A Decentralized Model for Self-managed Web Services Applications

Self-management in distributed systems is a way to cope with the growing complexity of these ones today, and its support in existing systems requires a transformation in their architectures. This work presents a decentralized model for the implementation of self-management capabilities, which also has the advantage of avoiding the single point of failure (SPOF) issue, providing more robustness to the management system. The proposed architecture has been validated in a real distributed application.

[1]  Sheikh Iqbal Ahamed,et al.  Self-healing for autonomic pervasive computing , 2007, SAC '07.

[2]  Francisco J. Garijo,et al.  BOGAR_LN: An Agent Based Component Framework for Developing Multi-modal Services Using Natural Language , 2003, CAEPIA.

[3]  Norman W. Paton,et al.  Workflow adaptation as an autonomic computing problem , 2007, WORKS '07.

[4]  Charles L. Forgy,et al.  Rete: A Fast Algorithm for the Many Patterns/Many Objects Match Problem , 1982, Artif. Intell..

[5]  Aggelos Kiayias,et al.  Polynomial Reconstruction Based Cryptography , 2001, Selected Areas in Cryptography.

[6]  Ralph Johnson,et al.  design patterns elements of reusable object oriented software , 2019 .

[7]  Hanku Lee,et al.  RISE: A Grid-Based Self-Configuring and Self-Healing Remote System Image Management Environment , 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

[8]  F. Alan Andersen Standards: An Introduction , 1984, IEEE Engineering in Medicine and Biology Magazine.

[9]  Patrick Martin,et al.  The WSDM of Autonomic Computing: Experiences in Implementing Autonomic Web Services , 2007, International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS '07).

[10]  Alberto Bugarín,et al.  Current Topics in Artificial Intelligence, 11th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2005, Santiago de Compostela, Spain, November 16-18, 2005, Revised Selected Papers , 2006, CAEPIA.

[11]  Jeffrey O. Kephart,et al.  The Vision of Autonomic Computing , 2003, Computer.