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As more and more cloud services are provided on the web, composite services will increase exponentially. How to select the optimal services for a given composite service is a important problem and is NP-Hard. This paper proposes a multi-objective service selection algorithm based on MOACS(Multi-Objective Ant Colony System) optimization algorithm for this problem. In this problem, two objectives are...
In order to adapt channel variation and maximize throughput performance, Adapt Modulation and Coding (AMC) is used in Long-Term Evaluation (LTE) downlink. However, due to the wireless channel random variation, inaccurate reported Channel Quality Indicator (CQI) is introduced, which will affect quality of data transmission. Therefore, it is necessary to modify reported CQI in AMC process. Although...
Linear classification is a useful tool in machine learning and data mining. For some data in a rich dimensional space, the performance (i.e., testing accuracy) of linear classifiers has shown to be close to that of nonlinear classifiers such as kernel methods, but training and testing speed is much faster. Recently, many research works have developed efficient optimization methods to construct linear...
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