<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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 M<sup>3</sup> 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.</p></abstract>

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.

On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment

Foundations of Computing and Decision Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Reliability is one of the bigest challenges faced by service-oriented systems. Therefore, to solve this problem, we have proposed ReServE - Reliable Service...

On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment

Published Online: Jun 22, 2018

Page range: 105 - 128

Received: Feb 27, 2018

Accepted: Apr 25, 2018

DOI: https://doi.org/10.1515/fcds-2018-0005

Keywords
SOA, fault-tolerance, recovery protocol, monitoring

© 2018 Anna Kobusinska, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

On Monitoring and Self-Adaptation to Dynamic Nature of SOA in ReServE Environment

Published Online: Jun 22, 2018

Page range: 105 - 128

Received: Feb 27, 2018

Accepted: Apr 25, 2018

DOI: https://doi.org/10.1515/fcds-2018-0005

KeywordsSOA, fault-tolerance, recovery protocol, monitoring

© 2018 Anna Kobusinska, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
SOA, fault-tolerance, recovery protocol, monitoring