| dc.description.abstract | The traffic and the number of users on the Internet are increasing, and
service providers must respond to this demand if they are not to loose both
customers and revenue. In order to provide a satisfactory level of QoS, the
providers must increase server performance by aggregating multiple physical
host into a web farm, which by working together, sharing the total load of the
requests, will act as one unified server.
Various algorithms and technology exists for performing this load sharing,
and this thesis will introduce a new approach in this field. In the traditional
load balancing (LB) strategies, the requests are pushed to the individual
servers, which are passively forced to accept the requests. The new approach
presented in this paper, differs from the traditional techniques, in that
the servers themselves are more involved in the decision making associated
with load balancing. Requests are stored in a central queue, and the individual
requests is processed by the servers at the server’s own convenience, leaving
the server with full control over it’s own resources.
The paperwill present and compare this algorithmwith the traditional load
balancing algorithms, and investigate possible benefits of this strategy. | en_US |
