and heterogeneous architecture and thus taking into account both architecture and operative details of the IoT infrastructure in a monolithic model is a challenge for system practitioners and developers. In that regard, we propose a hierarchical modeling framework for the availability and security quantification of IoT infrastructures in this paper. The modeling methodology is based on a hierarchical model of three levels including (i) reliability block diagram (RBD) at the top level to capture the overall architecture of the IoT infrastructure, (ii) fault tree (FT) at the middle level to elaborate system architectures of the member systems in the IoT infrastructure, and (iii) continuous time Markov chain (CTMC) at the bottom level to capture detailed operative states and transitions of the bottom subsystems in the IoT infrastructure. We consider a specific case-study of IoT smart factory infrastructure to demonstrate the feasibility of the modeling framework. The IoT smart factory infrastructure is composed of integrated cloud, fog, and edge computing paradigms. A complete hierarchical model of RBD, FT, and CTMC is developed. A variety of availability and security measures are computed and analyzed. The investigation of the case-study’s analysis results shows that more frequent failures in cloud cause more severe decreases of overall availability, while faster recovery of edge enhances the availability of the IoT smart factory infrastructure. On the other hand, the analysis results of the case-study also reveal that cloud servers’ virtual machine monitor (VMM) and virtual machine (VM), and fog server’s operating system (OS) are the most vulnerable components to cyber-security attack intensity. The proposed modeling and analysis framework coupled with further investigation on the analysis results in this study help develop and operate the IoT infrastructure in order to gain the highest values of availability and security measures and to provide development guidelines in decision-making processes in practice.

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A Model for Availability and Security Risk Evaluation for Systems With VMM Rejuvenation Enabled by VM Migration Scheduling

Cited by 15 publications

References 29 publications

Dynamic Analysis of Software Systems with Aperiodic Impulse Rejuvenation

Dynamic Analysis of Software Systems with Aperiodic Impulse Rejuvenation

Software aging prediction and rejuvenation in cloud computing environment: a new approach

A Hierarchical Modeling and Analysis Framework for Availability and Security Quantification of IoT Infrastructures

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