uCash: ATM Cash Management as a Critical and Data-intensive Application

Terpsichori-Helen Velivassaki, Panagiotis Athanasoulis, Panagiotis Trakadas

2019

Abstract

Distributed cloud databases wrapped with streaming analytics modules provide nowadays quick response to increasingly demanding real-time applications, relying on fast analytical and online processing of enormous amounts of data or very frequently updated. However, time-critical applications, dealing with sensitive data, typically run on mainframes, cannot fully benefit from existing solutions. Such applications can be found in Banking, Financial Services and Insurance (BFSI) industry, one notable being the ATM cash management. The paper presents uCash, an ATM cash management system, running on top cloud analytics appliances, which can be hosted insite. The proposed system allows data processing and Key Performance Indicators (KPIs) calculation and communication among diverse actors, resulting in highly efficient cash management over large ATM networks.

Paper Citation

in Harvard Style

Velivassaki T., Athanasoulis P. and Trakadas P. (2019). uCash: ATM Cash Management as a Critical and Data-intensive Application.In Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA, ISBN 978-989-758-365-0, pages 642-647. DOI: 10.5220/0007876606420647

in Bibtex Style

@conference{aditca19,
author={Terpsichori-Helen Velivassaki and Panagiotis Athanasoulis and Panagiotis Trakadas},
title={uCash: ATM Cash Management as a Critical and Data-intensive Application},
booktitle={Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA,},
year={2019},
pages={642-647},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007876606420647},
isbn={978-989-758-365-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Cloud Computing and Services Science - Volume 1: ADITCA,
TI - uCash: ATM Cash Management as a Critical and Data-intensive Application
SN - 978-989-758-365-0
AU - Velivassaki T.
AU - Athanasoulis P.
AU - Trakadas P.
PY - 2019
SP - 642
EP - 647
DO - 10.5220/0007876606420647