Global ETD Search
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Showing 1 to 5 of 5 for “"large scale data processing"”.
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Performance modeling framework for SLO-driven MapReduce environments
… are increasingly using MapReduce for efficient large scale data processing such as personalized advertising, spam detection, and data mining tasks. There is a growing need among MapReduce users to achieve different Service Level Objectives (SLOs). Often, applications need to complete data …
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Flexible and efficient computation in large data centres
… online computer applications rely on large-scale data analyses to offer personalised and improved products. These large-scale analyses are performed on distributed data processing execution engines that run on thousands of networked machines housed within an individual data centre. …
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Cost-Effective Resource Configurations for Executing Data-Intensive Workloads in Public Clouds
The rate of data growth in many domains is straining our ability to manage and analyze it. Consequently, we see the emergence of computing systems that attempt to efficiently process data-intensive applications or I/O bound applications with large data. Cloud computing offers “infinite” resources …
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A Data-driven Approach for Real-time Decision Support in Online Surgery Scheduling
… operations. With the strong growth of generated data and the digitization of business processes that make previously unobtrusive business elements become more visible, and their combination with large-scale data processing technologies and intelligent methods of the fields of AI or Analytics, new …
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Scalable and Efficient Graph Algorithms and Analysis Techniques for Modern Machines
… environments can handle such volumes of data. Unfortunately, despite the availability of such resources, many current graph algorithms do not take full advantage of these parallel and distributed environments or have non-optimal theoretical guarantees, translating to slower and less …