Distributed Compilation System for High-Speed Software Build Processes

TL;DR

This paper introduces a distributed compilation system that leverages idle computer resources to significantly reduce software build times, achieving up to 65% speed improvements over traditional methods.

Contribution

It presents a novel distributed compilation system that efficiently utilizes idle resources for faster software builds, addressing the challenge of processing large codebases.

Findings

Achieves up to 65% reduction in compilation time.

Effectively utilizes idle computer resources for distributed processing.

Demonstrates significant speedup over non-distributed systems.

Abstract

The idle time of personal computers has increased steadily due to the generalization of computer usage and cloud computing. Clustering research aims at utilizing idle computer resources for processing a variable workload on a large number of computers. The workload is processed continually despite the volatile status of the individual computer resources. This paper proposes a distributed compilation system for improving the processing speed of CPU-intensive software compilations. This significantly reduces the compilation time of mass sources by using the idle resources. We expect gains of up to 65% compared to non-distributed compilation systems.