Big Data Benchmarking: 5th International Workshop, WBDB by Tilmann Rabl, Kai Sachs, Meikel Poess, Chaitanya Baru,

By Tilmann Rabl, Kai Sachs, Meikel Poess, Chaitanya Baru, Hans-Arno Jacobson

This booklet constitutes the completely refereed post-workshop complaints of the fifth foreign Workshop on immense info Benchmarking, WBDB 2014, held in Potsdam, Germany, in August 2014.

The thirteen papers awarded during this ebook have been conscientiously reviewed and chosen from a number of submissions and canopy issues reminiscent of benchmarks requisites and recommendations, Hadoop and MapReduce - within the varied context comparable to virtualization and cloud - in addition to in-memory, info iteration, and graphs.

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Big Data Benchmarking: 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers (Lecture Notes in Computer Science)

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Extra info for Big Data Benchmarking: 5th International Workshop, WBDB 2014, Potsdam, Germany, August 5-6- 2014, Revised Selected Papers (Lecture Notes in Computer Science)

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EDBT, pp. 454–464. ACM (2013) 24. Transaction Processing Performance Council. TPC-H specification (2010). www. org/tpch An Approach to Benchmarking Industrial Big Data Applications Umeshwar Dayal(B) , Chetan Gupta, Ravigopal Vennelakanti, Marcos R. com Abstract. Through the increasing use of interconnected sensors, instrumentation, and smart machines, and the proliferation of social media and other open data, industrial operations and physical systems are generating ever increasing volumes of data of many different types.

1. Business Scenario: Grow cluster as workload grows to ensure performance. Shrink cluster when possible to save costs. g. HiveQL). g. schema-free vs predefined schema) or programming/query languages of different types of data management and data processing systems. 2 Related Work A number of benchmark proposals aim to compare RDBMSs and NoSQL data stores with specific focus on scalability on modern distributed architectures. The Yahoo Cloud Serving Benchmark (YCSB) [6] is widely regarded as the leading benchmark in this area.

Or a laptop/desktop-class device might serve as the connectivity hub for sensors on a set of machines and robots on a factory floor. A gateway device is connected to the edge devices on one side, and to the data center (or other gateway devices in a multi-stage hierarchy) on the other side and enables efficient communication and data exchange between edge devices and the rest of the system. Note that in a large system, there might be multiple gateway stages, in order to simplify data management and communication in the system.

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