[PDF] Top 20 Using HPC-ABDS for Streaming Data

Using HPC-ABDS for Streaming Data

... Message Protocols: 12 In-memory databases & caches / Object-relational mapping / Extraction Distributed Coordination: Tools Security & Privacy: 13 Inter process communication Monitoring:[r] ... See full document

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HPC ABDS High Performance Computing Enhanced Apache Big Data Stack (with a bias to Streaming)

... to streaming data as well the HPC communication technologies (MPI) which are much faster than most default Apache approaches but can be added to some systems like Hadoop whose modern version is ... See full document

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Towards HPC ABDS: An Initial High Performance BigData Stack

... on HPC platforms such as XSEDE will thus be an important ...on HPC environments is limited (as it was designed as a system-level framework), (ii) resource containers cannot eas- ily be re-used across ... See full document

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Implementing parts of HPC-ABDS in a multi-disciplinary collaboration

... and Data Protocols: Avro, Thrift, Protobuf 2) Distributed Coordination : Google Chubby, Zookeeper, Giraffe, JGroups 3) Security & Privacy: InCommon, Eduroam OpenStack Keystone, LDAP, Sentry, Sqrrl, OpenID, ... See full document

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Big Data HPC Convergence

... into data plus model components and classifying each component (whether from Big Data or Big Simulations) in the same ...patterns); Data Source and Style; and finally the Processing (runtime) ... See full document

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Towards HPC ABDS: An Initial Experience Optimizing Hadoop for Scalable High Performance Data Analytics,

... • Data analysis plays an important role in data-driven scientific discovery and commercial ...that HPC ideas should integrate well with Apache (and other) open source big data technologies ... See full document

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HPC ABDS High Performance Computing Enhanced Apache Big Data Stack

... hot data. HDFS realizes the goal of bring computing to data and has a distributed data store on the same nodes that perform computing; it underlies the Apache Hadoop ...major HPC shared ... See full document

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Big Data, Simulations and HPC Convergence

... big data with an accompanying cloud in- frastructure of dramatic and increasing size and ...into data plus model components and classifying each component (whether from Big Data or Big Compute) in ... See full document

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A High Performance Model-Centric Approach to Machine Learning Across Emerging Architectures

... • Rich software stacks: – HPC High Performance Computing for Parallel Computing – Apache for Big Data Software Stack ABDS including some edge computing streaming data • On general princi[r] ... See full document

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Data Science Rearch and Education at Digital Science Center@SOIC

... Digital Science Center Facilities RaPyDLI Deep Learning Environment HPC-ABDS and Cloud DIKW Big Data Environments Java Grande Runtime CloudIOT Internet of Things Environment SPIDAL Scala[r] ... See full document

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Towards HPC and Big Data Convergence in a Component Based Approach

... Contributions • Performance analysis of Big Data Tools • Time series data visualization • Parallel streaming algorithms • HPC integration to big data • Twister2 Big data toolkit.. • Unif[r] ... See full document

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Twister2: Design and initial implementation of a Big Data Toolkit

... We suggest an event driven computing model built around Cloud and HPC and spanning batch, streaming, and edge applications – Highly parallel on cloud; possibly sequential at the edge Int[r] ... See full document

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HPC-enhanced IoT and Data-based Grid

... • Rich software stacks: • HPC High Performance Computing for Parallel Computing • Apache for Big Data Software Stack ABDS including some edge computing streaming data • On general princi[r] ... See full document

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Next Generation Grid: Integrating Parallel and Distributed Computing Runtimes for an HPC Enhanced Cloud and Fog Spanning IoT Big Data and Big Simulations

... • We suggest an event driven computing model built around Cloud and HPC and spanning batch, streaming, batch and edge applications • Expand current technology of FaaS Function as a Servi[r] ... See full document

31

HPC Cloud and Big Data Testbed

... • On general principles parallel and distributed computing have different requirements even if sometimes similar functionalities • Apache stack ABDS typically uses distributed computing [r] ... See full document

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General Discussion of HPC-ABDS: February 2017

... • Layer 11C only lists a few of the traditional relational databases but includes the NewSQL area, which is also seen in systems at layer 15A. NewSQL combines a rigorous SQL interface with the scalability of MapReduce ... See full document

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Building HPC Big Data Systems

... analytic, quasi-emperical or quasi-phenomological potential that combines multiple, perhaps opposing, effects into a single potential. Effective potential are typically defined using physical intuition. For ... See full document

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Streaming Data Analysis using Apache Cassandra and Zeppelin

... of data across many commodity servers, providing high availability with no single point of ...the data from twitter, the data is stored in json ... See full document

8

Big Data and Simulations: HPC and Clouds

... Level 17: Orchestration: Apache Beam Google Cloud Dataflow integrated with Heron/Flink and Cloudmesh on HPC cluster Level 16: Applications: Datamining for molecular dynamics, Image proce[r] ... See full document

34

Big Data in Research and Education

... Broad Overview: Data Deluge to Clouds Clouds Grids and HPC Cloud applications Analytics and Parallel Computing on Clouds and HPC Data Analytics Architectures Data Science and Data Analyt[r] ... See full document

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