An innovativefractal architecture model for implementing MapReduce in an open multiprocessing parallel environment

One of the infrastructure applications that cloud computing offers as a service is parallel data processing. MapReduce type processing used more and by data-intensive in environments. based on strategy called "divide conquer," which uses regular computers, also "nodes," to do parallel. This paper looks at how open multiprocessing (OpenMP), best shared-memory programming model for high-performance computing, can be with proposed fractal network application. A well-known model, cube, compare its work. Where experiments demonstrated preferable cube model. The achieved an average speedup 2.7 efficiency rate 67.7%. In contrast, could only reach 2.5 60.4%.