A Performance Isolation Mechanism Based on Fuzzy Technique for Web Server Load Balancing

2009 ◽  
Vol E92-B (4) ◽  
pp. 1086-1093
Author(s):  
Bumjoo PARK ◽  
Kiejin PARK ◽  
Bongjun KIM
Author(s):  
Ibrahim Mahmood Ibrahim ◽  
Siddeeq Y. Ameen ◽  
Hajar Maseeh Yasin ◽  
Naaman Omar ◽  
Shakir Fattah Kak ◽  
...  

Today, web services rapidly increased and are accessed by many users, leading to massive traffic on the Internet. Hence, the web server suffers from this problem, and it becomes challenging to manage the total traffic with growing users. It will be overloaded and show response time and bottleneck, so this massive traffic must be shared among several servers. Therefore, the load balancing technologies and server clusters are potent methods for dealing with server bottlenecks. Load balancing techniques distribute the load among servers in the cluster so that it balances all web servers. The motivation of this paper is to give an overview of the several load balancing techniques used to enhance the efficiency of web servers in terms of response time, throughput, and resource utilization. Different algorithms are addressed by researchers and get good results like the pending job, and IP hash algorithms achieve better performance.


Author(s):  
Abhijit Bora ◽  
Tulshi Bezboruah

Reliability of loosely coupled services through the paradigm of service-oriented computing and observing their fault tolerance against massive load in clustered load balancing web server plays an important role while evaluating the quality aspects of software-as-a-service (SaaS), grid, and distributed systems. This chapter shows some aspects of service execution while observing their failure records against massive execution of server-side instruction. A novel reliability estimation framework is proposed that can be deployed for evaluating the reliability of service execution over clustered load balancing web server. A load generating tool is used to generate massive load over the service execution. In this study we will discuss an experimental system and its architecture by using clustered load balancing web server, the reliability estimation framework along with the goodness of fit study through statistical analysis. The overall assessment of the work will validate the applicability of the proposed framework for the loosely coupled service in clustered load balancing web server.


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