[PDF] Top 20 MapReduce for Data Intensive Scientific Analyses

... MapReduce “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 ... See full document

... using MapReduce for textual data processing using Hadoop, we could not find any schemes for using MapReduce for these types of ...the data for the MapReduce tasks to be in its ... See full document

... two MapReduce implementations scale as the number of processing units ...the data at 100 GB, and measured the execution time by varying the number of nodes in the ...of data using a sequential ... See full document

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

... 2.2 Related Work Profiling and Modelling Tool Physical power measurement, the only means for obtaining the first-hand power data for real systems and components, has been either coarse-grained or intrusive. Node ... See full document

... scale scientific data centers to provide stable web search services with high quality of response time and ...Currently scientific workflows assist scientists and programmers with tracking their ... See full document

... some scientific disciplines, such as astronomy, there are standard data formats [2] that include metadata about an image as part of the image file ...image data and write new images in the same ... See full document

... where scientific workflows will need to be deployed at several sites, ...the data accessed by the workflow is in different research groups’ databases in different sites or because the workflow execution ... See full document

... processing scientific data has enabled the development of digital resources and web-based services that facilitate uses of data beyond those that may have been envisioned by the original data ... See full document

... Keywords: Mapreduce; Hadoop; Scientific Workflow; Parallel Processing; Actor-Oriented Modeling ...Currently scientific workflows assist scientists and programmers with tracking their data ... See full document

... required data samples with a throughput of 1 trillion base pairs per day and this rate will ...and data pipeline is shown in figure 1 with sequencers producing DNA samples that are assembled and subject to ... See full document

... a MapReduce job J to process data of size Φ and be completed within the Completion time D, how many map/reduce slots need to be allocated to this job over time so that it finishes within deadline D when run ... See full document

... – Applications that can only be implemented using DryadLINQ but not with typical MapReduce. • Current release of DryadLINQ has some performance limitations[r] ... See full document

... Condor DAGMan [21] is a well-known parallel runtime that supports applications expressible as DAGs and many workflow runtimes supports DAG based execution flows. However, the granularity of tasks handled at the vertices ... See full document

... Apache Hadoop [3]. However, there are limitations to the current MR implementations: (i) They lack a modular architecture, (ii) are tied to specific infrastructure, e. g. Hadoop relies on the Hadoop File System (HDFS), ... See full document

... Effects of task granularity In these experiments, we coa- lesced components of the PIQ workflow into meta-compone- nts to produce a workflow template with a coarser task gran- ularity. Figure 8 illustrates an alternative ... See full document

... after data partitioning and distribution, a sort-last parallel visualization scheme takes two sequential steps, ...of data blocks; ii) the traditional over operator performs order-dependent composition and ... See full document

... digital data “as the digital recorded factual material commonly accepted in the scientific community as necessary to validate research findings including data sets used to support scholarly ... See full document

... in scientific data analysis ...for data exchange in Web and Grid ...for scientific workflows and can ben- efit from XML database ...based data processing middleware with a distributed ... See full document

... iterative MapReduce, in Proceedings of the First International Workshop on MapReduce and its Applications of ACM HPDC 2010 conference June 20-25, ...to Data Intensive problems University of ... See full document