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Orchestrating Resource Allocation for Interactivevs. Batch Services using a Hybrid Controller
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Cost efficient batch processing in amazon cloud with deadline awareness
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Two-timescale learning automata for solving stochastic nonlinear resource allocation problems
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Towards a Hybrid Cloud Platform Using Apache Mesos
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Concept drift detection using online histogram-based bayesian classifiers
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On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth
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Recovering Request Patterns to a CPU Processor from Observed CPU Consumption Data
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Solving Stochastic Root-Finding with adaptive d-ary search
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On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
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A Queue Model for Reliable Forecasting of Future CPU Consumption
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Incremental Quantiles Estimators for Tracking Multiple Quantiles
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A General Formalism for Defining and Detecting OpenFlow Rule Anomalies
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Building domain specific sentiment lexicons combining information from many sentiment lexicons and a domain specific corpus
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Saving the planet with bin packing - Experiences using 2D and 3D bin packing of virtual machines for greener clouds
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Hadoop mapreduce scheduling paradigms
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Parameter estimation in abruptly changing dynamic environments using stochastic learning weak estimator
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Solving Stochastic Point Location Problem in a Dynamic Environment with Weak Estimation
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Achieving Connectivity between Wide Areas Through Self-Organising Robot Swarms using Embodied Evolution
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On the analysis of a random walk-jump chain with tree-based transitions and its applications to faulty dichotomous search