Candy: Component-based Availability Modeling Framework for Cloud Service Management Using SysML

Machida, Fumio; Andrade, Ermeson; Kim, Dong-Seong; Trivedi, Kishor S.

doi:10.1109/srds.2011.33

Cited by 55 publications

(26 citation statements)

References 10 publications

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“…It is obvious that cloud storage is faced by a challenge that demands the assurance of high availability. A framework modeled on component-based availability has been proposed (Machida et al 2011) to ascertain systems availability. This has been formulated keeping in mind a comprehensive architecture for further enabling cloud services.…”

Section: Related Workmentioning

confidence: 99%

Harnessing RAID mechanism for enhancement of data storage and security on cloud

2016

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Section: Related Workmentioning

confidence: 99%

Harnessing RAID mechanism for enhancement of data storage and security on cloud

2016

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“…This model is based on the fact that high availability assurance of cloud service is one of the main characteristic of cloud service and also one of the main critical and challenging issues for cloud service provider [22].…”

Section: Fault-tolerance Models In Cloud Computingmentioning

confidence: 99%

Fault-Tolerance Techniques in Cloud Storage: A Survey

Hosseini¹,

Ghobaei‐Arani²

2015

IJDTA

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“…For representing the component availability and the failure detections, various approaches used [3]. The model considered in this paper is a stochastic model, which is the best choice to model the dependability and the variability [15]. The types are classified into Markovian or non-Markovian process.…”

Section: Introductionmentioning

confidence: 99%

Availability Modelling of Fault Tolerant Cloud Computing System

Mani¹,

Mahendran²

2017

IJIES

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Abstract:Cloud management organisation is an imperative part of cloud computing platform and serving as the resource manager for cloud platforms. The multifaceted nature of cloud-management base makes its high availability (HA), a standout amongst the most necessities. Different innovations have been produced to build a consistent quality and availability of cloud administration infrastructure. In any case, little work concentrated on quantitative examination of its accessibility. While this ability accomplishes a developed availability with small fault rates, corporate requests conveyed over the autonomous zones may encounter unique Quality of Service (QoS) because of various physical frameworks. The key target of this paper is to show how the Markov-based model can fulfil the client request. For this reason, a few scenarios of the failure rate of virtual machine's practices, for example, single system failure, multiple system failures, power outage are considered by applying the Markov model. The improved repair strategies of accessibility in various circumstances are also investigated. The Queuing models like Markovian and non-Markovian models are examined using phase type expansion and renewal theory keeping in mind the end goal to sufficiently speak to and to assess. The considered element unwavering quality perspectives if there should be an occurrence of the most part dispersed lifetimes and times to repair.

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Candy: Component-based Availability Modeling Framework for Cloud Service Management Using SysML

Cited by 55 publications

References 10 publications

Harnessing RAID mechanism for enhancement of data storage and security on cloud

Harnessing RAID mechanism for enhancement of data storage and security on cloud

Fault-Tolerance Techniques in Cloud Storage: A Survey

Availability Modelling of Fault Tolerant Cloud Computing System

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