A reactive fault tolerance approach for cloud computing

AbdElfattah, Eman; Elkawkagy, Mohamed; El-Sisi, Ashraf B.

doi:10.1109/icenco.2017.8289786

Cited by 23 publications

(15 citation statements)

References 9 publications

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“…Rouf and Kim [9] discussed the state-of-the-art techniques to combat with soft errors using different techniques broadly categorized in three types: (i) software based schemes, (ii) hardware based schemes, (iii) hardware and software based co-design schemes. Abdelfattah et al [11] proposed a technique which execute the failed tasks by the best reliable node. Reject message is sent back if it cannot be recovered.…”

Section: Related Workmentioning

confidence: 99%

“…The creation of checkpoint increases overhead. The checkpointing, replication and resubmission techniques are backward recovery and solve the problems using roll back technique [11]. It also increases workload and execution time of cloud infrastructure.…”

Section: Motivationmentioning

confidence: 99%

“…Reactive fault tolerance requires error recovery after faults are detected [8,11]. Checkpoint is a snapshot of the full state of the process.…”

Section: Introductionmentioning

confidence: 99%

“…When a cloudlet is failed to execute on primary virtual machine, the replica reexecutes the cloudlet from the initial state. It needs more overhead than hundred percent [11,15].…”

Section: Introductionmentioning

confidence: 99%

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Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Rahman

Rouf

2021

Lecture Notes on Data Engineering and Communications Technologies

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Application of cloud computing is increasing gradually. It is a useful model for a collection of configurable computing resources such as data-centers, servers, data storage and application services in real-time. Due to the emergence of cloud computing, providing reliable service becomes vital issue. Transient faults may affect temporary unavailability of services and timeout to get response. These types of faults can be catastrophic in cloud applications such as, scientific research, financial and safety critical applications. To reduce the effect of such errors, a fault tolerant mechanism is required. We propose an aggressive fault tolerant (AFT) technique to detect and recover from faults in cloud environment. Aggressive fault detection and recovery module detects faults and recovers from these faults using a smart decision agent. A smart decision agent takes decision on different types of hardware, software and communication faults. It reduces complexity and improves performance of fault tolerant schemes compared with other existing techniques such as checkpointing, resubmission and replication techniques. The proposed scheme achieves 98.7% error coverage while it is 1.5 times faster than checkpointing, 2.0 times faster than resubmission and 2.5 times faster than replication technique.

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Section: Related Workmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

“…Reactive fault tolerance requires error recovery after faults are detected [8,11]. Checkpoint is a snapshot of the full state of the process.…”

Section: Introductionmentioning

confidence: 99%

“…When a cloudlet is failed to execute on primary virtual machine, the replica reexecutes the cloudlet from the initial state. It needs more overhead than hundred percent [11,15].…”

Section: Introductionmentioning

confidence: 99%

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Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Rahman

Rouf

2021

Lecture Notes on Data Engineering and Communications Technologies

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“…Byzantine fault tolerance techniques are widely employed for building reliable systems but the parameters for modeling based on resource usage alone is not sufficient in data centers. The reliability of each host is modeled in terms of host ability to complete the task successfully in [5]. The task migration from low reliability node to high reliability is done for proactive fault tolerance.…”

Section: ( ) ∑mentioning

confidence: 99%

Cognitive Neural Network Classifier for Fault Management in Cloud Data Center

Indirani¹,

Venkateswaran²

2019

IJACSA

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Pro-actively handling the fault in data center is a means to allocate the VM to Host before failures, so that SLA meets for the tasks running in the data center. Existing solution [1] on fault prediction in datacenter is based on a single parameter of temperature and the fault tolerance is implemented as a reactive solution in terms of VM replication. Different from these works, a proactive fault tolerance with fault prediction based on deep learning with multiple parameters is proposed in this work. In this work Cognitive Neural Network (CNN) is used to predict the failure of hosts and initiate migration or avoid allocation to the hosts which has high probability of failures. Hosts in the data center are scored on failure probability (FP-Score) based on parameters collected at various levels using CNN. VM placement and migration policies are fine-tuned using FP-Score to manage the failure proactively.

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Fault‐tolerance approaches for distributed and cloud computing environments: A systematic review, taxonomy and future directions

Kirti,

Maurya,

Yadav

2024

Concurrency and Computation

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Fault tolerance is crucial in ensuring smooth working of distributed and cloud computing. It is challenging to implement because of the constantly changing infrastructure and complex configurations in distributed and cloud computing. Implementation of various fault tolerance methods require domain‐specific knowledge as well as in‐depth understanding of the existing techniques and approaches. Recent surveys on fault tolerance in cloud and distributed environments exist, but they have limitations. This article systematically reviews fault tolerance approaches in distributed and cloud computing and discusses their taxonomy. Based on the taxonomy provided, fault‐tolerance approaches are divided into four types, that is, reactive approaches, proactive approaches, adaptive approaches, and hybrid approaches. Reactive approaches provide a preventive measure after the occurrence of faults in the system. Proactive approaches prevent the system or minimize failure effects by predicting in advance. The adaptive approaches predict, learn, and adapt the changes to deal with new faults in the system. The hybrid approaches combine reactive, proactive, and adaptive approaches. The objective of this article is to give a better understanding of handling faults using suitable approaches and further compare them on various parameters. The paper also presents a promising research direction based on the challenges and issues in multiple approaches.

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A reactive fault tolerance approach for cloud computing

Cited by 23 publications

References 9 publications

Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Aggressive Fault Tolerance in Cloud Computing Using Smart Decision Agent

Cognitive Neural Network Classifier for Fault Management in Cloud Data Center

Fault‐tolerance approaches for distributed and cloud computing environments: A systematic review, taxonomy and future directions

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