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Performance modeling of cloud computing centers is a challenging task due to complexity, shared resources and large scale of such systems. Introducing heterogeneous resources and workloads make the analysis even more complicated. In this paper, we propose a layered stochastic performance model applicable to cloud centers with wide range of heterogeneous physical and virtual resources as well as task...
In this paper we discuss about our new clustering algorithm (ALEC) by modeling the CH and non CH nodes during set-up and steady-state phases of the algorithm. We investigate the effects of event sensing reliability and number of clusters on the network lifetime. We also analyze the power consumption and delay overheads of the clustering algorithm. According to the results, energy consumption overhead...
When a channel-hopping cognitive network experiences a collision with primary user transmission, it may re-form the network by repeating the network formation (rendezvous) procedure, which is costly and time-consuming, or attempt to recover by re establishing operation on an idle channel from a predefined backup set. In this paper we analyze a practical recovery mechanism implemented atop the transmission...
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