NDLI: Performance Enhancement of Scheduling Algorithms in Web Server Clusters using Improved Dynamic Load Balancing Policies

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Performance Enhancement of Scheduling Algorithms in Web Server Clusters using Improved Dynamic Load Balancing Policies

Content Provider	Semantic Scholar
Author	Mehta, Hemant Kumar Kanungo, Priyesh Chandwani, Manohar
Copyright Year	2008
Abstract	Processing requirements of internet servers are increasing exponentially. This problem is aggravated with the growing complexity of web based applications and services. It is becoming difficult to manage the website traffic using a single powerful server. To improve the scalability, it is necessary to use web server cluster. However, in a server cluster, processing workload on different servers may vary drastically. Therefore, it is necessary to use dynamic load balancing (DLB) for evenly distributing this bursty workload. With the higher rate of increase in network bandwidth, DLB has now become more relevant. Although, DLB provides a cost effective solution for improving the performance of scheduling algorithms in a server cluster, the existing DLB techniques are not capable of meeting the challenges presented by the rapidly increasing processing requirements. In this paper, we suggest some improvements in present DLB techniques to meet the extra ordinary situations faced by present day web applications. These suggestions are: improving the load balancing strategies to incorporate various essential features, load balancing strategies in grid computing, load balancing strategies for middleware and backend systems, improved dynamic content handling techniques. All the suggested modifications are currently under development.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.bvicam.ac.in/news/INDIACom%202008%20Proceedings/pdfs/papers/249.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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