[PDF] Top 20 Dynamic Cluster Configuration Algorithm in MapReduce Cloud
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Dynamic Cluster Configuration Algorithm in MapReduce Cloud
... globe. MapReduce, proposed by Google in 2004 became popular for doing large scale data ...Implementing MapReduce in cloud requires creation of clusters, where the Map and Reduce operations can be ... See full document
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Algorithm Configuration in the Cloud: A Feasibility Study
... their difference as a measure of variation for this particular pair of configuration and test infrastructure. As Table 1 (numbers in parentheses) shows, configuring on the UBC cluster gave the lowest variation, ... See full document
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An Efficient Approach for Load Balancing Using Dynamic AB Algorithm in Cloud Computing
... AB algorithm is to develop new approach to combine two dynamic two dynamic algorithm is Ant and Bee colony algorithm cloud computing is a collection of parallel and distributed ... See full document
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Cost efficient scheduling of MapReduce applications on public clouds
... public Cloud providers such as Amazon Auto Scaler controllers implement reactive heuristics to scale Hadoop clusters based on CPU usage ...for dynamic scaling based on optimizing SLA constraints) that ... See full document
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STUDY OF DATA MINING ALGORITHM IN CLOUD COMPUTING USING MAPREDUCE FRAMEWORK
... Today’s Cloud computing technology has been emerged to manage large data sets efficiently and due to rapid growth of data, large scale data processing is becoming a major point of information ...large ... See full document
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Analyzing performance of Apache Tez and MapReduce with hadoop multinode cluster on Amazon cloud
... node for Ambari server is chosen as we don’t want that resources of other nodes are wasted in managing the cluster. Figure 2 shows that two master nodes are chosen so that workload is distributed between them and ... See full document
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Energy-efficient task scheduling model based on MapReduce for cloud computing using genetic algorithm
... input files into M pieces of typically 64 megabytes (MB) per piece. It then starts up many copies of the program on a cluster of machines. One of the copies of the program is special—the master. The rest are ... See full document
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An Efficient Dynamic Job Ordering and Slot Configuration for Minimizing the MakespanOf MapReduce Jobs
... Inthose cluster and data center environments, MapReduceand Hadoop are used to support batch processing for jobssubmitted from multiple users (i.e., MapReduce workloads). Despite many research efforts ... See full document
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A brief review of scheduling algorithms of Map Reduce model using Hadoop
... of MapReduce framework in task ...hardware configuration and real-time workload of the nodes in a hadoop cluster and aied at shortening time cost of MapReduce jobs and improving hardware ... See full document
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Implementing Parallel Data Mining Algorithm on High Performance Data Cloud
... Hadoop is an open source implementation of MapReduce Programming model which relies on its own Hadoop Distributed File System. HDFS replicates data blocks in a reliable manner and places them on different nodes; ... See full document
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Dynamic Job Ordering and Slot Configurations for Mapreduce Workloads Using Heuristic Algorithm
... slot configuration issues for MapReduce production workloads that run periodically in a data warehouse, where the average execution time of map/reduce tasks for a MapReduce job can be profiled from ... See full document
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Dynamic MapReduce for Job Workloads through Slot Configuration Technique
... A cloud scheduler plays a main role in distributing resources for different jobs executing in cloud ...in cloud to create an environment for job ...a cluster of physical ...public ... See full document
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Implementation of K Means Clustering Algorithm in Hadoop Framework
... The MapReduce structure gives great flexibility and speed to execute a process over a distributed ...the configuration demands of systems participating in processing such huge volumes of ... See full document
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Dynamic Mapreduce for Job Workloads through Slot Configuration Technique
... A cloud scheduler plays a main role in distributing resources for different jobs executing in cloud ...in cloud to create an environment for job ...a cluster of physical ...public ... See full document
5
Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark
... a MapReduce-based association rule mining algorithm and ran it on Amazon EC2 ...This algorithm uses basic apriori ...three MapReduce-based association rule mining algorithms called as SPC ... See full document
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Use of Mapreduce for Data Mining and Data Optimization on a Web Portal
... a MapReduce tool targeting distributed systems, and multi- core system ...architectures. MapReduce is a distributed programming model originally proposed by Google for the ease of development of web search ... See full document
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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
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A REVIEW: FROM KEYWORD BASED IMAGE RETRIEVAL TO ONTOLOGY BASED IMAGE RETRIEVAL
... MapReduce is one of the earliest and best known models in parallel and distributed (cluster) computing area, created by Google in 2004, based on C++ ...of MapReduce model is its simplicity: a ... See full document
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Managing Configuration Errors in Cloud Computing Using Cluster & Node Management Techniques
... RAM configuration of 16384 MB is set then SA rises to 100% while there is a great improvement in EA at ...prevent configuration errors from occurring in the first ...counter configuration errors, but ... See full document
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Dynamic Cluster Scoring Job Scheduling algorithm for grid computing
... scheduling algorithm is to minimize the completion time and enhance the system ...scheduling algorithm, ...the dynamic grid environment ...scheduling algorithm to decrease jobs make span in a ... See full document
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