Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/430563
Title: | Improving the mapreduce performance by optimizing the structure of mapreduce computation in hadoop |
Researcher: | Kavitha,C |
Guide(s): | Anita,X |
Keywords: | Hadoop Mapreduce Task failure resilience |
University: | Anna University |
Completed Date: | 2022 |
Abstract: | MapReduce is a framework used for processing huge datasets with newlineparallel and distributed computing environments. Hadoop, an open-source newlinewidely used implementation of MapReduce can be set up on massive newlinecomputing clusters. Hadoop automatically parallelizes a job into multiple newlinetasks and handles the execution of tasks on large commodity clusters. Each newlineMapReduce job in Hadoop has two major dependent phases, namely, Map newlineand Reduce. A single task failure can cause the failure of the complete job newlineand unpredictable job running times. Task and node failures cause a newlinesubstantial impact on Hadoop s performance. MapReduce handles the task newlinefailures by restarting the failed task and recomputing all the input data from newlinescratch, regardless of how much data was processed earlier. This increases the newlineturn-around time of MapReduce jobs newline |
Pagination: | xvi,139p. |
URI: | http://hdl.handle.net/10603/430563 |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 208.13 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 2.58 MB | Adobe PDF | View/Open | |
03_content.pdf | 139.78 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 110.68 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 979.83 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 212.91 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.01 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 410.07 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 840.76 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 181.47 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 211.61 kB | Adobe PDF | View/Open |
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