Survey of failures and fault tolerance in cloud

Prathibha, Soma; Sowvarnica, S.

doi:10.1109/iccct2.2017.7972271

Cited by 31 publications

(11 citation statements)

References 5 publications

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“…Resource failure in cloud happens when a component of a cloud environment fails to function as it is intended to or does not start up when required. Authors in [32,33] identified hardware, virtual machines and application failures as the three common resource failures in a cloud environment. Authors in [34] argued that faults lead to partial failures in cloud.…”

Section: Resource Failuresmentioning

confidence: 99%

A Novel Weight-Assignment Load Balancing Algorithm for Cloud Applications

Adewojo

Bass

2023

SN COMPUT. SCI.

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Web applications commonly suffer from flash crowds and resource failure, resulting in performance degradation. Flash crowds are large, sudden, yet legitimate influxes of user requests that constitute a critical problem because of their potential economic damage. For cloud providers, resource estimation is challenging, while distributing workload and sustaining performance. To alleviate flash crowds and resource failure problems, we propose a novel weight assignment load balancing algorithm that combines five carefully selected server metrics to efficiently distribute the workload of three-tier web applications among virtual machines. We experimentally characterised, using a private cloud running OpenStack, the load distribution ability of our proposed novel algorithm, as well as a baseline algorithm and round-robin algorithm. We compared the performance of the three algorithms by simulating resource failures and flash crowds, while carefully measuring response times. Our experimental results show that our approach improves average response times by 12.5% when compared to the baseline algorithm and 22.3% when compared to the round-robin algorithm in the flash crowds’ situation. In addition, average response time was improved by 20.7% when compared to the baseline algorithm and 21.4% when compared to the round-robin algorithm in resource failure situations. These experiments show that our novel algorithm is more resilient to fluctuating loads and resource failures than baseline algorithms.

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Section: Resource Failuresmentioning

confidence: 99%

A Novel Weight-Assignment Load Balancing Algorithm for Cloud Applications

Adewojo

Bass

2023

SN COMPUT. SCI.

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“…• Software rejuvenation: This method is specially used and planned for a periodic reboot of the system [40].…”

Section: Researchmentioning

confidence: 99%

Fault-Tolerant Load Balancing in Cloud Computing: A Systematic Literature Review

et al. 2022

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Nowadays, cloud computing is growing daily and has been developed as an effective and flexible paradigm in solving large-scale problems. It has been known as an Internet-based computing model in which computing and virtual resources, such as services, applications, storage, servers, and networks, are shared among numerous cloud users. Since the number of cloud users and their requests are increasing rapidly, the loads on the cloud systems may be underloaded or overloaded. These situations cause different problems, such as high response time and power consumption. To handle the mentioned problems and improve the performance of cloud servers, load balancing methods have a significant impact. Generally, a load balancing method aims to detect under-loaded and overloaded nodes and balance the load among them. In the recent decade, this problem has attracted a lot of interest among researchers, and several solutions have been proposed. Considering the important role of fault-tolerant in load balancing algorithms, there is a lack of an organized and in-depth study in this field yet. This gap prompted us to provide the current study aimed to collect and review the available papers in the field of fault tolerance load balancing methods in cloud computing. The existing algorithms are divided into two categories, namely, centralized and distributed, and reviewed based on vital qualitative parameters, such as scalability, response time, reliability, availability, throughput, and overhead. In this regard, other criteria such as the type of detected faults and adopted simulation tools are taken into account.

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“…This approach is inspired by the work done in cloud workflow systems, as is typically done in [66] for a recent example. See [5,24,39,41,49] for a comprehensive survey of techniques. The outputs of all tasks, which will serve as inputs to other tasks later in the execution, are saved on stable storage as soon as each task completes.…”

Section: Baselinementioning

confidence: 99%

Checkpointing à la Young/Daly: An Overview

Benoît

Hérault³

et al. 2022

Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing

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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

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Survey of failures and fault tolerance in cloud

Cited by 31 publications

References 5 publications

A Novel Weight-Assignment Load Balancing Algorithm for Cloud Applications

A Novel Weight-Assignment Load Balancing Algorithm for Cloud Applications

Fault-Tolerant Load Balancing in Cloud Computing: A Systematic Literature Review

Checkpointing à la Young/Daly: An Overview

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