Achieving software parallelism through alternative process models

Computing techniques like Cloud computing demand for very high level of parallelism, which has been achieved at hardware level through advancements in Computer Architecture. However to exploit the maximum benefits of the hardware parallelism, the software solutions implemented in such systems also shall exhibit parallel processing capabilities. Most of the popular problem solving methods and algorithms need not be capable for imparting parallelism in software solutions. This opens up the scope for the exploration aiming alternative solution models with capabilities to achieve parallel, scalable and distributable nature in processes. This study illustrates the scope of seeking alternative process models to achieve software parallelism at component level, using simple meta-models of mathematical problems.