Recent years have seen rapid growth of online services that rely on large-scale server clusters to handle high volume of requests. Such clusters must adaptively control the CPU ut...
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
— The efforts to construct a national scale Grid computing environment have brought unprecedented computing capacity and complicacy. Exploiting this complex infrastructure requir...
LEACH (Low Energy Adaptive Clustering Hierarchy) [1] is one of the popular cluster-based structures, which has been widely proposed in wireless sensor networks. LEACH uses a TDMA ...
This work focuses on the convergence analysis of adaptive distributed beamforming schemes that can be reformulated as local random search algorithms via a random search framework....