loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Duc-Tien Dang-Nguyen ; Manoj Kesavulu and Markus Helfert

Affiliation: Dublin City University and Lero - Irish Software Research Organisation, Ireland

Keyword(s): Usage Analytics, Cloud-based Applications, User Satisfaction, Resource Provisioning.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Energy and Economy ; Enterprise Information Systems ; Internet of Things ; Internet-Enabled Infrastructures and Services ; Mechanisms for Motivating Behaviour Change ; Sensor Networks ; Smart Cities ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications

Abstract: Usage in the software field deals with knowledge about how end-users use the application and how the application reacts to the users’ actions. In a complex and heterogeneous cloud computing environment, the process of extracting and analysing usage data is difficult since the usage data is spread across various front-end interfaces and back-end underlying infrastructural components of the cloud that host the application. In this paper we propose Usage Analytics, a set of potential research directions that could help tackle various challenges in the cloud domain. We provide an overview of usage analytics in the cloud environment and propose how to discover insights using these analytics solutions. We give some discussions about challenges in discovering insights from the usage data as well as provide vision of how usage data will bring benefits to the cloud environment.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.221.238.204

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Dang-Nguyen, D.; Kesavulu, M. and Helfert, M. (2018). Usage Analytics: Research Directions to Discover Insights from Cloud-based Applications. In Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS; ISBN 978-989-758-292-9; ISSN 2184-4968, SciTePress, pages 254-261. DOI: 10.5220/0006764002540261

@conference{smartgreens18,
author={Duc{-}Tien Dang{-}Nguyen. and Manoj Kesavulu. and Markus Helfert.},
title={Usage Analytics: Research Directions to Discover Insights from Cloud-based Applications},
booktitle={Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS},
year={2018},
pages={254-261},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006764002540261},
isbn={978-989-758-292-9},
issn={2184-4968},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - SMARTGREENS
TI - Usage Analytics: Research Directions to Discover Insights from Cloud-based Applications
SN - 978-989-758-292-9
IS - 2184-4968
AU - Dang-Nguyen, D.
AU - Kesavulu, M.
AU - Helfert, M.
PY - 2018
SP - 254
EP - 261
DO - 10.5220/0006764002540261
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic