A deployment platform for dynamically scaling applications in the cloud

Rui Han, Li Guo, Yike Guo*, Sijin He

*Corresponding author for this work

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

16 Citations (Scopus)

Abstract

Simplifying the process of deploying applications is almost essential in the cloud. However, existing techniques can automate applications' initial deployment but have not yet adequately addressed their dynamic scaling problems. In this paper, a deployment platform to enable a novel dynamic scaling technique is introduced. This platform employs: (i) an extensible specification that describes all aspects of applications; (ii) a flexible analytical model that determines how many servers to be deployed for an application in each scaling. The platform's ability to handle dynamic workloads and to scale applications quickly enough to maintain the response time target is demonstrated.

Original languageEnglish
Title of host publicationProceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2011
Pages506-510
Number of pages5
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2011 - Athens, Greece
Duration: 29 Nov 20111 Dec 2011

Publication series

NameProceedings - 2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2011

Conference

Conference2011 3rd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2011
Country/TerritoryGreece
CityAthens
Period29/11/111/12/11

Keywords

  • Applications
  • Cloud computing
  • Deployment
  • Dynamic scaling
  • Platform

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