Revised 2.7.1
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report.lyx
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report.lyx
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@ -2536,12 +2536,11 @@ Load balancing
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\begin_layout Standard
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The need for load balancing varies among different kind of systems.
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Small systems that only use one or a couple of servers can cope with a
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simple implementation of it, while in large systems it is critical to have
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extensive and well working load balancing.
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The need also depends on what kind of server structure that the system
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works on.
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A static structure where the number of servers are predefined or a dynamic
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structure where the number varies.
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simple implementation of load balancing, while in large systems it is useful
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to have extensive and well working load balancing.
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The need also depends on what kind of server structure the system works
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on, a static structure where the number of servers are predefined or a
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dynamic structure where the number varies.
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\begin_inset ERT
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status open
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@ -2560,7 +2559,7 @@ textbf{Amazon EC2}}{A cloud computation service}
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\end_layout
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\begin_layout Standard
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Load balancing and scaling is difficult in different scenarios.
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Load balancing and scaling are difficult in different scenarios.
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When running in a separate server park, there are a set number of servers
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available, this means that an even distribution on all servers is preferable.
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When running the GGS in a cloud, such as Amazon EC2, it is possible to
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@ -2592,7 +2591,7 @@ How do we distribute load on these new servers?
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\begin_layout Standard
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Load balancing is a key component to achieve scalability in network systems.
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The GGS is a good example of a system that needs to be scalable, to attain
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this load balancing is necessary.
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this, load balancing is necessary.
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Optimization of the load balancing for a system is an important task to
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provide a stable and fast load balancer.
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There are certain persistence problems that can occur with load balancing,
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