Abstract
The continuing growth of the World-Wide Web is placing increasing demands on popular Web servers. Many of the sites are now using distributed Web servers (i. e., groups of machines) to service the increasing n umber of client requests, as a single server cannot handle t he workload. Incoming client requests must be distr ibuted in some fashion among the machines in the distributed Web server to improve the performance. In the existing work, reducing the high message complexity is a challenge. This study introduces a novel algorithm, wh ich has low message complexity named Load Distribution by dynamically Fixing input to the server using Mobile agent (LDFM) which distributes the incoming request, as i t arrives from the client world, to avoid overloadi ng of the distributed web servers. LDFM uses prefetch techniques to balance the load among the distributed web s ervers. Mobile agents are susceptible to failure. This issu e is also addressed to bring reliability to the alg orithm. The simulation results confirm that the proposed method is reliable. The relative improvement in throughpu t, comparing with the exiting methods is appreciable.
Highlights
The exponential increase in demand for web services network bandwidth as the dispatcher and the multi makes distributed multiserver system the preferred servers communicate with each other
This study introduces a novel algorithm, which has low message complexity named Load Distribution by dynamically Fixing input to the server using Mobile agent (LDFM) which distributes the incoming request, as it arrives from the client world, to avoid overloading of the distributed web servers
The mobile management unit in the dispatcher receives the load information and multiserver system improves the performance of the servers (Pao and Chen, 2006)
Summary
The exponential increase in demand for web services network bandwidth as the dispatcher and the multi makes distributed multiserver system the preferred servers communicate with each other. Balancing the workload in a distributed multiserver is critical to improve the reduce the message complexity in the system due to load balancing This results in conserving the bandwidth performance (Jie and Kameda, 1998). Mobile agent is used to collect the load information balancing policy is updated with load information of the of the server proactively and to communicate the load servers in the distributed environment. The mobile management unit in the dispatcher receives the load information and multiserver system improves the performance of the servers (Pao and Chen, 2006). Based on the rank of the server, system, the collection of load information about server and scheduling of job among servers is done by the the mobile management unit updates the dispatcher table in the dispatcher.
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