Proactive virtualized resource management for service workflows in the cloud

@article{Wei2014ProactiveVR,
  title={Proactive virtualized resource management for service workflows in the cloud},
  author={Yi Wei and M. Brian Blake},
  journal={Computing},
  year={2014},
  volume={98},
  pages={523-538}
}
  • Yi Wei, M. Brian Blake
  • Published in Computing 2014
  • Computer Science
  • A Cloud platform offers on-demand provisioning of virtualized resources and pay-per-use charge model to its hosted services to satisfy their fluctuating resource needs. Resource scaling in cloud is often carried out by specifying static rules or thresholds. As business processes and scientific jobs become more intricate and involve more components, traditional reactive or rule-based resource management methods are not able to meet the new requirements. In this paper, we extend our previous work… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-10 OF 12 CITATIONS

    FCE4BPMN: On-demand QoS-based optimised process model execution in the cloud

    VIEW 2 EXCERPTS
    CITES RESULTS

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 13 REFERENCES

    Adaptive Resource Management for Service Workflows in Cloud Environments

    VIEW 5 EXCERPTS

    Adaptive Service Workflow Configuration and Agent-Based Virtual Resource Management in the Cloud*

    • Yi Wei, M. Brian Blake
    • Computer Science
    • 2013 IEEE International Conference on Cloud Engineering (IC2E)
    • 2013
    VIEW 2 EXCERPTS

    Auto-scaling to minimize cost and meet application deadlines in cloud workflows

    • Ming Mao, Marty Humphrey
    • Computer Science
    • 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC)
    • 2011

    Autonomic virtual resource management for service hosting platforms