A Novel Methodology for Capitalizing on Cloud Storage through a Big Data-as-a-Service Framework

Georgios Skourletopoulos , Constandinos X. Mavromoustakis , George Mastorakis , Periklis Chatzimisios , Jordi Mongay Batalla

Abstract

The Big Data-as-a-Service (BDaaS) framework exploits the elastic scalability and analytical data processing capabilities delivered via the cloud, minimizing the complexity and capital expense of on-premises data infrastructure. Since the cloud can be considered as a marketplace, small and large enterprises lease storage and computing capacity based on a negotiated cost approach. In this context, this research work examines a novel methodology for capitalizing earnings on cloud storage level through a big data-as-a-service framework and proposes cloud- inspired quantitative cost and benefits analysis models under the assumption that the demand curves are linear. The proposed modelling approach is evaluated against the conventional high- performance data warehouse appliances on the necessity of possible upgradation of the storage.
Author Georgios Skourletopoulos - University of Nicosia (UNIC) [University of Nicosia]
Georgios Skourletopoulos,,
-
-
, Constandinos X. Mavromoustakis - University of Nicosia (UNIC) [University of Nicosia]
Constandinos X. Mavromoustakis,,
-
-
, George Mastorakis - Technological Educational Insitute of Crete (TEI) [Hellenic Mediterranean University]
George Mastorakis,,
-
-
, Periklis Chatzimisios - Alexander Technological Educational Institute of Thessaloniki (ATEITHE) [Technological Education Institute of Thessaloniki]
Periklis Chatzimisios,,
-
-
, Jordi Mongay Batalla (FEIT / IT) - Instytut Łączności PIB (IŁ PIB) [Instytut Łączności PIB (IŁ PIB)]
Jordi Mongay Batalla,,
- The Institute of Telecommunications
- Instytut Łączności PIB
Pages1-6
Publication size in sheets0.5
Book Proceedings of the 2016 IEEE Globecom Workshops - GC Workshops 2016, 2016, IEEE, ISBN 978-1-5090-2482-7, [978-1-5090-2483-4], 1600 p., DOI:10.1109/GLOCOMW.2016.7848796
Keywords in EnglishCloud computing, Cost benefit analysis, Analytical models, Data models, Business, Data warehouses, Big data
DOIDOI:10.1109/GLOCOMW.2016.7848821
URL https://ieeexplore.ieee.org/document/7848821
ProjectID-based Secure COMmunications system for unified access in IoT. Project leader: Krawiec Piotr, , Phone: +48 22 234 7231, start date 01-04-2014, planned end date 31-03-2017, end date 31-05-2017, IT/2014/badawczy/40, Completed
WEiTI Projects financed by NCRD [Projekty finansowane przez NCBiR (NCBR)]
Languageen angielski
File
2016 Mongay A Novel Methodology for Capitalizing on Cloud.pdf 650.92 KB
Score (nominal)15
Score sourceconferenceIndex
ScoreMinisterial score = 15.0, 10-11-2019, BookChapterMatConfByIndicator
Ministerial score (2013-2016) = 15.0, 10-11-2019, BookChapterMatConfByIndicator
Publication indicators Scopus Citations = 3
Citation count*4 (2019-11-22)
Cite
Share Share

Get link to the record


* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Back
Confirmation
Are you sure?