The parallel and distributed processing are becoming de facto industry standard, and a large part of the current research is targeted on how to make computing scalable and distributed, dynamically, without allocating the resources on permanent basis. The present article focuses on the study and performance of distributed and parallel algorithms their file systems, to achieve scalability at local level (OpenMP platform), and at global level where computing and file systems are distributed. Various applications, algorithms,file systems have been used to demonstrate the areas, and their performance studies have been presented. The systems and applications chosen here are of open-source nature, due to their wider applicability.

翻译：并行与分布式处理正成为事实上的行业标准，当前研究很大一部分聚焦于如何在不永久分配资源的情况下，动态实现计算的可扩展性与分布式特性。本文重点研究分布式与并行算法及其文件系统的性能表现，旨在实现局部层面（OpenMP平台）与全局层面（计算及文件系统均呈分布式）的可扩展性。通过采用多种应用、算法及文件系统展示相关领域，并呈现其性能研究成果。鉴于开源系统的广泛适用性，本文所选系统及应用均基于开源特性。