Data processing component of the Velox Big Data Framework (VBDF)

Operating systems course at the Hebrew university.

This assignment uses the Map-Reduce model for finding the perfect numbers existent in a large set of input files. The Mappers dynamically parse the input files and search for perfect numbers and the Reducers combine for each exponent the results.

Implementation of distributed, multithreaded, multi-process fault-tolerant MapReduce library.

Distributed MapReduce algorithm for indexing words from a list of files

Implement Google's Page-rank algorithm as a map-reduce problem using MPI communication

MapReduce-MPI Library

Circle: deploy efficient cluster map-reduce tasks without explicit use of MPI

Projects of the operating system course (Spring02) at the University of Tehran.

Simple MapReduce model implementation in C++

🎓💻University of Tehran OS Course Projects - Fall 2021

Distributed Computing Protocol based on Map-Reduce Computing Paradigm.

Counts the word occurrences in a file

We implemented a lightweight MapReduce framework using C++. It's a cross-platform framework which has been validated on Windows(cygwin), Linux(Redhat, Ubuntu) and Mac OS. The framework itself is based on a distributed file system (like AFS) for temporary file sharing, but sshfs may work as well but not yet tested.