Replication and Resubmission Based Adaptive Decision for Fault Tolerance in Real Time Cloud Computing

Patra, Prasenjit Kumar; Singh, Harjit; Singh, Rajwinder; Das, Saptarshi; Dey, Nilanjan; Victoria, Anghel Drugarin Cornelia

doi:10.4018/ijssmet.2016040104

Cited by 20 publications

(3 citation statements)

References 26 publications

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“…Resubmission in the presented models helps in reducing the makespan 69 and resource usage. Patra et al 70 projected an adaptive fault‐tolerant model based on replication and resubmission in cloud computing. The proposed model is based on the Directed Acyclic Graph and Min‐Max approach and tolerates fault by allocating resources to tasks in cloud computing.…”

Section: Taxonomy Of Fault Tolerance Approachesmentioning

confidence: 99%

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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Section: Taxonomy Of Fault Tolerance Approachesmentioning

confidence: 99%

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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“…The authors have used a heuristic procedure to select an appropriate host server to keep the replica of VMs. Patra, et al (2016) have projected an adaptive model to forecast and handle the failure that occurs in real-time cloud computing. The proposed adaptive model uses replication as well as the resubmission fault tolerance method.…”

Section: Related Workmentioning

confidence: 99%

An Adaptable Approach to Fault Tolerance in Cloud Computing

Kumari

Kaur

2023

International Journal of Cloud Applications and Computing

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Existing fault tolerance approaches in the cloud are broadly based on replication and checkpointing. Each of these approaches has its advantages and limitations. This paper presents an adaptable fault tolerance method for determining which of the two approaches will be appropriate for the successful execution of a task in the given cloud conditions. The proposed method classifies the failure risk of host machines available for task execution based on their failure history. Subsequently, fuzzy logic is used to determine the appropriate fault tolerance approach by considering a host's failure risk, user-defined task's priority, and level of resource redundancy. Setting a task's priority provides a user with control to solicit a desired fault tolerance level while the availability of resources reflects a cloud provider's capability to offer fault tolerance. Simulation experiments have verified that the proactive selection of a fault-tolerance method increases the number of tasks that complete successfully.

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“…It is highly complex to demonstrate a cloud model that offers the model's completeness and soundness with fault-tolerance characteristics [13]. This investigation concentrates on fulfilling a research objective to provide a fault tolerance technique using the three-tier model and ensure the QoS functionality, characterized by concurrency and asynchrony, which is used to design the primary components towards computing paradigm [14]- [15]. The following are the research objectives: 1) Here, a novel fault-tolerance approach is proposed to compute the response time, time is taken for a response, task size, count, and host size.…”

Section: Introductionmentioning

confidence: 99%

Modelling an Efficient Three-Tier Fault Tolerance Approach for Resource Provisioning over Cloud

Pawar¹,

Yalla²

2022

EAI Endorsed Transactions on Cloud Systems

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INTRODUCTION: Nowadays, the cloud computing paradigm encounters newer challenges in offering fault tolerance methods during service provisioning. The failures during service provisioning are unavoidable in the large-scale heterogeneous network. Therefore, the adoption of appropriate fault tolerance techniques can improve the provided service's efficiency and reliability. OBJECTIVES: Thus, fault tolerating metrics give better accuracy to enhance the QoS, where the three-tier fault-tolerance approach is proposed to resolve the various failures in service provisioning. METHODS: Initially, a Collector Model collects the request and ranks it based on the service to be provided. Secondly, the redundancy filter module is designed to filter out the request replication and avoid the unnecessary process to be carried out. Finally, the fairness resource allocation module is designed to perform the prominent request received from the users based on the available resources without service congestion. RESULTS: This three-tier model operates concurrently to handle the multiple requests from the users of various connected nodes. The experimental analysis demonstrates that the three-tier fault tolerance model can enhance the cloud reliability over the large-scale heterogeneous network by ensuring QoS. CONCLUSION: The well-realized fault tolerance approach can efficiently demonstrate the structural model and fault tolerance process over the computing environment, therefore enhancing the cloud extendibility. Moreover, the computing environment's failure is hugely complex, and failure has to be handled efficiently.

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Replication and Resubmission Based Adaptive Decision for Fault Tolerance in Real Time Cloud Computing

Cited by 20 publications

References 26 publications

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

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

An Adaptable Approach to Fault Tolerance in Cloud Computing

Modelling an Efficient Three-Tier Fault Tolerance Approach for Resource Provisioning over Cloud

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