Presenting a new fuzzy system for web service selection aimed at dynamic software rejuvenation

Kalantari, Kimia Rezaei; Ebrahimnejad, Ali; Motameni, Homayun

doi:10.1007/s40747-020-00168-x

Cited by 9 publications

(1 citation statement)

References 40 publications

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“…However, this assigning and re-assigning of the unsuccessful task causes resource loss. Software rejuvenation technique is used in [20] to handle faults, the system is rebooted regularly and each time starts in a fresh state. Resilient approaches have been used for handling faults.…”

Section: B Fault Tolerance Approachesmentioning

confidence: 99%

Next-Gen Cloud Efficiency: Fault-Tolerant Task Scheduling With Neighboring Reservations for Improved Resource Utilization

Umar Mushtaq,

Sheikh,

Idrees

2024

IEEE Access

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One of the main goals in any computational system like the cloud is to effectively allocate resources proficiently for task scheduling. However, the dynamic characteristics of the cloud make it more prone to faults and failures. The flexible and responsive changes are made to redistribute virtual machines (VMs) to address these faults and failures for maintaining continuous services. However, it may inadvertently lead to uneven load distribution. Therefore, thorough attention is required to ensure carefully monitored load equilibrium following fault tolerance. Addressing all these issues simultaneously with optimized Quality of Service (QoS) parameters is a good need of time. In this paper, a novel hybrid model: the Hybrid Faulttolerant Scheduling and Load balancing Model (HFSLM) has been proposed to optimize the makespan of the dynamically arriving tasks and efficiently utilize the available VMs. Moreover, the model also provides solutions for several crucial concerns in cloud systems including VM failure, and VM/task heterogeneity. In the consequence of a VM failure, the approach offers a Neighbouring VM as a substitute for the corresponding task to complete its execution. Furthermore, the model is escorted by a load-balancing algorithm to maintain the equilibrium of load distribution after fault handling for further optimization of the considered QoS parameters. HFSLM is evaluated by comparing it with FTHRM, MAX-MIN, MIN-MIN, and OLB on a small task scale over diverse task and machine heterogeneities and with ELISA and MELISA on an extremely large task scale. The evaluation results show that the recommended HFSLM tops the compared approaches in all the considered cases and heterogeneities.INDEX TERMS cloud computing, task allocation, fault tolerance, resource reservation, load balancing I. INTRODUCTION

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Section: B Fault Tolerance Approachesmentioning

confidence: 99%

Next-Gen Cloud Efficiency: Fault-Tolerant Task Scheduling With Neighboring Reservations for Improved Resource Utilization

Umar Mushtaq,

Sheikh,

Idrees

2024

IEEE Access

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Proactive self‐healing techniques for cloud computing: A systematic review

Rouholamini,

Mirabi,

Farazkish

et al. 2024

Concurrency and Computation

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SummaryEnsuring the seamless operation of cloud computing services is paramount for meeting user demands and ensuring business continuity. Fault‐tolerant self‐healing techniques play a crucial role in enhancing the reliability and availability of cloud platforms, minimizing downtime and ensuring uninterrupted service delivery. This article systematically categorizes and analyzes existing research on fault‐tolerant self‐healing techniques published between 2005 and 2024. We provide a comprehensive technical taxonomy organizing self‐healing techniques based on fault tolerance processes, encompassing considerations for both reliability and availability. Additionally, we evaluate applications of proactive self‐healing techniques, highlighting their achievements, and limitations in enhancing service continuity. Strategies to address identified weaknesses are discussed, alongside future research challenges and open issues in the domain of cloud resilience. Through this analysis, the article contributes to understanding self‐healing techniques in cloud computing, offering insights into their effectiveness in ensuring service continuity. The findings aim to guide future research efforts in developing more robust and resilient cloud infrastructures, ultimately enhancing overall service reliability and availability. By emphasizing the importance of fault tolerance and self‐healing techniques, this article lays the foundation for advancing the state‐of‐the‐art in cloud computing.

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A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition

Camci

Ertürk

Gül

2022

Q-Rung Orthopair Fuzzy Sets

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Presenting a new fuzzy system for web service selection aimed at dynamic software rejuvenation

Cited by 9 publications

References 40 publications

Next-Gen Cloud Efficiency: Fault-Tolerant Task Scheduling With Neighboring Reservations for Improved Resource Utilization

Next-Gen Cloud Efficiency: Fault-Tolerant Task Scheduling With Neighboring Reservations for Improved Resource Utilization

Proactive self‐healing techniques for cloud computing: A systematic review

A Novel Fermatean Fuzzy Analytic Hierarchy Process Proposition and Its Usage for Supplier Selection Problem in Industry 4.0 Transition

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