[PDF] Top 20 A Survey on Online Aggregation For Large Mapreduce Jobs
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A Survey on Online Aggregation For Large Mapreduce Jobs
... OLACloud, which is implemented by using two functional components: content-aware repartition and fair allocation. This is motivated by the observation that the performance of online aggregation is actually ... See full document
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Hadoop MapReduce Scheduling Algorithms – A Survey
... schedule jobs based on their priorities in first-come first-out of first serve ...short jobs compared to large jobs, Low performance when run multiple types of jobs and it give good ... See full document
6
Implementation of Aggregation of Map and Reduce Function for Performance Improvisation Varsha B. Bobade
... review MapReduce programming model, the MapReduce Online framework and the Online Aggregation technique is given Hadoop is an Apache open source framework written in Java that allows ... See full document
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A SURVEY ON MAPREDUCE IN CLOUD COMPUTING
... The MapReduce was a programming model that was proposed by Google who off ers a simple and effi cient way to perform distributed computation over large data ...Elastic MapReduce, a web service that ... See full document
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On Traffic-Aware Partition and Aggregation in Mapreduce for Big Data Applications
... The MapReduce programming model simplifies large-scale data processing on commodity cluster by exploiting parallel map tasks and reduce ...of MapReduce jobs, they ignore the network traffic ... See full document
5
Network Traffic Separation and Aggregation in Mapreduce for Bigdata Applications
... Reduce jobs, they ignore the network traffic generated in the shuffle phase, which plays a critical role in performance ...a MapReduce job by designing a novel intermediate data partition ...the ... See full document
6
Survey on Hadoop and Introduction to YARN
... of large quantities of data to gain new insight has become a ubiquitous phrase in recent ...processing large data volume jobs uses MapReduce programming ...the jobs in ...the ... See full document
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A Survey On Mapreduce Calculations In Virutalized Environment
... The MapReduce is an open source Hadoop framework implemented for processing and producing distributed large Terabyte data on large ...of large sets of MapReduce ...completed ... See full document
6
Development of Online Jobs Publication System
... an online jobs publication system that caters both employers and job seekers to post jobs related information and qualification respectively through the ...vacancies online in their respective ... See full document
9
Algorithms using mapreduce A survey
... so large to make it fit in its main ...very large number of disk accesses as we move pieces of the vector into main memory to multiply components by elements of the ... See full document
9
MapReduce: Ordering and Large Scale Indexing on Large Clusters
... One of the common causes that lengthens the total time taken for a MapReduce operation is a straggler.: a machine that takes an unusually long time to complete one of the last few map or reduce tasks in the ... See full document
5
A cybernetics Social Cloud
... To optimize the performance, MapReduce framework is used. Each query has a job ID and each job ID is equally distributed to each node of the hybrid cloud, being processed and results returned to the central node. ... See full document
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An Efficient Platform for Large-Scale MapReduce Processing
... world. Large Beowulf machines might have more than one server node, and possibly other nodes dedicated to particular tasks, for example consoles or monitoring ... See full document
70
Performance Improvement Techniques for MapReduce - A Survey
... for large-scale data analytic considered a challenging ...Google’s MapReduce[8], [9], Yahoos PNUTS [10], Microsoft SCOPE [11], Twitters Storm [12], LinkedIn’s Kafka[13], and WalmartLabs ... See full document
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A SCALABLE TWO PART TOP-DOWN SPECIALIZATION METHOD FOR EXPERTISE ANONYMIZATION USING MAP SCALE DOWN ON CLOUD
... using MapReduce are applied on cloud to data anonymization and deliberately designed a group of innovativeMapReduce jobs to concretely accomplish the specialization computation in a highly scalable ... See full document
6
An Efficient Dynamic Job Ordering and Slot Configuration for Minimizing the MakespanOf MapReduce Jobs
... and MapReduce slot configurations for a MapReduce workload have the enormously extraordinary efficiency related to the makespan, complete completion time, process utilization and otherperformance ... See full document
5
Data science partition and aggregation of data using MapReduce
... S. Venkataraman et al [11] it is cumbersome to write machine learning and graph algorithms in data- parallel models such as MapReduce and Dryad. Authors observe that these algorithms are based on matrix ... See full document
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Research and Comparison of SQL Optimization Techniques based on MapReduce
... There are three steps in MapReduce-based SQL execution. Step 1 is parsing SQL. We use ANTLR (ANother Tool for Language Recognition) to parse the query string and generate a syntax tree. We support a subset of ... See full document
7
A Survey of Clustering Algorithm for Very Large Datasets
... very large data set and it is useful to discover the correlation among attributes both of spherical and non spherical shape which is also robust to ...This survey focuses on clustering algorithms that are ... See full document
8
A Survey on Online Social Network Anomaly Detection
... The structural properties have been used by most of the researchers working in social network domain to define a number of new approaches for identifying anomalies in online social networks. As an example, Link ... See full document
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