Design and implementation of fault tolerance techniques to improve QoS in SOA

Oliveira, Edvard Martins de; Estrella, Júlio Cézar; Kuehne, Bruno Tardiole; Filho, Dionisio Machado Leite; Adami, Lucas Junqueira; Nunes, Luiz H.; Nakamura, Luis H. V.; Libardi, Rafael M. de O.; Souza, Paulo Sérgio Lopes de; Reiff-Marganiec, Stephan

doi:10.1109/cnsm.2014.7014139

Cited by 7 publications

(3 citation statements)

References 19 publications

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“…For this reason, faults could not be propagated to other replicas since these replicas were of different service vendors. Selection algorithms have been noted in similar concepts in literary works (Zhao, 2007;Oliveira et al, 2014;Pandey et al, 2019;Santish et al, 2022), though in fault-tolerant mechanism selection or primary available service selection and not in replica result selection. Consequently, replica result selection was handled with the pseudocodes in Algorithm 1, with subsets in Algorithms 1a and 1b to ensure the optimal selection of appropriate service replica responses. }…”

Section: The Fault Tolerant Approach and Replica Managementmentioning

confidence: 94%

“…The parameter of throughput and regularity rate in response time for service requests for an interval of time was a limitation in their study. The Universal Description, Discovery, and Integration (UDDI) failures were bridged in Oliveira et al (2014) via a set of selection algorithms for new services when a component failure occurs. Their proposal depended on a novel selection mechanism employed in module logging and data mining to ensure the efficient selection of guaranteed web services.…”

Section: Related Studiesmentioning

confidence: 99%

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Guaranteeing Performance in a Fault Tolerant Architecture Solution using Software Agent’s Coordination

Oliha

2022

JICT

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Performance is a critical attribute in evaluating the quality and dependability of service-oriented systems dependent on fault-tolerantarchitectures. Fault-tolerant architectures have been implemented with redundant techniques to ensure fault-tolerant services. However, replica-related overhead burdens fault-tolerant techniques with associated performance degradation in service delivery, and this consequentially discourages service consumers with discredits for service providers. In this paper, a fault-tolerant approach thatadopts replication and diversity was employed on agent-oriented coordination toward guaranteeing the performance of the proposedfault-tolerant architecture solution under a large-scale service request load. In addition, the resultant architecture solution was simulated with Apache JMeter for performance evaluation considering the performability in the absence and presence of a fault load. The simulation experiments and results revealed the architecture’s efficiency in fault tolerance via the timely coordination of logicaland replica-related activities by software agents. Noteworthily, the continued service availability and performance were guaranteed for the architecture solution with a significant rate of regularity in the absence and presence of a replica-related fault. Therefore, this study’s performance evaluation methods and results could serve as a veritable milestone for building fault-tolerant service systems with appreciable performability and contribute to the service-oriented fields where performance is inevitable.

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Section: The Fault Tolerant Approach and Replica Managementmentioning

confidence: 94%

Section: Related Studiesmentioning

confidence: 99%

Guaranteeing Performance in a Fault Tolerant Architecture Solution using Software Agent’s Coordination

Oliha

2022

JICT

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“…Ganglia is a service based on the master‐slave hierarchy that forms a flexible set of tools . Used in other work with excellent results and low overhead, Ganglia is a useful tool to exchange system information and to aid other mechanisms to make decisions about providers, storage, and schedulers. The monitor is malleable and offers a collection of instruments, allowing a detailed setup of indexes.…”

Section: The Architecturementioning

confidence: 99%

Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm

et al. 2020

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Science Gateways provide portals for experiments execution, regardless of the users' computational background. Nowadays its construction and performance need enhancement in terms of resource provision and task scheduling. We present the Modular Distributed Architecture to support the Protein Structure Prediction (MDAPSP), a Service-Oriented Architecture for management and construction of Science Gateways, with resource provisioning on a heterogeneous environment. The Decision Maker, central module of MDAPSP, defines the best computational environment according to experiment parameters. The proof of concept for MDAPSP is presented in WorkflowSim, with two novel schedulers. Our results demonstrate good Quality of Service (QoS), capable of correctly distributing the workload, fair response times, providing load balance, and overall system improvement. The study case relies on PSP algorithms and the Galaxy framework, with monitoring experiments to show the bottlenecks and critical aspects. K E Y W O R D Soptimization, protein structure prediction, science gateways, scientific workflow, service-oriented architecture, WorkflowSim 1 Softw: Pract Exper. 2020;50:899-924. wileyonlinelibrary.com/journal/spe © 2020 John Wiley & Sons, Ltd. 899 900 MARTINS DE OLIVEIRA et al.Another limitation of scientific gateways is the resource provision for its machines, that affect usability and performance. The problem with resource provisioning is a quest for the best configuration, requiring the smallest investment and minimal overheads. In general, inexperienced users cannot make good decisions on what machines to contract. Limited economic resources complicate the scenario.Cloud computing paradigm is among the principal resources available, as it has many advantages: scalability, pay-as-you-go features, on-demand provisioning, and management by third parties. Multiple providers infrastructure and decentralization of resources are expanding and are expected to create impact on diverse areas. 4 Resource providing and management are one of the challenging aspects of this expansion. 5 Despite its success, cloud is not the only option for provisioning. 6 Computer clusters are reliable infrastructures for conducting experiments, mainly High-Performance Computing (HPC) and concurrent algorithms. The advantages of cluster machines are local management, freedom of configuration, reliable storage, and fast network transfers. 3 For those reasons, we investigate the scientific gateway Galaxy, because it is an adaptable system, capable to operate over different infrastructures, including local workstations.Galaxy is a well-known framework for scientific experiments, with workflow management and reproducibility support. Its tools offer practical solutions and addition of new algorithms according to the evolution of the system. The focus is Biomedical science, protein prediction, gene sequencing, and other bioinformatics-related areas. Its advantages are simple interface, reliability, powerful tools, and an active community. 7 However, as any other...

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Investigations on Failure and Reliability Aspects of Service Oriented Computing Based on Different Deployment Techniques

Bora

Medhi

Bezboruah

2018

Lecture Notes in Electrical Engineering

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Design and implementation of fault tolerance techniques to improve QoS in SOA

Cited by 7 publications

References 19 publications

Guaranteeing Performance in a Fault Tolerant Architecture Solution using Software Agent’s Coordination

Guaranteeing Performance in a Fault Tolerant Architecture Solution using Software Agent’s Coordination

Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm

Investigations on Failure and Reliability Aspects of Service Oriented Computing Based on Different Deployment Techniques

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