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We propose GraphD, an out-of-core Pregel-like system targeting efficient big graph processing with a small cluster of commodity PCs connected by Gigabit Ethernet, an environment affordable to most users. This is in contrast to some recent efforts for out-of-core graph computation with specialized hardware. In our setting, a vertex-centric program is often data-intensive, since the CPU cost of calculating...
In this paper, we propose a novel resource allocation (RA) scheme based on interference minimization (IM) for cognitive radio networks (CRN). In the approach, we focus on an efficient scheme of subchannels assignment, power allocation and access control for the orthogonal frequency division multiple access (OFDMA)-based secondary users (SUs), accessing licensed spectrums of primary users (PUs) with...
Cognitive Radio (CR) is viewed as a novel approach for improving the utilization of the radio electromagnetic spectrum. The radio spectrum is a scarce resource while wide spectral ranges are only rarely used. Spectrum Pooling enabling public access to these new spectral ranges without sacrificing the transmission quality of the actual license owners. However, in the Spectrum Pooling system, the interference...
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