Design of Cloud Load Balance Architecture for Web Servers

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Cloud services are widely used in manufacturing, logistics, digital applications, and document processing. Cloud services must be able to handle tens of thousands of concurrent requests and to enable servers to seamlessly provide the amount of load balance capacity needed in response to incoming application traffic in addition to allowing users to obtain information quickly and accurately. In the past, scholars proposed using static load balance or server response times to evaluate load balance capacity, both of which cause the server to load unevenly, and in this study, a dynamic annexed balance method is used to solve this problem.

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877-880

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May 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Haakon Bryhni: A comparison of load balance techniques for scalable Web servers, IEEE Transaction on Network, Vol. 14, No. 4 (2000), pp.58-64.

DOI: 10.1109/65.855480

Google Scholar

[2] Wensong Zhang: Linux Virtual Server for Scalable Network Services, Ottawa Linux Symposium (2000).

Google Scholar

[3] T. Kokilavani, G. A. DI: Load Balanced Min-Min Algorithm for Static Meta-Task Scheduling in Grid Computing, International Journal of Computer Applications, Vol. 20, (2011), pp.42-48.

DOI: 10.5120/2403-3197

Google Scholar

[4] L.H. Chang, D.J. Wang, K.C. Lai: Network Gateway Design and Implementation Using Dynamic Load Balance, Journal of Internet Technology, Vol. 5, No. 1 (2004), pp.19-25.

Google Scholar

[5] L.H. Chang, C.F. Tai, D.J. Wang, K.C. Lai: Auto-tuned Load balance of Multihoming Gateway, Proceedings of 2004 Symposium on Digital Life and Internet Technologies, (2004).

Google Scholar

[6] John N. Daigle: Queuing Theory for Telecommunications, Addison-Welsey Publish Company (1992).

Google Scholar

[7] S.L. Chen, Y.Y. Chen, C. Hsu: A New Approach to Integrate Internet-of-Things and Software- as-a-Service Model for Logistic Systems: A Case Study, SENSORS, vol. 2014, No. 4, (2014), pp.6144-6144.

DOI: 10.3390/s140406144

Google Scholar

[8] S.L. Chen, Y.Y. Chen, H.P. Wang, C. Hsu: ICISLM: Design of an Integrated Cloud Information System for Logistic Management Based on Web Server Virtualization, Intelligent Data analysis and its Applications, Vol. I (2004) pp.79-86.

DOI: 10.1007/978-3-319-07776-5_9

Google Scholar

[9] S.L. Chen, H.P. Wang, Y.Y. Chen, C. Hsu: Development of Software-as-a-Service Cloud Computing Architecture for Manufacturing Management Systems Based on Virtual COM Port Driver Technology, Applied Mechanics and Materials, Vol. 479-480, No. 5 (2013).

DOI: 10.4028/www.scientific.net/amm.479-480.1023

Google Scholar

[10] Y.Y. Chen, S.L. Chen, Y.H. Hsiao, S.R. Wang: A Novel Framework for Agent-Based Production Remote Monitoring System Design: A Case Study of Injection Machines, Advances in Mechanical Engineering, Vol. 2013 (2013).

DOI: 10.1155/2013/516061

Google Scholar

[11] S.L. Chen, Y.Y. Chen, H.P. Wang, C. Hsu: Development of Logistic Management Information System Based on Web Service Architecture and RFID Technology, " Applied Mathematics & Information Sciences, Vol. 7, No. 3 (2013), pp.939-946.

DOI: 10.12785/amis/070311

Google Scholar