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data-intensive application

Self-service infrastructure container for data intensive application

Self-service infrastructure container for data intensive application

... scientific data management - storage, transfer, analysis, and inference extraction - is attracting ...for data intensive ...a data analysis and a reduction in the cost of ...

21

Exploring the support for high performance applications in the container runtime environment

Exploring the support for high performance applications in the container runtime environment

... a data intensive application ...evaluated. Data traceability is the criteria which is used for evaluation, it is the ability to keep track of data and access- ing on a ...access ...

15

Cost-Effective Privacy Preserving Of Intermediate Datasets In Cloudusing Reverse Circle Cipher

Cost-Effective Privacy Preserving Of Intermediate Datasets In Cloudusing Reverse Circle Cipher

... of data, at time of processing any data intensive application huge amount of intermediate datasets are generated and they are often stored for future purpose instead of generating ...because ...

5

Performance Evaluation of MapReduce applications on Cloud Computing Environment, FutureGrid

Performance Evaluation of MapReduce applications on Cloud Computing Environment, FutureGrid

... This observation induces that load balancing is helpful in spreading the load equally across the free nodes when a node is loaded above its threshold level. Though load balancing is not so significant in execution of a ...

10

Data classification algorithm for data intensive computing environments

Data classification algorithm for data intensive computing environments

... big data, mining useful infor- mation has become a subject of interest. Data-intensive environments have been considered only in the context of big data mining ...on data mining ...

10

Data Intensive Computing for Bioinformatics

Data Intensive Computing for Bioinformatics

... Even though the annealing algorithm is looking at genes with a decreasing distance scale, the current clustering algorithm is of O(N 2 ) complexity, and its behavior (as distance scale is lowered) tracks the "worst ...

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Verifying big data topologies by-design: a semi-automated approach

Verifying big data topologies by-design: a semi-automated approach

... In addition to formal verification, specific algorithms for graph analysis can be inte- grated in OSTIA to offer a deeper insight of the applications. For instance, the industrial case study has been analyzed with two ...

23

MapReduce and Data Intensive Applications

MapReduce and Data Intensive Applications

... terabyte data is generated from scientific experiments, commercial online data collecting, and physical digital device ...collected data are generally analyzed according to different computational ...

10

Data Management in Data Intensive Computing Systems - A Survey

Data Management in Data Intensive Computing Systems - A Survey

... large-scale data processing framework which increases its flexibility and adaptability to many problem domains and uses simple machine dependent programming models to process large chunks of data in a ...

6

FutureGrid and Data Intensive Applications on Clouds

FutureGrid and Data Intensive Applications on Clouds

... DPFS Data Parallel File System: Support of file systems like Google (MapReduce), HDFS (Hadoop) or Cosmos (dryad) with compute-data affinity optimized for data processing Table: Support of Table ...

79

MapReduce for Data Intensive Scientific Analyses

MapReduce for Data Intensive Scientific Analyses

... “MapReduce is a programming model and an associated implementation for processing and generating large data sets. Users specify a map function that processes a key/value pair to generate a set of intermediate ...

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Training in data definitions improves quality of intensive care data

Training in data definitions improves quality of intensive care data

... to data definitions decreased the most after training. Incomplete data mostly concerned respiratory rate and mean blood ...Inaccurate data from outside the first 24 hours of intensive care ...

7

Analysis of 3D Cone-Beam CT Image Reconstruction Performance on a FPGA

Analysis of 3D Cone-Beam CT Image Reconstruction Performance on a FPGA

... minimize data transfer between the CPU and GPU, which is inevitable due to the storage capacity on the GPU, Wang et ...and application instructions concurrently, and large sequential reading ...of ...

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Interactive Quantum Development  Environment (IQDE)

Interactive Quantum Development Environment (IQDE)

... Our operation of single-qubit operator flows close to the border of the memory, regardless of which qubit the operator is applied to. While the value of the control qubit increases, the operation is improving, and ...

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Data Intensive Applications on Clouds

Data Intensive Applications on Clouds

... DPFS Data Parallel File System: Support of file systems like Google (MapReduce), HDFS (Hadoop) or Cosmos (dryad) with compute-data affinity optimized for data processing Table: Support of Table ...

52

An Energy Efficient QoS Based Replication Strategy

An Energy Efficient QoS Based Replication Strategy

... build data intensive parallel applications with much more affordable ...prices. Data Corruption occurrence on these data intensive applications does not meet the QoS ...Every ...

7

Data Intensive Cyberinfrastructure

Data Intensive Cyberinfrastructure

... “Big Data” July 26-30 with set of certified images – first offering of FutureGrid 101 Class; TeraGrid ‘10 “Cloud technologies, data- intensive science and the TG”; CloudCom conference tutorials Nov ...

87

Therapeutic Decisions Making System Using Data Mining Techniques: A Review

Therapeutic Decisions Making System Using Data Mining Techniques: A Review

... use data mining and knowledge discovery techniques to identify common therapeutic decisions made by physicians for a given clinical ...a data mining method to develop clinical practice guidelines, and ...

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