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Optimizing the performance of a multi-core microprocessor within a power budget has recently received a lot of attention. However, most existing solutions are centralized and cannot scale well with the rapidly increasing level of core integration. While a few recent studies propose power control algorithms for many-core architectures, those solutions assume(More)
We address the problem of fairness in a feedback-controlled multicast video distribution scheme. In a fair scheme each receiver should receive a video stream with a quality that is commensurate with its capabilities or the capabilities of the path leading to it, regardless of other receivers or network paths. This fairness problem results from the fact that(More)
Collaborative filtering is regarded as one of the most promising recommendation algorithms. The item-based approaches for collaborative filtering identify the similarity between two items by comparing users' ratings on them. In these approaches, ratings produced at different times are weighted equally. That is to say, changes in user purchase interest are(More)
Radio-frequency identification technology provides promising benefits such as inventory visibility and business process automation. However, if companies are to realize these benefits, researchers must address major challenges such as data processing, integration architecture design, security, and privacy. T he ability to uniquely identify individual(More)
The performance optimization of query processing in spatial networks focuses on minimizing network data accesses and the cost of network distance calculations. This paper proposes algorithms for network k-NN queries, range queries, closest-pair queries and multi-source skyline queries based on a novel processing framework, namely, incremental lower bound(More)