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High-quality I/O virtualization (that is, complete device semantics, full-feature set, close-to-native performance and real-time response) is critical to both server and client virtualizations. Existing solutions for I/O virtualization (e.g., full device emulation, paravirtualization and direct I/O) cannot meet the requirements of high-quality I/O(More)
Server consolidation, by running multiple virtual machines on top of a single platform with virtualization, provides an efficient solu-tion to parallelism and utilization of modern multi-core processors system. However, the performance and scalability of server con-solidation solution on modern massive advanced server is not well addressed. In this paper,(More)
To help users better understand the potential risks associated with publishing data publicly, as well as the quantity and sensitivity of information that can be obtained by combining data from various online sources, we introduce a novel information exposure detection framework that generates and analyzes the web footprints users leave across the social(More)
Discounted Cost Register Automata (DCRA) associate costs with strings in a regular manner using the operation of discounted sum. The min-cost optimization problem for DCRAs corresponds to computing shortest paths in graphs with more general forms of discounting than the well-studied notion of future discounting. We present solutions to two classes of such(More)
Stochastic models of biological evolution generally assume that different characters (runs of the stochastic process) are independent and identically distributed. In this article we determine the asymptotic complexity of detecting dependence for some fairly general models of evolution, but simple models of dependence. A key difference from much of the(More)
To help users better understand the potential risks associated with publishing data publicly, and the types of data that can be inferred by combining data from multiple online sources, we introduce a novel information exposure detection framework that generates and analyzes the web footprints users leave across the social web. We propose to use(More)
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