On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment
Reliability is one of the bigest challenges faced by service-oriented systems. Therefore, to solve this problem, we have proposed ReServE - Reliable Service Environment. ReServE increases fault-tolerance of SOA systems and ensures consistent processing despite failures. However, the proposed environ...
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| Format: | Article |
| Language: | English |
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Sciendo
2018-06-01
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| Series: | Foundations of Computing and Decision Sciences |
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| Online Access: | https://doi.org/10.1515/fcds-2018-0005 |
| _version_ | 1828424607054430208 |
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| author | Kobusinska Anna |
| author_facet | Kobusinska Anna |
| author_sort | Kobusinska Anna |
| collection | DOAJ |
| description | Reliability is one of the bigest challenges faced by service-oriented systems. Therefore, to solve this problem, we have proposed ReServE - Reliable Service Environment. ReServE increases fault-tolerance of SOA systems and ensures consistent processing despite failures. However, the proposed environment imposes also the performance overhead. Thus, in this paper, we extended ReServE and added a monitoring feature provided by the M3 service. As a consequence, the extended environment can adjust appropriately the load of its modules to the changing interaction and behaviour patterns of service oriented systems. We have experimentally shown that the proposed solution, while providing the required level of reliability, decreases significantly the performance overhead. |
| first_indexed | 2024-12-10T16:20:22Z |
| format | Article |
| id | doaj.art-93480b2aec53420fbef01f4181b59736 |
| institution | Directory Open Access Journal |
| issn | 2300-3405 |
| language | English |
| last_indexed | 2024-12-10T16:20:22Z |
| publishDate | 2018-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Foundations of Computing and Decision Sciences |
| spelling | doaj.art-93480b2aec53420fbef01f4181b597362022-12-22T01:41:52ZengSciendoFoundations of Computing and Decision Sciences2300-34052018-06-0143210512810.1515/fcds-2018-0005fcds-2018-0005On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE EnvironmentKobusinska Anna0Institute of Computing Science, Poznan University of Technology, Poznan, PolandReliability is one of the bigest challenges faced by service-oriented systems. Therefore, to solve this problem, we have proposed ReServE - Reliable Service Environment. ReServE increases fault-tolerance of SOA systems and ensures consistent processing despite failures. However, the proposed environment imposes also the performance overhead. Thus, in this paper, we extended ReServE and added a monitoring feature provided by the M3 service. As a consequence, the extended environment can adjust appropriately the load of its modules to the changing interaction and behaviour patterns of service oriented systems. We have experimentally shown that the proposed solution, while providing the required level of reliability, decreases significantly the performance overhead.https://doi.org/10.1515/fcds-2018-0005soafault-tolerancerecovery protocolmonitoring |
| spellingShingle | Kobusinska Anna On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment Foundations of Computing and Decision Sciences soa fault-tolerance recovery protocol monitoring |
| title | On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment |
| title_full | On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment |
| title_fullStr | On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment |
| title_full_unstemmed | On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment |
| title_short | On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment |
| title_sort | on monitoring and self adaptation to dynamic nature of soa in reserve environment |
| topic | soa fault-tolerance recovery protocol monitoring |
| url | https://doi.org/10.1515/fcds-2018-0005 |
| work_keys_str_mv | AT kobusinskaanna onmonitoringandselfadaptationtodynamicnatureofsoainreserveenvironment |