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Web Load Balancing Based on DNS Coordination and Reducing Energy Consumption Strategy

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Journal of Signal Processing Systems Aims and scope Submit manuscript

A Correction to this article was published on 19 November 2019

A Correction to this article was published on 01 October 2018

This article has been updated

Abstract

With the massive application of Web services and streaming media, Web cluster deployment in a single physical area can no longer meet the network requirements. Currently, with a range of WAN Web cluster deployment, the delegation points can access the nearest Web cluster and reduce the average distance of data flow, thus reducing network latency. Therefore, it is particularly important for cluster load balancing to quickly obtain access node information and redirect Web clusters that need to be accessed by the nodes. At the same time, the power consumption of computers and the power consumption of multi-area deployment of Web clusters are huge, and more computer resources are wasted in the low-access period, so it is also essential to reduce the power consumption of the entire load balancing. In order to solve the above two problems, this paper proposes a web load balancing method which can reduce the energy consumption of the cluster and DNS collaboration. It provides information for accessing the nodes to the load balancing and uses the cosine distance to quickly locate the web clusters that the nodes need to access. Meanwhile, Cluster energy consumption strategy to reduce the energy consumption of the entire cluster.

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Change history

  • 01 October 2018

    The original version of this article unfortunately contained some mistakes. The corrections are shown below and in the current version.

  • 19 November 2019

    The Publisher regrets an error on the printed front cover of the October 2019 issue. The issue numbers were incorrectly listed as Volume 91, Nos. 10-12, October 2019. The correct number should be: "Volume 91, No. 10, October 2019"

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Authors and Affiliations

  1. Institute of Data and Knowledge Engineering, Henan University, Kaifeng, Henan, China

    Zhijie Han & Yalu Wang

  2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Network, Nanjing, Jiangsu, China

    Zhijie Han

  3. School of Sofeware Henan University, Kaifeng, Henan, China

    Hui Zhao

Authors
  1. Zhijie Han
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  2. Yalu Wang
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  3. Hui Zhao
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Correspondence to Zhijie Han.

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Han, Z., Wang, Y. & Zhao, H. Web Load Balancing Based on DNS Coordination and Reducing Energy Consumption Strategy. J Sign Process Syst 91, 1091–1101 (2019). https://doi.org/10.1007/s11265-018-1404-5

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  • DOI: https://doi.org/10.1007/s11265-018-1404-5

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