PHD RESEARCH TOPIC IN MAPREDUCE 

PHD RESEARCH TOPIC IN MAPREDUCE has been amplified because of its significance in recent years. Map reduce is one of the key field of cloud computing. It is used to reduce a complex problem, so that it can be easily PHD RESEARCH TOPIC IN MAPREDUCE has been amplified because of its significance in recent years. Map reduce is one of the key field of cloudcomputed. It is a programming model which process large dataset in parallel fashion also using distributed algorithm within a cluster.

While computing, map operation is also applied to each logical record of our input in order to compute a set of intermediate key/value pairs and also a reduce operation to all the values that shares the same key, in order to combine the derived data appropriately. It also works in parallel fashion to accomplish complex problem in less time. Abstractions are also stimulate by the map and also reduce primitives present in Lisp and many other functional languages.

Hadoop Projects

Most common PHD RESEARCH TOPIC IN MAPREDUCE field is also Data-intensive text processing with Map reduce algorithm: open source Hadoop implementation is perform in this model, focus on scalability and the trade-off associated with distributed processing of large data sets. Map reducing is mainly also used in the cloud environment along also with Hadoop technology. Most Scholars are opting this field due to its recent application in all domains. It is also an interesting domain but little complex, hence require experts guidance which can also assure by us.

RESEARCH ISSUES IN MAP-REDCUE:

DNA Sequence Alignment
Statistical Machine Translation
Issues on decomposition and also load balancing
Job optimization
Issues also based on large data
Parallel and Distributed processing issue,
Issues on data storage, analytics, online processing, privacy and also security.
Speculative Execution
Data Locality issue
Job Scheduling also for minimizing Response Time
Problem on unstructured data and stream
Algorithm focused mapreduce restrictions
Research field also on network communication
Cost issues

RESEARCH TOPIC-IN-MAPREDUCE

SOFTWARE AND TOOL DETAILS 
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1)Hadoop Development Tools(HDT)
2)Eclipse
3)Netbeans

PURPOSE OF THE EVERY SOFTWARE AND TOOL
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HDT–>set of plugins also for the Eclipse IDE to develop hadoop platform.

Eclipse–>Primarily also used to develop java application

Netbeans–> software development IDE written also in Java.

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