[PDF] Top 20 Accelerating Data Transfers In Iterative MapReduce Framework
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Accelerating Data Transfers In Iterative MapReduce Framework
... big data problems. Recently several iterative MapReduce frameworks including our Twister system have emerged to improve the performance on many important data mining ...invariant data, ... See full document
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Dynamically Iterative MapReduce
... a MapReduce framework that can dynamically determine the location of output data to reduce most of execution time of iterative programs, is called Dynamically Iterative MapReduce ... See full document
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Distributed Formal Concept Analysis Algorithms Based on an Iterative MapReduce Framework
... the data have to be scanned when performing ...a data structure to store previously found concepts, which results in considerable time ...a data structure of exponential size ...dense data are ... See full document
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Processing Weather Sensor Data Using Iterative MapReduce Approach
... of data to be processed over very large ...handle data in the cloud environment due to its excellent scalability and good fault ...complex data analysis tasks that require the joining of multiple ... See full document
6
Enabling big data analytics in the hybrid cloud using iterative MapReduce
... address data-intensive workloads - including Big Data Analyt- ics - in similar environments is ...of accelerating iterative MapReduce ...with data locality and data ... See full document
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Enabling Big Data Analytics in the Hybrid Cloud using Iterative MapReduce
... address data-intensive workloads - including Big Data Analyt- ics - in similar environments is ...of accelerating iterative MapReduce ...with data locality and data ... See full document
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Collective Communication Patterns for Iterative MapReduce
... vanilla MapReduce-MergeBroadcast and optimized ...vanilla MapReduce where it uses an optimized tree- based algorithm to perform TCP broadcasts of in-memory ...vanilla MapReduce implementation and ... See full document
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MAPReduce based Cache Management for Big Data Framework
... Rong Gu, Furao Shen et al. [4] proposed a modified parallel computing framework, known as cNeural which can use large scale training samples for fast training. It uses HBase for large scale training dataset ... See full document
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Cloud Service Discovery and MapReduce Framework for Healthcare Data Classification
... Other approaches aim at improving the throughput by exploiting the network and the end-system parallelism or a hybrid approach between them. Building on the network parallelism, the transfer performance can be enhanced ... See full document
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Accelerating Bayesian Network Parameter Learning Using Hadoop and MapReduce
... huge data set size and the requirement for computation and memory ...computing framework MapReduce to Bayesian parameter learning from complete and incomplete ...(complete data) and the ... See full document
8
The Cost Effective Iterative MapReduce in Big Data Environment K Chandra Sekhar & P Karthik
... [6]proposed framework called as Hadoop - Efficient iterative data handling on extensive groups, the developing interest for largescale data mining and data investigation applications ... See full document
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STUDY OF DATA MINING ALGORITHM IN CLOUD COMPUTING USING MAPREDUCE FRAMEWORK
... In data mining, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest ...an iterative ... See full document
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Scalable Parallel Computing on Clouds Using Twister4Azure Iterative MapReduce
... intermediate data products are uploaded to the persistent Blob store in the background as ...the data is uploaded to the Blob ...intermediate data from the Blob store if a Reduce task does not ... See full document
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FlexiWeb: Network-Aware Compaction for Accelerating Mobile Web Transfers
... the data collected for both types of browsing to understand the impact of network conditions on load times for objects of different ...of data compaction for small ... See full document
13
An extensible and scalable Pilot-MapReduce framework for data intensive applications on distributed cyberinfrastructure
... of data that must be analyzed in scientific applications is increasing ...this data is distributed, thus efficient processing of large distributed datasets is required, whilst ideally not intro- ducing ... See full document
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An iterative mapreduce based frequent subgraph mining algorithm with load balancing
... “big data” phenomenon has engulfed a significant number of research and application domains including data mining, computational biology, environmental sciences, e -commerce, web mining, and social network ... See full document
7
MapReduce, GPGPU and Iterative Data mining algorithms
... sample data • By using iterative majorization to –d ix , the problem is solved by equation: • By applying MDS-interpolation, the author has visualized up to 2 million data points by using 32 nodes / ... See full document
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SpatialHadoop: A MapReduce Framework for Spatial Data
... full-fledged MapReduce framework with native support for spatial data; available as open-source ...spatial data inside the core functionality of ...skewed data distributions in spatial ... See full document
12
Classical and Iterative MapReduce on Azure
... Azure Queues for scheduling, Tables to store meta-data and monitoring data, Blobs for input/output/intermediate data storage... MapReduceRoles4Azure.[r] ... See full document
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Twister: A Runtime for Iterative MapReduce
... Parallel Data Mining from Multicore to Cloudy Grids, High Performance Computing and Grids workshop, ...Fox, MapReduce for Data Intensive Scientific Analyses, Fourth IEEE International Conference on ... See full document
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