Dynamic resource provisioning for data streaming applications in a cloud environment

Smita Vijayakumar, Qian Zhu, Gagan Agrawal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

35 Scopus citations

Abstract

The recent emergence of cloud computing is making the vision of utility computing realizable, i.e., computing resources and services from a cloud can be delivered, utilized, and paid for in the same fashion as utilities like water or electricity. Current cloud service providers have taken some steps towards supporting the true pay-as-you-go or a utility-like pricing model, and current research points towards more fine-grained allocation and pricing of resources in the future. In such environments, resource provisioning becomes a challenging problem, since one needs to avoid both underprovisioning (leading to application slowdown) and overprovisioning (leading to unnecessary resource costs). In this paper, we consider this problem in the context of streaming applications. In these applications, since the data is generated by external sources, the goal is to carefully allocate resources so that the processing rate can match the rate of data arrival. We have developed a solution that can handle unexpected data rates, including the transient rates. We evaluate our approach using two streaming applications in a virtualized environment.

Original languageEnglish (US)
Title of host publicationProceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010
Pages441-448
Number of pages8
DOIs
StatePublished - 2010
Externally publishedYes
Event2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010 - Indianapolis, IN, United States
Duration: Nov 30 2010Dec 3 2010

Publication series

NameProceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010

Conference

Conference2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010
CountryUnited States
CityIndianapolis, IN
Period11/30/1012/3/10

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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