The biometric identification system, introduced by Willems et al., is a mathematical model to identify users based on their physical features. Although the maximum rate of the number of users which are reliably dealt ...
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We introduce in this paper an AI-based dynamic network slicing model for resource allocation targeting 5G networks. It does this by using machine learning algorithms that help the model learn and adapt to live traffic...
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Developers of highly configurable performance-intensive software systems often use a type of in-house performance-oriented "regression testing" to ensure that their modifications have not adversely affected ...
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Developers of highly configurable performance-intensive software systems often use a type of in-house performance-oriented "regression testing" to ensure that their modifications have not adversely affected their software's performance across its large configuration space. Unfortunately, time and resource constraints often limit developers to in-house testing of a small number of configurations and unreliable extrapolation from these results to the entire configuration space, which allows many performance bottlenecks and sources of QoS degradation to escape detection until systems are fielded. To improve performance assessment of evolving systems across large configuration spaces, we have developed a distributed continuous quality assurance (DCQA) process called main effects screening that uses in-the-field resources to execute formally designed experiments to help reduce the configuration space, thereby allowing developers to perform more targeted in-house QA. We have evaluated this process via several feasibility studies on several large, widely-used performance-intensive software systems. Our results indicate that main effects screening can detect key sources of performance degradation in large-scale systems with significantly less effort than conventional techniques. Copyright 2005 ACM.
Most caching and prefetching research does not take advantage of prior knowledge of access patterns, or does not adequately address the storage issues associated with multidimensional scientific data. Armed with an ac...
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Most caching and prefetching research does not take advantage of prior knowledge of access patterns, or does not adequately address the storage issues associated with multidimensional scientific data. Armed with an access pattern specified at run time as an iteration over a multidimensional array stored as a disk file, we use prefetching to greatly reduce the number of disk accesses and mitigate the cost of read latency. We call this iteration aware prefetching. We assume the pattern of access is not known until runtime, in contrast to chunking methods that preprocess a file for a particular access pattern. Our approach results in dramatic performance improvements over file system caching. We also significantly outperform chunking without having to reorganize the data, and can do even better by applying our approach on top of a chunked file.
Many approaches have been developed to make intelligent moves imitating rational decision-makers. Game theory provides a theoretical framework that can be efficiently employed in solving complex optimization problems....
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One of the great challenges to be faced in order to enable the success of future Web-based applications is to find effective ways to handle with the interoperability demands. In this context, Service-Oriented Architec...
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Inferring the exact topology of the interactions in a large, stochastic dynamical system from time-series data can often be prohibitive computationally and statistically without strong side information. One alternativ...
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De-identification (de-ID) refers to removing the association between a set of identifying data and the data subject. In clinical data management, the de-ID of Protected Health Information (PHI) is critical for patient...
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Jabbari Arfaee, Zilles, and Holte presented the bootstrap learning system, a system that learns strong heuristic functions for state-space problems. They showed that IDA* with a bootstrap heuristic is able to quickly ...
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IoT-driven automatic vehicle accident rescue system implemented with Proteus is an inventive solution aimed at enhancing emergency response and rescue operations following vehicle accidents. Given the rising vehicle u...
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