توضیحات
ABSTRACT
Hadoop is a flexible and open source implementation for analyzing large datasets using Map Reduce. The file
system is developed in java that encourages portability around multiple heterogeneous software and hardware
platforms. This paper analyzes the bottlenecks in the architecture of Hadoop that causes the time delay in the tasks
and lead to the prolonged execution time of the jobs. Secondly, the limitations in the portability and other issues and challenges of Hadoop are discussed and for them what can be the solutions We see Hadoop features, extensions and tools as well as significant opportunities for optimization,We discussed remarkable miscellany in the styles, including various respective workloads that helps in the motivation of the new tools in the ecosystem. We have also found some standard techniques that helps in improving the potential and interpretation effectively but also suggested some of their substitutes. Altogether, some outstanding ways of opportunity for the simplification of the usage and the optimization of the Hadoop technology are discussed that also helps in making future recommendations for further research work in this area
INTRODUCTION
In the daily lives, the data is generated at such unprecedented rates that the data intensive computations are
performed in every second and hence so truly called “ The digital universe” (EMC Corporation) [1]). The mindset of researchers are changed due to the phenomenal raised usage of the internet to store and analyze voluminous data. Nowadays , companies need to acquire some reliable solutions that can process multi PetaByte set of data efficiently and hence various groups of engineers in the companies like Nokia and some other telecommunications had already began experimenting with Hadoop
Year : 2015
Publisher : IJSTM
By : Meetali
File Information : English Language / 10 Page / Size : 302 K
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سال : 2015
ناشر : IJSTM
کاری از : Meetali
اطلاعات فایل : زبان انگلیسی / 10 صفحه /حجم : 302 K
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