Specific Performance Model for MapReduce TDT applications
Model Driven Performance Simulation of Cloud Provisioned Hadoop MapReduce Applications
... the performance characteristics of a Hadoop job can help achieve an optimal balance between resource usage (cost) and job latency on a cloud-based ...the performance of a MapReduce application in a ...
7
PERFORMANCE MODELING AND RESOURCE MANAGEMENT FOR MAPREDUCE APPLICATIONS
... On the other hand, the advent of cloud computing provides a new delivery model with virtually unlimited resources. It allows the customers to deploy their Hadoop clusters by leasing computing and storage resources ...
170
The Performance Characteristics of MapReduce Applications on Scalable Clusters
... of MapReduce applications on a ...a model in which we isolated five specific factors that affect MapReduce application perfor- ...application performance would scale linearly ...
7
Performance Modeling and Resource Management for Mapreduce Applications
... On the other hand, the advent of cloud computing provides a new delivery model with virtually unlimited resources. It allows the customers to deploy their Hadoop clusters by leasing computing and storage resources ...
173
Fluid Petri Nets for the Performance Evaluation of MapReduce Applications
... 2 Related Work The literature provides a large number of perfor- mance studies for Hadoop 1.x, since the framework has been widely adopted in the ICT industry, of- ten supporting core business activities. Two main ...
12
Performance Evaluation of MapReduce applications on Cloud Computing Environment, FutureGrid
... research applications and middleware, which employs virtualization technology to allow the testbed to support a wide range of operating ...maximizing performance in computer science related to the use and ...
10
Performance Analysis of Twister based MapReduce Applications on Virtualization System in FutureGrid
... research applications and middleware, which employs virtualization technology to allow the testbed to support a wide range of operating ...maximizing performance in computer science related to the use and ...
5
Clouds and MapReduce for Scientific Applications
... computing applications including "parameter ...analysis applications including information retrieval fit the MapReduce ...for MapReduce including sequence assembly and the use of BLAST and ...
5
On Modeling CPU Utilization of MapReduce Applications
... a MapReduce application—before running on the actual cluster/cloud—can greatly help both application performance and effective resource ...to model/profile the CPU usage of MapReduce ...
14
Virtual Memory Streaming and Sorting in MapReduce Applications
... ever. MapReduce is one of the most important frameworks for data ...programming model designed to quickly process large data sets ...from performance bottlenecking in its sorting ...
16
An Enhanced DACHE Model for the MapReduce Environment
... the performance of the MapReduce framework, making the searching process more easy and efficient than the existing technique and eliminating the duplicate task that co-exists with the incremental ...
6
A Model-driven Approach for Price/Performance Tradeos in Cloud-based MapReduce Application Deployment
... growing. MapReduce [1] is a widely-used framework for Big Data, which has a parallel programming model and executes on large ...a MapReduce application depends on a variety of factors, such as the ...
5
Optimizing data storage for MapReduce applications in the Azure Clouds
... execute MapReduce jobs, called Dryad [23]. Dryad is superior to MapReduce from the point of view of the workflows that can be ...High Performance clusters and cannot be run in ...the MapReduce ...
41
Network Traffic Separation and Aggregation in Mapreduce for Bigdata Applications
... programming model and an associated implementation for processing and generating big data sets with a parallel, distributed algorithm on a ...the performance of Map Reduce jobs, they ignore the network ...
6
MapReduce and Data Intensive Applications
... DATA PIPELINES CONTENT DIMENSIONAL DATA Software APPLIED SCIENCE Data Analytics Content Optimization Content Enrichment Big Data Processing8. User Interest Prediction Machine learning - [r] ...
24
MapReduce and Data Intensive Applications
... pleasingly model, have recently been adopted due to its easy-to-use and easy-to-scale ...this model is not yet universally ...sequential model to parallel model is the main ...
10
Applications of MapReduce to the Life Science
... It was the best of times, it was the worst of times, it was the age of wisdom, it was the age of foolishness, ….. … With Duplicates[r] ...
32
MAPREDUCE Programming Model
... In MapReduce, synchronization is needed when mappers and reduces exchange intermediate output and state information Intermediate key-value pairs must be grouped by key, which requires the execution a distributed ...
19
A Model of Computation for MapReduce
... We have presented a rigorous computational model for the MapReduce paradigm. By restricting both the total memory per machine and the total number of machines to O(n 1− ) we ensure that the programmer must ...
11
Delivering Bioinformatics MapReduce Applications in the Cloud
... the MapReduce data parallel programming model and the corresponding Apache Hadoop ...this model and existence of already available algorithms and applications, especially for batch processing ...
5