Large Scale Data Processing
BestPeer++: A Peer to Peer based Large scale Data Processing Platform Chatta Anilkumar & Ch Balaji
... inter-company data sharing and processing poses unique challenges to such a data management system including scalability, performance, throughput, and ...elastic data sharing services for ...
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Best Peer++: A Peer to Peer Based Large Scale Data Processing Platform N Vijayalaxmi & Mr B Ramesh
... sharing data where they need to con- tribute or they share common ...develop data sharing service in shared ...delivers data sharing services to participants based on the widely accepted ...
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Usage of Large Scale Data Processing for analyzing social sciences data
... procedural style but too much of a procedural style makes the code expansive. PIG Latin offers a mid-way between SQL and MapReduce by using SQL like statements for a procedural purpose. PIG runs over the Hadoop ...
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A Peer-To-Peer based Large-Scale Data processing Using MapReduce
... The adapter includes one abstract adapter which defines the elastic transportation service interface and a collection of actual adapter components which implement such an interface through APIs offered by means of ...
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A Novel Approach for Processing Large-Scale Data by Using Peer-To-Peer Techniques
... sharing data where they need to contribute or they share common ...develop data sharing service in shared ...is Large Scale data processing ...their data into cloud and ...
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Collection and linguistic processing of a large-scale corpus of medical articles
... In the next step, medical terms are identified. We cur- rently have two different term identifiers: one is based on a robust lookup in the medical database UMLS (Lindberg et al., 1993; Humphreys et al., 1998), the other ...
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LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM
... Current processing of images goes through ordinary sequential ways to accomplish this ...image, processing each image alone before writing the newly processed image on a storage ...batch processing ...
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Large Scale Data Munging using SparkR
... the data in the world has been generated over the last two ...with data that can be aggregated and analyzed. Big Data and Distributed Computing is the next essential thing that the companies have to ...
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Accelerating large scale protein structure alignments with graphics processing units
... Large-scale protein structure comparison is becoming a more and more important approach to providing a bet- ter picture for understanding biological systems [1,2]. Given a database of protein structures, ...
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Distributed Data Analysis For Large-Scale Social Networks
... [3] T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko,R. Silverman, and A. Y. Wu, “An efficient k-means clustering algorithm: Analysis and implementation,” IEEE Transactions on Pattern Analysis and Machine ...
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Dynamic multidimensional index for large-scale cloud data
... to organize large-scale cloud data. This method has high scalability and fault tolerance. However, it consumes considerable memory space to cache index information in the client, and it is unsuitable ...
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GATECloud.net: a Platform for Large-Scale, Open-Source Text Processing on the Cloud
... Efficient data management: from an implementation perspective, job execution requires access to potentially large amounts of data, including the text-processing application file(s), the ...
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Hadoop TS: Large Scale Time Series Processing
... specific data types or data containers are implemented in the Apache Mahout ...if data, represented in a binary form based on such types, have to be stored or exported to other ...the data ...
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LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM
... service data base is most important part in that database image are stored in the world large data of images so that handling is very difficult just like ,the duplication of image it’s increases the ...
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Towards High Performance Processing of Streaming Data in Large Data Centers
... Dynamic Data Driven Applications ...Stream Processing Frameworks (DSPF) such as Apache ...of large scale DDDAs due to inefficient inter-process ...
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Design and Analysis of Large Data Processing Techniques
... Sensor Data Analytics - When the data from the different sources is collected then it can be multi-media files like video, photo and audio, from which important conclusions for the business can be ...the ...
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Replication-based Fault-tolerance for Large-scale Graph Processing
... Though many graph-parallel systems provide checkpoint-based fault tolerance support, it is disabled by default due to notable overhead during normal computation and lengthy recovery time. To estimate checkpoint and ...
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Large Scale Image Processing Using Distributed and Parallel Architecture
... input data points into multiple classes based on their Euclidean distance from each ...the data features form a vector space and tries to find natural clustering within it ...
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Thermomechanical processing of 34CrNiMo6 steel for Large Scale Forging
... required data such as load, displacement, velocity and temperature from the tested specimen are recorded through the computer system to be used later for analysis and to draw stress-strain ...
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Cloud Computing and Large Scale Computing in the Life Sciences: Opportunities for Large Scale Sequence Processing
... • Characteristics of applications suitable for clouds • Iterative MapReduce and related programming models: Simplifying the implementation of many data parallel applications • FutureGrid[r] ...
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