Analyzing, modeling and evaluating dynamic adaptive fault tolerance strategies in cloud computing environments

Sun, Dawei; Chang, Guiran; Miao, Changsheng; Wang, Xingwei

doi:10.1007/s11227-013-0898-7

Cited by 60 publications

(35 citation statements)

References 38 publications

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“…There are several different checkpointing solutions for large-scale distributed computing systems. A classification of checkpointing mechanisms have been proposed in [111]. It shows that these mechanisms can be classified based on four different viewpoints.…”

Section: Task Resubmissionmentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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Reliability and high availability have always been a major concern in distributed systems. Providing highly available and reliable services in cloud computing is essential for maintaining customer confidence and satisfaction and preventing revenue losses. Although various solutions have been proposed for cloud availability and reliability, but there are no comprehensive studies that completely cover all different aspects in the problem. This paper presented a ‘Reference Roadmap’ of reliability and high availability in cloud computing environments. A big picture was proposed which was divided into four steps specifying through four pivotal questions starting with ‘Where?’, ‘Which?’, ‘When?’ and ‘How?’ keywords. The desirable result of having a highly available and reliable cloud system could be gained by answering these questions. Each step of this reference roadmap proposed a specific concern of a special portion of the issue. Two main research gaps were proposed by this reference roadmap.

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Section: Task Resubmissionmentioning

confidence: 99%

Reliability and high availability in cloud computing environments: a reference roadmap

Mesbahi

Rahmani

Hosseinzadeh

2018

Hum. Cent. Comput. Inf. Sci.

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“…Two different replication strategies are in widespread use: static replication [11][12][13] and dynamic replication [14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Based on these two strategies, different replication algorithms and schemes have been proposed by different researchers.…”

Section: Related Workmentioning

confidence: 99%

“…Our work is greatly influenced from [19]. This replication approach has been combined with the checkpoint strategy to propose a new approach named DAFT (Dynamic Adaptive Fault-tolerance) in [20]. The main aim is to have higher availability, performance and fault tolerance.…”

Section: Related Workmentioning

confidence: 99%

A dynamic, cost-aware, optimized data replication strategy for heterogeneous cloud data centers

Gill

Singh

2016

Future Generation Computer Systems

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“…Protection in distributed systems can be implemented through replication-and checkpoint-based methodologies [31]:…”

Section: A Resiliency Strategiesmentioning

confidence: 99%

“…An approach using this technique is checkpointing orchestration (CO) suggested in [163] that minimizes the I/O contention of concurrent checkpoint data from distributed and large cloud infrastructure. Another approach is the dynamic adaptive fault tolerance (DAFT) [31] that adaptively coordinates checkpoints and service (i.e., data, connections, and applications) replication to satisfy SLOs.…”

Section: E Resiliency In Cloud Middleware Infrastructurementioning

confidence: 99%

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

Colman-Meixner

Develder

Tornatore

et al. 2016

IEEE Commun. Surv. Tutorials

130

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Abstract-Today's businesses increasingly rely on cloud computing, which brings both great opportunities and challenges. One of the critical challenges is resiliency: disruptions due to failures (either accidental or because of disasters or attacks) may entail significant revenue losses (e.g., US$ 25.5 billion in 2010 for North America). Such failures may originate at any of the major components in a cloud architecture (and propagate to others): (i) the servers hosting the application, (ii) the network interconnecting them (on different scales, inside a data center, up to wide-area connections), or (iii) the application itself. We comprehensively survey a large body of work focusing on resilience of cloud computing, in each (or a combination) of the server, network, and application components.First, we present the cloud computing architecture and its key concepts. We highlight both the infrastructure (servers, network) and application components. A key concept is virtualization of infrastructure (i.e., partitioning into logically separate units), and thus we detail the components in both physical and virtual layers. Before moving to the detailed resilience aspects, we provide a qualitative overview of the types of failures that may occur (from the perspective of the layered cloud architecture), and their consequences.The second major part of the paper introduces and categorizes a large number of techniques for cloud computing infrastructure resiliency. This ranges from designing and operating the facilities, servers, networks, to their integration and virtualization (e.g., also including resilience of the middleware infrastructure).The third part focuses on resilience in application design and development. We study how applications are designed, installed, and replicated to survive multiple physical failure scenarios as well as disaster failures.

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Analyzing, modeling and evaluating dynamic adaptive fault tolerance strategies in cloud computing environments

Cited by 60 publications

References 38 publications

Reliability and high availability in cloud computing environments: a reference roadmap

Reliability and high availability in cloud computing environments: a reference roadmap

A dynamic, cost-aware, optimized data replication strategy for heterogeneous cloud data centers

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

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