Dynamic prediction on an e-health application based on varying scalability parameters

Avraam Giogourtsoglou, Marinos Themistocleous, Dimosthenis Kyriazis

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

Abstract

This paper focuses on the creation of a model for dynamic resource prediction. This is achieved by analysing the behaviour of a service, which is installed in cloud computing infrastructures. As a result, we aim to create a service performance prediction model. Based on this model, we expect that the performance of a service can be predicted, when the values of parameters that influence it are changing. Thus, specifying the desired performance of a service and the changes depending on the parameters, one can increase or decrease the resources used. We used a representative case study of an e-health application that has been developed in PINCLOUD project.

Original languageEnglish
Title of host publicationProceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
EditorsKostantinos Lambrinoudakis, Vincenzo Morabito, Marinos Themistocleous
PublisherEuropean and Mediterranean Conference on Information Systems
ISBN (Electronic)9789606897085
Publication statusPublished - 2015
Externally publishedYes
Event12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015 - Athens, Greece
Duration: 1 Jun 20152 Jun 2015

Publication series

NameProceedings of the 12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015

Conference

Conference12th European, Mediterranean and Middle Eastern Conference on Information Systems, EMCIS 2015
Country/TerritoryGreece
CityAthens
Period1/06/152/06/15

Keywords

  • Cloud computing
  • Cloud services
  • Performance
  • Prediction
  • Prediction model
  • Resource elasticity

Fingerprint

Dive into the research topics of 'Dynamic prediction on an e-health application based on varying scalability parameters'. Together they form a unique fingerprint.

Cite this