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In most existing cloud services, a centralized controller is used for resource management and coordination. However, such infrastructure is gradually not sufficient to meet the rapid growth of mega data centers. In recent literature, a new approach named devolved controller was proposed for scalability concern. This approach splits the whole network into several regions, each with one controller to...
With the growth of the Cloud Computing paradigm, a new challenge appears in the development of data centers: energy efficient load balancing in a dynamic and scalable environment with an undefined number of heterogeneous resources. In this context, considering that idle servers consume up to 60% of peak energy and the fact that usually the level of usage for a server is 20–30%, new load balancing...
The cloud computing provides better management and utilization of underlying infrastructures with resource virtualization. However, most of existing load balance models are unable to meet the special requirements of business such as the imbalance of peak period, the impact of nonlinear cross between varieties of business. Thus the reliability, scalability and self-organization of service becomes a...
Weighted round robin load balancing is a common routing policy offered in cloud load balancers. However, there is a lack of effective mechanisms to decide the weights assigned to each server to achieve an overall optimal revenue of the system. In this paper, we first experimentally explore the relation between probabilistic routing and weighted round robin load balancing policies. From the experiment...
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