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Free Download Dynamic Job Ordering And Slot Configurations For MapReduce Workloads Project in Java Spring Framework with source code

Java Spring Framework project   Publish on -  2018-07-11
kalai selvi
php, java, big data, Html,Css,Javascript, Jquery 
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129 Downloads

Dynamic Job Ordering And Slot Configurations For MapReduce Workloads project is a desktop application which is developed in Java Spring Framework platform. This Java Spring Framework project with tutorial and guide for developing a code. Dynamic Job Ordering And Slot Configurations For MapReduce Workloads is a open source you can Download zip and edit as per you need. If you want more latest Java Spring Framework projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into Eclipse. This Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering final year students can submit in college. This script developed by kalai selvi. This desktop application 100% working smooth without any bug. It is developed using java,hadoop and Database hdfs. This software code helpful in academic projects for final year students. We have a great collection of Java Spring Framework projects.

Document and Reports information

This doucment file contains project Synopsis, Reports, and various diagrams. Also abstract pdf file inside zip so that document link below the page. Class Diagrams, Use Case Diagrams, Entity–relationship(ER) Diagrams, Data flow diagram(DFD), Sequence diagram and software requirements specification (SRS) in report file. Complete ready made open source code free of cost download. You can find Top Downloaded Java Spring Framework projects here.

About Project

project Name Dynamic Job Ordering And Slot Configurations For MapReduce Workloads
project ID 2435
Developer Name kalai selvi
Publish Date 2018-07-11
project Platform Java Spring Framework
Programming Language java,hadoop
Front End 
Back End 
IDE Tool Eclipse
project Earning kalai selvi Earn Rs.0 from this project.
Database hdfs
project Type desktop Application
No of project Download 129
project Total View 3030
Today Trends 28
Current Month Trends 57
Last Month Trends 58

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Features of the Project

MapReduce is a popular parallel computing paradigm for large-scale data processing in clusters and data centers. A MapReduce workload generally contains a set of jobs, each of which consists of multiple map tasks followed by multiple reduce tasks. Due to 1) that map tasks can only run in map slots and reduce tasks can only run in reduce slots, and 2) the general execution constraints that map tasks are executed before reduce tasks, different job execution orders and map/reduce slot configurations for a MapReduce workload have significantly different performance and system utilization. This paper proposes two classes of algorithms to minimize the makespan and the total completion time for an offline MapReduce workload. Our first class of algorithms focuses on the job ordering optimization for a MapReduce workload under a given map/reduce slot configuration. In contrast, our second class of algorithms considers the scenario that we can perform optimization for map/reduce slot configuration for a MapReduce workload. We perform simulations as well as experiments on Amazon EC2 and show that our proposed algorithms produce results that are up to 15% „ 80% better than currently unoptimized Hadoop, leading to significant reductions in running time in practice.

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How To Import And Run The Project?

  • drag and drop method or using pen drive access

How To Import Database?

  • using linux command

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