Mobile Computing and Cloud maturity - Introducing Machine Learning for ERP Configuration Automation

Elena Geanina Ularu (), Florina Camelia Puican (), George Suciu (), Alexandru Vulpe () and Gyorgy Todoran ()

Informatica Economica, 2013, vol. 17, issue 1, 40-52

Abstract: Nowadays the smart phone market is clearly growing due to the new type of functionalities that mobile devices have and the role that they play in everyday life. Their utility and benefits rely on the applications that can be installed on the device (the so-called mobile apps). Cloud computing is a way to enhance the world of mobile application by providing disk space and freeing the user of the local storage needs, this way providing cheaper storage, wider acces-sibility and greater speed for business. In this paper we introduce various aspects of mobile computing and we stress the importance of obtaining cloud maturity by using machine learning for automating configurations of software applications deployed on cloud nodes using the open source application ERP5 and SlapOS, an open source operating system for Decentralized Cloud Computing.

Keywords: Cloud Computing; Mobile Computing; SlapOS; Machine Learning; ERP5 (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.revistaie.ase.ro/content/65/04%20-%20ul ... vulpe,%20todoran.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:aes:infoec:v:17:y:2013:i:1:p:40-52

Access Statistics for this article

Informatica Economica is currently edited by Ion Ivan

More articles in Informatica Economica from Academy of Economic Studies - Bucharest, Romania Contact information at EDIRC.
Bibliographic data for series maintained by Paul Pocatilu ().