Titlebook: Big Data Benchmarks, Performance Optimization, and Emerging Hardware; 4th and 5th Workshop Jianfeng Zhan,Rui Han,Chuliang Weng Conference p

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Introduction to Arakelov Theorylt tolerance. For MapReduce applications, achieving low job execution time is critical. Since a majority of the existing clusters today are equipped with modern, high-speed interconnects such as InfiniBand and 10 GigE, that offer high bandwidth and low communication latency, it is essential to study

Seminar

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https://doi.org/10.1007/978-3-031-41985-0tion approaches. Newer data storage systems, such as MySQL Cluster and HBase, have been proposed for R data storage; while the parallel computation frameworks, including MPI and MapReduce, have been applied to R computation. Thus, it is difficult to understand the whole analysis workflows for which

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First- and Second-Class Happiness,deos with metadata (e.g., geospatial properties), which are captured using the sensors available on these devices, are being collected. Clearly, a computing infrastructure is needed to store and manage this ever-growing large-scale video dataset with its structured data. Meanwhile, cloud computing s

Folklore

Ontology (Ousiology) and Theology, BigTable, HBase, Cassandra, Azure and many others are designed to handle a large number of concurrent requests performed on the cloud end. Such systems can elastically scale out to thousands of commodity hardware by using a shared nothing distributed architecture. This implies a strong need of data

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Mutter

Ontology (Ousiology) and Theology,ich directed affects the resource utilization and SLA and customer satisfaction. But before any management strategy is made, a good understanding of applications’ workload in virtualized environment is the basic fact and principle to the resource management methods. Unfortunately, little work has be

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DEMN

General problems in aroma research, .. . not only covers performance anomaly detection but also root cause inference, both of which are conducted under the consideration of operation context of big data applications. The performance anomaly detection procedure is adopted to trigger the cause inference procedure and accomplished by ch

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General problems in aroma research,a large number of companies who have adopted Hadoop for their business purposes. One of the configuration parameters that influences the resource allocation and thus the performance of a Hadoop application is map slot value (MSV). MSV determines the number of map tasks that run concurrently on a nod