Load balancing in distributed query management at web enabled systems
| dc.contributor.author | Vadapalli, Satya | en_GB |
| dc.date.accessioned | 2013-09-26T15:52:50Z | |
| dc.date.available | 2013-09-26T15:52:50Z | |
| dc.date.issued | 2013 | |
| dc.identifier.citation | Vadapalli, S. (2013) 'Load balancing in distributed query management at web enabled systems.' MSC thesis. University of Bedfordshire | en_GB |
| dc.identifier.uri | http://hdl.handle.net/10547/302310 | |
| dc.description.abstract | Every day more and more Business are using web as compulsory medium to provide services. Ever increase in technological advancement leads more devices and applications are accessing web based application around the clock. So single node web applications are prone collapse, designing an application with Distributed frame work and mange those application often reduce the risk of single point failure. In that strategy load balancers plays an important role to direct the traffic to multiple Servers. Existing load balancers are Prone to fail and centralized strategy to distribute the load among the server. Our proposed heuristic based load balancer follows Decentralized approach to solve the problem and our ANN based supervised back propagation technique gives optimized results that existing Load balancers | |
| dc.language.iso | en | en |
| dc.publisher | University of Bedfordshire | en_GB |
| dc.subject | G500 Information Systems | en_GB |
| dc.subject | Load balancing | en_GB |
| dc.subject | Distributed query management | en_GB |
| dc.title | Load balancing in distributed query management at web enabled systems | en |
| dc.type | Thesis or dissertation | en |
| html.description.abstract | Every day more and more Business are using web as compulsory medium to provide services. Ever increase in technological advancement leads more devices and applications are accessing web based application around the clock. So single node web applications are prone collapse, designing an application with Distributed frame work and mange those application often reduce the risk of single point failure. In that strategy load balancers plays an important role to direct the traffic to multiple Servers. Existing load balancers are Prone to fail and centralized strategy to distribute the load among the server. Our proposed heuristic based load balancer follows Decentralized approach to solve the problem and our ANN based supervised back propagation technique gives optimized results that existing Load balancers |
