data-intensive
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 ...
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Map Reduce for Data Intensive Scientific Analyses
... HEP data analysis, in data intensive applications, the overall performance depends greatly on the I/O bandwidth and hence a MapReduce implementation on multi-core system may not yield significant ...
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Data-intensive Service Mashup based on Game theory and Hybrid Fireworks Optimization Algorithm in the Cloud
... The contributions which distinguish our work from the above researches can be summarized as follows: 1. the problem of SLA-aware data-intensive service mashup with service correlation is formulated; 2. the ...
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Experiences with workflows for automating data-intensive bioinformatics
... a data-intensive discipline, requiring bioinformaticians to use high-performance computing resources and carry out data management and analysis tasks on large ...
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Map Reduce for Data Intensive Scientific Analyses
... HEP data analysis, in data intensive applications, the overall performance depends greatly on the I/O bandwidth and hence a MapReduce implementation on multi-core system may not yield significant ...
8
Data Management in Data Intensive Computing Systems - A Survey
... in data intensive computing, it is important to minimize the movement of ...data. Data intensive computing uses distributed data and distributed file systems (DFS) in which the ...
6
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
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
On Replication Strategies for Data Intensive Cloud Applications
... the data objects in the system, and 3) Distributed and replicated File System Layer (DFS) - actually stores the bits on disk and is in charge of distributing and replicating the data across many servers to ...
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Biomedical Case Studies in Data Intensive Computing
... We used an ongoing childhood obesity study as our first application to test the relevance of our tools in the area of linking environment and social/health data. [6-7] Obesity is presently one of the most ...
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Classifying Simulation and Data Intensive Applications and the HPC-Big Data Convergence
... v. Archive/Batched/Streaming: Streaming is incremental update of datasets with new algorithms to achieve real-time response (G7); Before data gets to compute system, there is often an initial data gathering ...
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Science Clouds and Their Use in Data Intensive Applications
... High Throughput Computing; pleasingly parallel; grid applications Multiple users long tail of science and usages parameter searches Internet of Things Sensor nets as in cloud support of [r] ...
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Advances in Clouds and their application to Data Intensive problems
... (a) Map Only (c) Iterative Synchronous Synchronous (d) Loosely (d) Loosely MapReduce (c) Iterative MapReduce (b) Classic MapReduce (b) Classic MapReduce Input Input map[r] ...
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Sensors and other 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 ...
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Multicore and Cloud Technologies for Data Intensive Applications
... We show how clusters of Multicore systems give high parallel performance while Cloud technologies Hadoop from Yahoo and Dryad from Microsoft allow the integration of the large data repos[r] ...
51
Using SGML as a Basis for Data Intensive NLP
... There are tools which interpret SGML elements in the corpus text as offsets into files of audio-data, allowing very flexible retrieval and output of audio information using queries defin[r] ...
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Towards Efficient and Scalable Data Intensive Content Delivery: State of the Art, Issues and Challenges
... Challenges in Ubiquitous Computing can be categorized to (Want and Per- ing [170]): (i) power management issues: refers to how mobile devices deal with processing power and storage space and the kind of wireless ...
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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 ...
34
Data Intensive Clouds Tools and Applications
... Data We’re Looking at • Biology DNA sequence alignments Medical School & CGB several million Sequences / at least 300 to 400 base pair each • Particle physics LHC Caltech 1 Terabyte data[r] ...
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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 ...
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