Project Summary: PLATCOM is an innovative, platform-ready data compression solution designed to address the growing demands of big data management across industries. By leveraging advanced multi-scheme compression algorithms, PLATCOM optimizes data storage and retrieval, reducing infrastructure costs and enhancing data processing efficiency. The tool is particularly suited for sectors that generate and handle vast data volumes, including telecommunications, finance, healthcare, and public sector organizations involved in smart city initiatives.
The project will proceed in distinct phases, focusing initially on evaluating and incorporating new compression algorithms into PLATCOM and then on rigorously testing PLATCOM's performance with real and synthetic datasets. An agile methodology will be adopted to ensure flexibility and continuous improvement of the machine learning algorithms for data clustering and suitable compression algorithm selection, with insights from testing guiding iterative refinements.
PLATCOM aims to deliver a market-ready Minimum Viable Product (MVP) by the project's end, certified and compliant with industry standards. Additionally, it will be equipped with essential features such as advanced data retention options and customizable compression profiles, enhancing its adaptability across various use cases. Key objectives include securing intellectual property rights, generating strategic partnerships, and conducting pilot deployments with early adopters to gather valuable feedback and further validate PLATCOM's real-world effectiveness. Ultimately, PLATCOM is positioned to become a cornerstone solution for data-heavy industries, reducing operational costs, enhancing performance, and supporting data-driven decision-making across a range of applications.

Details:

Programme	Creation and Initial Development of Startups with International Orientation
Proposal Number	PRE-SEED/0824/0230
Proposal Acronym	PLATCOM
Funding	The project is implemented under the programme of social cohesion “THALIA 2021- 2027” co-funded by the European Union, through Research and Innovation Foundation.

PoC: COMPASS is a multiple compression tool utilizing attribute-based signatures. COMPASS exploits K-means clustering to select the best compression scheme for different data subsets in a database. The experimental results show that COMPASS significantly reduces disk space usage compared to monolithic methods. COMPASS

Basic Research: Our preliminary experimental evaluation of our first prototype using three compression algorithms and two real datasets, we observed reduction in storage space, up to ~4% against the competitors. SIBACO