Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"Hadoop Distributed File System (HDFS)"”.
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Research on High-performance and Scalable Data Access in Parallel Big Data Computing
… many dedicated data-intensive storage systems such as Google File System(GFS), Hadoop Distributed File System(HDFS) and Quantcast File System(QFS) have been developed. Currently, the Hadoop Distributed File System(HDFS) [20] is the state-of-art and most popular open-source distributed …
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An Apache Hadoop Framework for Large-Scale Peptide Identification
… handle large peptide data sets. Development of distributed frameworks are needed to reduce the processing time, but this comes at the price of complexity in developing and executing them. In distributed computing, the program may divide into multiple parts to be executed. The work in this thesis …
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Sharing the love : a generic socket API for Hadoop Mapreduce
<p>Hadoop is a popular software framework written in Java that performs data-intensive distributed computations on a cluster. It includes Hadoop MapReduce and the Hadoop Distributed File System (HDFS). HDFS has known scalability limitations due to its single NameNode which holds the entire file …
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Exploiting Heterogeneity in Distributed Software Frameworks
… efficient, high-performance and scalable Distributed Software Frameworks (DSFs), such as MapReduce, Hadoop, Dryad, and Pregel, for supporting data-intensive scientific and enterprise applications on emerging heterogeneous compute, storage and network infrastructure. Large DSF deployments …
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Designing and developing a robust automated log file analysis framework for debugging complex system failure
As engineering and computer systems become larger and more complex, additional challenges around the development, management and maintenance of these systems materialize. While these systems afford greater flexibility and capability, debugging failures that occur during the operation of these …
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Big data storage workload characterization, modeling and synthetic generation
… to Big Data, for which next generation storage systems are being designed and implemented. As Big Data stresses the storage layer in new ways, a better understanding of these workloads and the availability of flexible workload generators are increasingly important to facilitate the proper design …
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GreenHDFS: data-centric and cyber-physical energy management system for big data clouds
… and performance. The underlying storage system distributes file chunks and replicas across the servers for high performance, load-balancing, and resiliency. However, with files distributed across all servers, any server may be participating in the reading, writing, or computation of a …