Failures in Cloud Computing Data Centers in 3-tier Cloud Architecture

Singh, Dilbag; Singh, Jaswinder Pal; Chhabra, Amit

doi:10.5815/ijieeb.2012.03.01

Cited by 4 publications

(4 citation statements)

References 24 publications

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“…A similar, though only conceptual approach, is developed in [31,32] where a Fault Tolerance Manager (FTM) is developed and inserted between System and Application layers of the CCS. Another approach to this issue is an optimal checkpointing strategy that is used to ensure the availability of a given system [33,34]. Other methods of approaching fault tolerance from a middleware perspective can be found in [20,35].…”

Section: Cloud Computing Reliabilitymentioning

confidence: 99%

Evaluation and design of highly reliable and highly utilized cloud computing systems

et al. 2015

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Cloud computing paradigm has ushered in the need to provide resources to users in a scalable, flexible, and transparent fashion much like any other utility. This has led to a need for developing evaluation techniques that can provide quantitative measures of reliability of a cloud computing system (CCS) for efficient planning and expansion. This paper presents a new, scalable algorithm based on non-sequential Monte Carlo Simulation (MCS) to evaluate large scale cloud computing system (CCS) reliability, and it develops appropriate performance measures. Also, a new iterative algorithm is proposed and developed that leverages the MCS method for the design of highly reliable and highly utilized CCSs. The combination of these two algorithms allows CCSs to be evaluated by providers and users alike, providing a new method for estimating the parameters of service level agreements (SLAs) and designing CCSs to match those contractual requirements posed in SLAs. Results demonstrate that the proposed methods are effective and applicable to systems at a large scale. Multiple insights are also provided into the nature of CCS reliability and CCS design.

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Section: Cloud Computing Reliabilitymentioning

confidence: 99%

Evaluation and design of highly reliable and highly utilized cloud computing systems

et al. 2015

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“…Singh, J. Singh and A. Chhabra [27] high lights that failover approach in critical in provisioning of cloud services to users. Different check points and feedback parameters can be applied to avoid failure of noes in a data centre.…”

Section: E Other Applications Using Poisson Approachmentioning

confidence: 99%

Mathematical Modeling and Analysis of Network Service Failure in DataCentre

Syed¹,

UsmanDilawar²

2014

IJMECS

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Abstract-World has become a global village. With the advent of technology, the concept of Cloud Computing has evolved a lot. Cloud computing offers various benefits in terms of storage, computation, cost and flexibility. It focuses on delivering combination of technological components such as applications, platforms, infrastructure, security and web hosted services over the internet. One of the major elements of Cloud Computing infrastructure is Data centre. Companies host there applications and services online through Data centres, whose probability of downtime is expected to be very low. Since, data centre consists of number of servers; the rate of service failure is usually high. In this paper we have analysed service failure rate of a conventional data centre. The Fault Trend of network failure by assuming there occurrence as a Poisson Process was made. The accurate prediction of fault rate helps in managing the up gradation, replacement and other administrative issues of data centre components.

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“…This research paper is an extension paper of [1], [2], [3]. In this paper Unified Modeling Language (UML) has been verified using StarUML.…”

Section: Introductionmentioning

confidence: 99%

UML Based Integrated Multilevel Checkpointing Algorithms for Cloud Computing Environment

Singh¹,

Singh²,

Chhabra³

2012

IJCNIS

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Main objective of this research work is to improve the checkpoint efficiency for integrated multilevel checkpointing algorithms and prevent checkpointing from becoming the bottleneck of cloud data centers. In order to find an efficient checkpoint interval, checkpointing overheads has also considered in this paper. Traditional checkpointing methods stores persistently snapshots of the present job state and use them for resuming the execution at a later time. The attention of this research is strategies for deciding when and whether a checkpoint should be taken and evaluating them in regard to minimizing the induced monetary costs. By varying rerun time of checkpoints performance comparisons are which will be used to evaluate optimal checkpoint interval. The purposed fail-over strategy will work on application layer and provide highly availability for Platform as a Service (PaaS) feature of cloud computing.

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Failures in Cloud Computing Data Centers in 3-tier Cloud Architecture

Cited by 4 publications

References 24 publications

Evaluation and design of highly reliable and highly utilized cloud computing systems

Evaluation and design of highly reliable and highly utilized cloud computing systems

Mathematical Modeling and Analysis of Network Service Failure in DataCentre

UML Based Integrated Multilevel Checkpointing Algorithms for Cloud Computing Environment

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