MOCCA - Towards a Distributed CCA Framework for Metacomputing. We describe the design and implementation of MOCCA, a distributed CCA framework implemented using the H2O metacomputing system. Motivated by the quest for appropriate metasystem programming models for large scale scientific applications, MOCCA combines the advantages of component orientation with the flexible and reconfigurable H2O middleware. By exploiting unique capabilities in H2O, including client-provider separation, security, and negotiable transport protocols, enhancements to both functionality and performance could be attained. The design and implementation of MOCCA highlights the natural match between CCA components and H2O pluglets, both in structure and invocation methodology. An outline of how native CCA modules can be supported in the MOCCA framework describes the potential for future deployment of legacy codes on metacomputing systems. We also report on preliminary experiences with test applications and sample performance measurements that favorably compare MOCCA to alternative component frameworks for tightly- and loosely-coupled metacomputing systems.

This software is also peer reviewed by journal TOMS.

References in zbMATH (referenced in 4 articles )

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  1. de Carvalho, Francisco Heron jun.; de Rezende, Cenez Araújo: A case study on expressiveness and performance of component-oriented parallel programming (2013) ioport
  2. Rouson, Damian W. I.; Adalsteinsson, Helgi; Xia, Jim: Design patterns for multiphysics modeling in Fortran 2003 and C++ (2010)
  3. Rouson, Damian W. I.; Rosenberg, Robert; Xu, Xiaofeng; Moulitsas, Irene; Kassinos, Stavros C.: A grid-free abstraction of the Navier-Stokes equations in Fortran 95/2003 (2008)
  4. Antoniu, Gabriel; Bouziane, Hinde Lilia; Jan, Mathieu; Pérez, Christian; Priol, Thierry: Combining data sharing with the master-worker paradigm in the common component architecture (2007) ioport