A Scalable - High Performance Lightweight Distributed File System

Nowadays, distributed computing is developing significantly and comes with many strengths since it could decrease the cost of resources while increasing performance. Distributed systems also provide good storage for big data, which requires access to data at a high rate. Because of multiprocessing, this kind of system can improve the response time and number of simultaneously handled requests. However, these systems can bring high performance and the ability to serve with any kind of data, but their architecture is very complex and costs much time and effort to implement. This paper will introduce a Lightweight Distributed File System, which focuses mainly on storage and accessing data to improve the performance of a system. In the performance, measurements show that the system has good I/O performance and scalability, handles up to 5000 requests per second for small files. The paper also contributes to the proposed system three main techniques to improve the scalability and performance, which are a clique, flat file, and consistent hashing.