Towards the evaluation of a big data-as-a-service model: A decision theoretic approach

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The rise of large data centers has created new business models, where businesses can lease storage and computing capacity and pay only for the storage they actually use, rather than making the large capital investments needed to construct and provision large-scale computer installations. In this context, investments in big-data computing are rapidly gaining ground, having extraordinary near-term and long-term benefits. The mobile cloud can be considered as a marketplace, where the storage and computing capabilities of the mobile cloud-based system architectures can be leased off. However, cloud storage is not less expensive, only that it incurs operating rather than capital expenses. This paper elaborates on a novel cost analysis model, adopting a non-linear and asymmetric approach. The proposed modelling aims to evaluate the adoption of a big data-as-a-service business model against the traditional high-performance data warehouse appliances that exist in the market in order to inform effective and strategic decision making. The lease of cloud storage is investigated, when developing the mathematical formulas, and the research approach is examined with respect to the cost that derives from the unused storage. Possible upgradation of the storage and the risk of entering into new and accumulated costs in the future are also considered in this study. A quantification tool has been also developed as a proof of concept (PoC), implementing the proposed quantitative model and intending to shed light on the adoption of big data-as-a-service business models.

Original languageEnglish
Title of host publication2016 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages877-883
Number of pages7
Volume2016-September
ISBN (Electronic)9781467399555
DOIs
Publication statusPublished - 6 Sept 2016
Event35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016 - San Francisco, United States
Duration: 10 Apr 201614 Apr 2016

Other

Other35th IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2016
Country/TerritoryUnited States
CitySan Francisco
Period10/04/1614/04/16

Keywords

  • big data-as-a-service
  • business model evaluation
  • cost analysis
  • decision theory
  • mobile cloud computing architectures
  • non-linear modelling

Fingerprint

Dive into the research topics of 'Towards the evaluation of a big data-as-a-service model: A decision theoretic approach'. Together they form a unique fingerprint.

Cite this