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Journal of Computer Networks and Communications
Volume 2012 (2012), Article ID 604018, 10 pages
http://dx.doi.org/10.1155/2012/604018
Research Article

Service Virtualization Using a Non-von Neumann Parallel, Distributed, and Scalable Computing Model

1Computer Science Department, Kawa Objects Inc., Los Altos, CA 95014, USA
2DIEEI, University of Catania, Catania, Italy

Received 8 October 2011; Accepted 20 January 2012

Academic Editor: Yueh M. Huang

Copyright © 2012 Rao Mikkilineni et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper describes a prototype implementing a high degree of transaction resilience in distributed software systems using a non-von Neumann computing model exploiting parallelism in computing nodes. The prototype incorporates fault, configuration, accounting, performance, and security (FCAPS) management using a signaling network overlay and allows the dynamic control of a set of distributed computing elements in a network. Each node is a computing entity endowed with self-management and signaling capabilities to collaborate with similar nodes in a network. The separation of parallel computing and management channels allows the end-to-end transaction management of computing tasks (provided by the autonomous distributed computing elements) to be implemented as network-level FCAPS management. While the new computing model is operating system agnostic, a Linux, Apache, MySQL, PHP/Perl/Python (LAMP) based services architecture is implemented in a prototype to demonstrate end-to-end transaction management with auto-scaling, self-repair, dynamic performance management and distributed transaction security assurance. The implementation is made possible by a non-von Neumann middleware library providing Linux process management through multi-threaded parallel execution of self-management and signaling abstractions. We did not use Hypervisors, Virtual machines, or layers of complex virtualization management systems in implementing this prototype.