Abstract

Data can be store as structured, semi-structured or unstructured formats in various distributed environments. Extraction of data from multiple data sources or data warehouse and convert to a proper order is quite time consuming task even using the latest hardware and software technologies. Sorting is one of the key concepts that helps to improve the efficiency of various computational process. Unlike the early single processor or single server operations using monolithic applications, multi-core distributed environments required more advanced computational theories and algorithms. Existing sorting theories are basically derived from linear algorithms and enhanced to support for distributed processing. This research discuss the characteristics of existing parallel sorting algorithms, techniques, limitation. Aim and objective is to introduce a new pure parallel sorting algorithm and sorting architecture that pointing to execute under latest distributed environments. The proposed pattern and the sorting architecture can be used as rule based parallel sorting technique and algorithm to support for any type of distributed environment to sort infinite dataset.

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