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[PDF] Top 20 Performance Improvement Techniques for MapReduce - A Survey

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Performance Improvement Techniques for MapReduce - A Survey

Performance Improvement Techniques for MapReduce - A Survey

... improve performance and reduce the time required to process data, Parallel data management systems apply methods to divide and distribute data on processing units in order to distribute the processing burden on ... See full document

7

Survey of Spam Filtering Techniques and Tools, and MapReduce with SVM

Survey of Spam Filtering Techniques and Tools, and MapReduce with SVM

... various techniques are used. Techniques like Naïve Bayesian Classifier, Support Vector Machine (SVM) ...all techniques SVM is mostly ...introducing MapReduce framework for SVM. ... See full document

8

A Survey On Mapreduce Calculations In Virutalized Environment

A Survey On Mapreduce Calculations In Virutalized Environment

... this survey paper is to highlight some MapReduce implementation worked well to accomplish a specific purpose and compared with previously available ...remarkable performance improvement over ... See full document

6

Title: A Survey on MapReduce Performance and Hadoop Acceleration

Title: A Survey on MapReduce Performance and Hadoop Acceleration

... Abstract— MapReduce is implementation for generating large data sets with a parallel, distributed algorithm on a ...the MapReduce programming data- model used for large-scale parallel applications such as ... See full document

6

A Survey on Spam Filtering Methods and Mapreduce with SVM

A Survey on Spam Filtering Methods and Mapreduce with SVM

... introducing MapReduce framework for SVM. MapReduce framework can work in parallel with input dataset file chunks to train SVM for time ...filtering techniques and scope to introduce MapReduce ... See full document

5

A Survey on Online Aggregation For Large Mapreduce Jobs

A Survey on Online Aggregation For Large Mapreduce Jobs

... time. MapReduce programming approach have close relationship with cloud ...a MapReduce system for large-scale data ...literature survey section we have briefly discussed various online aggregation ... See full document

6

Algorithms using mapreduce A survey

Algorithms using mapreduce A survey

... called MapReduce to carry out this extensive analysis ...extensive survey of MapReduce the popular open-source implementation Hadoop which can be obtained, while highlighting the various algorithms ... See full document

9

Hadoop MapReduce Scheduling Algorithms – A Survey

Hadoop MapReduce Scheduling Algorithms – A Survey

... computing node and very high speed networks will be needed. Also the cost required to transmission of data is also high. The era of big data requires new ways to store, manage, access and process the colossal amount of ... See full document

6

A SURVEY ON MAPREDUCE IN CLOUD COMPUTING

A SURVEY ON MAPREDUCE IN CLOUD COMPUTING

... the MapReduce framework is not the same as in their original ...the MapReduce framework are not the actual map and reduce functions, but the scalability and fault-tolerance achieved for a variety of ... See full document

6

A Survey on Parallel Mining of Frequent Itemsets in MapReduce

A Survey on Parallel Mining of Frequent Itemsets in MapReduce

... ABSTRACT: Data mining faces a lot of challenges in the big data era. Association rule mining algorithm is not sufficient to process large data sets. Apriori algorithm has limitations like the high I/O load and low ... See full document

5

A Survey on i2MapReduce:Incremental MapReduce for Evolving Big Data

A Survey on i2MapReduce:Incremental MapReduce for Evolving Big Data

... D. Logothetis, C. Olston, B. Reed, K. C. Webb, and K. Yocum, has conducted experiment on statefull bulk processing [7] for incremental analytics. There is a growing demand for large-scale processing of unstructured data, ... See full document

5

A Survey on Accelerated Mapreduce for Hadoop

A Survey on Accelerated Mapreduce for Hadoop

... Collaborative filtering recommendations are done in two ways either user-user collaborative filtering or item-item collaborative filtering. In user-user collaborative filtering based recommender systems the top users who ... See full document

6

THE SURVEY ON MAPREDUCE

THE SURVEY ON MAPREDUCE

... In MapReduce programming model, users specify their calculations as two functions, Map and ...limitations, MapReduce can offer a simple interface for users to parallelize and distribute computations ...with ... See full document

8

A Survey on Parallel Multicore Computing: Performance & Improvement

A Survey on Parallel Multicore Computing: Performance & Improvement

... increase performance by increasing throughput. Pipelining is one of the techniques used to execute instructions in stages where number of instructions in the pipeline equal to number of ... See full document

9

A Survey on Evaluation and Improvement Techniques for Recommendation Systems

A Survey on Evaluation and Improvement Techniques for Recommendation Systems

... In [11], this paper presents a metric to measure similarity between users, which is applicable in collaborative filtering processes carried out in RS. The proposed metric is formulated via a simple linear combination of ... See full document

6

Research and Comparison of SQL Optimization Techniques based on MapReduce

Research and Comparison of SQL Optimization Techniques based on MapReduce

... Apache Hive [3] is a data warehouse system. It can analyze large datasets using HiveQL. HiveQL execution consists of two parts: compiler and optimizer. Compiler contains parser, semantic analyser, logical plan generator ... See full document

7

DIABETES DATA ANALYSIS USING MAPREDUCE AND CLASSIFICATION TECHNIQUES

DIABETES DATA ANALYSIS USING MAPREDUCE AND CLASSIFICATION TECHNIQUES

... Now a day, a large amount of information is collected in the form of patient records by the hospitals. Knowledge discovery for predictive purposes is done through data mining, which is an analysis technique that helps in ... See full document

7

Scalable Programming and Algorithms for Data Intensive Life Science Applications

Scalable Programming and Algorithms for Data Intensive Life Science Applications

... Twister – namely, the equivalent of MPI-Reduce, MPI-Broadcast (multicast), and MPI-Barrier – have large messages and offer the possibility of reasonable cloud performance. This hypothesis is supported by our ... See full document

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A REVIEW OF DATA CUBE MATERIALIZATION USING MAPREDUCE TECHNIQUES

A REVIEW OF DATA CUBE MATERIALIZATION USING MAPREDUCE TECHNIQUES

... MapReduce is used in Hadoop1.0 but due to some resource management issues like inflexible slot configuration, scalability. After Hadoop version 0.2, MapReduce changed significantly. Now it known as ... See full document

9

HUMAN VALUE ECOSYSTEM: PRODUCTIVITY MANAGEMENT IN A HUMAN WAY

HUMAN VALUE ECOSYSTEM: PRODUCTIVITY MANAGEMENT IN A HUMAN WAY

... Productivity is a very central and pertinent issue in any business globally. Thus, an analysis was conducted to study the developmental issues, measurement and the strategies of productivity. Various methods of analysis ... See full document

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