JDAIP  Vol.2 No.1 , February 2014
A Web Server Cluster Solution Based on Twitter Storm
Abstract: Single Web server would become a bottleneck that influences the availability and stability of Web service. Ten years ago, what had been proposed is to add Web servers for resolving this problem—Web Server Cluster. In recent years, the concept of cloud computing has got rapid development, and is becoming the future development trend of the IT industry. One of the characteristics of cloud computing is putting lots of computing resources together to provide users with a unified service. In this paper, we have proposed a new Cloud-Based Web Server Cluster Solution, based on the existing cloud computing model—Twitter Storm. It involves a new way to handle the web request from client and some other new features compared to the traditional Web Server Cluster. Combining with cloud computing, it would be the new trend of Web Server Cluster, and its feasibility is described in the paper too.
Cite this paper: X. Xia and L. Tian, "A Web Server Cluster Solution Based on Twitter Storm," Journal of Data Analysis and Information Processing, Vol. 2 No. 1, 2014, pp. 6-11. doi: 10.4236/jdaip.2014.21002.

[1]   T.-Y. Li, L. Xu and Z.-Q. Chang, “A New Solution of Web Cluster Based on Network Storage,” Application Research of Computing, Vol. 20, No. 10, 2003, pp. 78-79, 112.

[2]   H. Zhang, “Jee Web Cluster,” InfoQ Enterprise Software Development Community, 2011.

[3]   X. Zhao, W. Wang and W. B. Zhang, “Research on Resource Consolidation of Shared Web Application Server Cluster,” Journal of Frontiers of Computer Science and Technology, Vol. 7, No. 1, 2013, pp. 25-34.

[4]   M. Armbrust, A. Fox and R. Griffith, “A View of Cloud Computing,” Communications of the ACM, Vol. 53, No. 4, 2012, pp. 50-58.

[5]   K. Hwang, G. C. Fox and J. J. Dongarra, “Distributed and Cloud Computing from Parallel Processing to the Internet of Things,” China Machine Press, Beijing, 2013.

[6]   L. Richardson and S. Rudy, “Restful Web Service,” Publishing House of Electronics Industry, Beijing, 2008.

[7]   T. White, “Hadoop: The Definitive Guide,” Tsinghua University Press, Beijing, 2012.

[8]   C. Xu, H. Liu and L. Tan, “New Mechanism of Monitoring on Hadoop Cloud Platform,” Computer Science, Vol. 40, No. 1, 2012, pp. 112-117.

[9]   J. H. Zhao, “Study on Real-Time Data Processing Analysis Tools Based on Twitter Storm,” Shangqing, Vol. 8, 2013, pp. 157, 274.

[10]   N. Marz, “Storm Wiki,” Storm, 2013.

[11]   Y. Pan, C. Gu and Z. H. Liu, “Study on the Application of Structure of Web-Server Cluster and Real-Time Scheduling Algorithms for Multiple Tasks,” Computer Measurement & Control, Vol. 12, No. 1, 2004, pp. 74-76.

[12]   X. Guo, “Building High Performance Web,” Publishing House of Electronics Industry, Beijing, 2009.

[13]   P. Xu, S. Chen and S. Su, “Architecture of PaaS for Internet Applications,” Journal of Beijing University of Posts and Telecommunications, Vol. 35, No. 1, 2012, pp. 120-124.