Kernel Support for Fine-Grained Load Balancing in a Web Cluster Providing Streaming Service

Chiang, Mei‐Ling; Yang, Chii-Shen; Lien, Shin-Lu

doi:10.1007/978-3-642-33078-0_33

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“…In order to better meet meteorological, water conservancy, aviation, forestry and other needs, this paper can realize the meteorological disaster monitoring of the rural areas, coastal areas, major rivers, major strategic economic zones and geological disasters prone areas, to improve the comprehensive monitoring and early warning, resilience and disaster reduction of the weather disaster [1,2]. At the same times, it can avoid aviation, water conservancy and other departments on weather radar observation network redundant construction, to maximize the investment benefits.…”

Section: Introductionmentioning

confidence: 99%

Research on Load Balance based on Fujian Meteorological Cloud Platform

Zhu¹,

Yang²,

Zhang³

2015

Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering

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Load balancing problem is one of the hot issues in cloud computing. Based on Fujian meteorological cloud platform, the establishment of the model carries out quantification the load status and cluster resource utilization rate of virtual machine, and the improved LC algorithm is proposed with the meteorological data features. The verification shows that this algorithm can improve the load balance of resource utilization and cloud computing.

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Section: Introductionmentioning

confidence: 99%