Improving Reliability of Cloud-Based Applications

Tran, Hong Thai; Feuerlicht, George

doi:10.1007/978-3-319-44482-6_15

Cited by 4 publications

(4 citation statements)

References 12 publications

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“…The system uses idempotence to tolerate duplicate requests, which helps the process and communication recovery. Tran and Feuerlicht 66 discussed reliability strategies based on retry fault tolerance along with Recovery Block Fault Tolerance and Dynamic Sequential Fault Tolerance in cloud applications. When a fault occurs in the cloud services, it periodically retries until it succeeds using the retry approach.…”

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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“…With the recent improvement of Cloud Computing (Tran & Feuerlicht, 2016), frameworks and middleware have become popular and effective for providing suitable services to users at the right time, at the right place and with the right manner. However, Cloud Computing is able to cope with users' situations in different locations and lighting conditions, depending on the internet network.…”

Section: Cloud-based Context-aware Framework and Cloud-based Context-aware Middlewaresmentioning

confidence: 99%

Smart Fog Computing for Efficient Situations Management in Smart Health Environments

Achouri

Alti

Derdour

et al. 2018

JICT

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Ontologies are considered a backbone for supporting advanced situation management in various smart domains, particularly smart health. It plays a vital role in understanding user context in order to determine patients' safety, situation identification accuracy, and provide personalized comfort. The smart health domain contains a huge number of different types of context profiles related to interactive devices, linked health objects, and smart-home. The key role of context profiles is to deduce urgent situations that are needed to run adaptation components on a specific smarthealth Fog. Existing platforms and middlewares lack support to efficiently analyze a large number of heterogeneous specific profiles and continuous context changing in near real time. In this paper, we focus on data and dissemination of information from services related to the field of e-health. This paper aims to provide a new generic user situation-aware profile ontology (GUSP-Onto) for a semantic description of heterogeneous users' profiles with efficient patients' situation management and health

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“…Service consumers can also optimise application performance by re-locating the application to a different cloud infrastructure selecting a more suitable geographic location, taking into account both enduser connectivity and connectivity to third-party cloud services. Finally, QoS characteristics of cloud-based enterprise applications can be improved by using various reliability strategies, re-configuring cloud services to provide higher levels of fault tolerance [6]. These fault tolerance strategies include Retry Fault Tolerance (RFT), Recovery Block Fault Tolerance (RBFT) and Dynamic Sequential Fault Tolerance (DFST) strategies.…”

Section: Enterprise Application Optimization Strategiesmentioning

confidence: 99%

“…In our earlier work we have described the features of the Service Consumer Framework (SCF) designed to improve the reliability of cloud-based enterprise applications by managing service outages and service evolution. We have implemented and experimentally evaluated availability and response time characteristics of payment services (PayPal and eWay) using three separate reliability strategies (Retry Fault Tolerance, Recovery Block Fault Tolerance, and Dynamic Sequential Fault Tolerance) and compared these experimental results with theoretically predicted values [6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Cloud-Based Applications Using Multi-site QoS Information

Tran¹,

Feuerlicht²

2016

Lecture Notes in Business Information Processing

Self Cite

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Part 7: EIS-PracticesInternational audienceWith rapid increase of the use of cloud services, the availability of Quality of Service (QoS) information is becoming of utmost importance to assist application managers in selection of suitable services for their enterprise applications. Due to different characteristics of cloud and on-premise services, monitoring and management of cloud-based enterprise applications requires a different approach that involves the monitoring of QoS parameters such as availability and response time in different geographic locations. In this paper, we propose a multi-site model for the monitoring and optimization of cloud-based enterprise applications that evaluates the availability and response time of cloud services concurrently across different geographic locations. Our preliminary results using eWay and PayPal payment services monitored in eleven sites across four geographic regions indicate that location-based information can be used to improve the reliability and performance of cloud-based enterprise applications

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Improving Reliability of Cloud-Based Applications

Cited by 4 publications

References 12 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

Smart Fog Computing for Efficient Situations Management in Smart Health Environments

Optimization of Cloud-Based Applications Using Multi-site QoS Information

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