MTTF of Composite Web Services

Hu, Tao; Guo, Minyi; Guo, Song; Ozaki, Hirokazu; Zheng, Long; Ota, Kaori; Dong, Mianxiong

doi:10.1109/ispa.2010.91

Cited by 20 publications

(7 citation statements)

References 17 publications

(14 reference statements)

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“…Since the same values of MTTF and MTTR [6,8] are assumed for the HW and OS elements of the nodes subsystem, Table 3 only includes the parameter values for the KVM and NC blocks [32,33]. Model analysis of this subsystem produced an MTTF of 481.82 hours and an MTTR of 0.91 hours.…”

Section: Case Studymentioning

confidence: 99%

Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

Melo

Dantas²,

Matos³

et al. 2014

Mathematical Problems in Engineering

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For several years cloud computing has been generating considerable debate and interest within IT corporations. Since cloud computing environments provide storage and processing systems that are adaptable, efficient, and straightforward, thereby enabling rapid infrastructure modifications to be made according to constantly varying workloads, organizations of every size and type are migrating to web-based cloud supported solutions. Due to the advantages of the pay-per-use model and scalability factors, current video on demand (VoD) streaming services rely heavily on cloud infrastructures to offer a large variety of multimedia content. Recent well documented failure events in commercial VoD services have demonstrated the fundamental importance of maintaining high availability in cloud computing infrastructures, and hierarchical modeling has proved to be a useful tool for evaluating the availability of complex systems and services. This paper presents an availability model for a video streaming service deployed in a private cloud environment which includes redundancy mechanisms in the infrastructure. Differential sensitivity analysis was applied to identify and rank the critical components of the system with respect to service availability. The results demonstrate that such a modeling strategy combined with differential sensitivity analysis can be an attractive methodology for identifying which components should be supported with redundancy in order to consciously increase system dependability.

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Section: Case Studymentioning

confidence: 99%

Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

Melo

Dantas²,

Matos³

et al. 2014

Mathematical Problems in Engineering

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“…Table I presents the values of mean time to failure (MTTF) and mean time to repair (MTTR) used in the GC model. Those values were obtained from [22] [23], and were used to compute the dependability metrics for the non-redundant general controller, and subsequently for the whole system. This subsystem has an MTTF of 180.72 h and an MTTR of 0.96 h. Figure 5 shows the RBD model that represents one node in the Nodes subsystem.…”

Section: A Model For Non-redundant Architecturementioning

confidence: 99%

“…The Nodes subsystem model assumes that the hardware and operating system of the nodes has the same dependability characteristics as the General Controller, i.e., the same MTTF and MTTR. Therefore, Table II presents only the parameter values for the KVM and NC blocks [22] [23]. The analysis of this model provides an MTTF of 481.82 hours and an MTTR of 0.91 hours for each node in this cloud environment.…”

Section: A Model For Non-redundant Architecturementioning

confidence: 99%

An availability model for eucalyptus platform: An analysis of warm-standy replication mechanism

Dantas

Matos

Araújo

et al. 2012

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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High availability in cloud computing services is essential for maintaining customer confidence and avoiding revenue losses due to SLA violation penalties. Since the software and hardware components of cloud infrastructures may have limited reliability, fault tolerance mechanisms are a means of achieving the necessary dependability requirements. This paper investigates the benefits of a warmstandy replication mechanism in a Eucalyptus cloud computing environment. A hierarchical heterogeneous modeling approach is used to represent a redundant architecture and compare its availability to that of a non-redundant architecture. Both hardware and software failures are considered in the proposed analytical models. The results show an enhanced dependability for the proposed redundant system, as well as a decrease in the annual downtime. The results also demonstrate that the simple replacement of hardware by more reliable machines would not produce improvements in system availability to the same extent as would the fault tolerant approach.

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“…Scenarios 2a and 2b adopt the Erlang probability distribution. Scenarios 1a and 2a consider the MTTF and MTTR values obtained in (Dantas et al, 2012;Kim et al, 2009;Hu et al, 2010) reduced by a factor of 1000. Scenarios 1b and 2b use MTTR values which are 20% higher than those values adopted in Scenarios 1a and 2a.…”

Section: Scenariosmentioning

confidence: 99%

A Tool for Automatic Dependability Test in Eucalyptus Cloud Computing Infrastructures

Souza¹,

Matos²,

Araújo³

et al. 2013

CIS

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Cloud Computing is a paradigm that dynamically provides resources as services through the Internet. The constant concern about the trust placed in cloud computing systems inspires dependability studies. A possible way of performing dependability studies, especially regarding reliability and availability, is through fault injection tools, which enable to observe the system's behavior during the occurrence of fault events. This paper presents a fault injection tool, called EucaBomber, for reliability and availability studies in the Eucalyptus cloud computing platform. The tool supports fault injections in Eucalyptus hardware and software components at runtime, and also upholds reparation of both types of injected faults. The efficiency of EucaBomber is tested through a case study involving two different scenarios where faults and repairs of hardware and software are injected in the Eucalyptus platform simulating the system's events. Such a tool assists the system administrator and planners to evaluate the system's availability and maintenance policies.

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MTTF of Composite Web Services

Cited by 20 publications

References 17 publications

Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

Redundant VoD Streaming Service in a Private Cloud: Availability Modeling and Sensitivity Analysis

An availability model for eucalyptus platform: An analysis of warm-standy replication mechanism

A Tool for Automatic Dependability Test in Eucalyptus Cloud Computing Infrastructures

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