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Related Experiment Video

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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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A novel deployment method for communication-intensive applications in service clouds.

Chuanchang Liu1, Jingqi Yang1

  • 1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, P.O. Box 187, Number 10, Xi Tu Cheng Road, Haidian District, Beijing 100876, China.

Thescientificworldjournal
|August 21, 2014
PubMed
Summary

This study introduces a novel cloud deployment strategy for communication-intensive applications, combining online and offline methods. The approach optimizes service placement to reduce latency and system load.

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Area of Science:

  • Computer Science
  • Cloud Computing
  • Distributed Systems

Background:

  • Service platforms are migrating to cloud environments to overcome challenges like long deployment times, inefficient resource utilization, and system isolation.
  • Existing cloud deployment methods inadequately address the specific needs of communication-intensive applications.

Purpose of the Study:

  • To propose and evaluate a communication-aware deployment method for efficiently deploying communication-intensive applications in service clouds.
  • To enhance the performance of cloud-based service platforms by minimizing communication overhead.

Main Methods:

  • Designed a system architecture for communication-aware deployment in service clouds.
  • Developed combined online and offline deployment algorithms to optimize service instance placement.
  • Service instances were deployed on optimal cloud nodes by considering communication traffic and inter-node performance.

Main Results:

  • The proposed communication-aware deployment method effectively deploys communication-intensive applications.
  • Experimental results show significant reductions in latency compared to existing algorithms.
  • The approach also demonstrated a lower system load.

Conclusions:

  • The hybrid online-offline deployment strategy is effective for communication-intensive applications in cloud environments.
  • Optimizing deployment based on communication overhead leads to improved performance metrics.
  • This method offers a viable solution for enhancing cloud service platform efficiency.