AbstractBig data refers to processing of enormous amount of unstructured data. The MapReduce and Hadoop are open-source softwares for bigdata applications.The unstructured data are processed using MapReduce framework and Hadoop as an environment, providing distributed file storage for absolute blobs of data. The intermediate data generated are left unstored and hindered in MapReduce framework. Dache refers a cache imbibing the data that is accessed through a request and reply protocol. In this paper, we propose an effective technique for enhancing the performance of Dache by introducing a cache optimization algorithm and a better page replacement technique
Map/reduce is a popular parallel processing framework for massive-scale data-intensive computing. Th...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Hadoop , an open-source implementation of MapReduce dealing with big data is widely used for short j...
Abstract: The buzz-word big-data refers to the large-scale distributed data processing applications ...
Abstract The buzz-word big-data refers to the large-scale distributed data processing applications t...
AbstractIn this paper, we propose methods for the improvement of performance of a MapReduce program ...
With the fast development of networks these days organizations has overflowing with the collection o...
AbstractThe applications running on Hadoop clusters are increasing day by day. This is due to the fa...
The Big-data refers to the huge scale distributed data processing applications that operate on unusu...
Data is growing at every moment which makes it almost impossible to process all of it. More than a d...
Nowadays cloud computing is becoming a trend on big data processing. Google created MapReduce model ...
Incremental data is a difficult problem, as it requires the continues development of well defined al...
MapReduce is a data processing approach, where a single machine acts as a master, assigning map/redu...
The demand for highly parallel data processing platform was growing due to an explosion in the numbe...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Map/reduce is a popular parallel processing framework for massive-scale data-intensive computing. Th...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Hadoop , an open-source implementation of MapReduce dealing with big data is widely used for short j...
Abstract: The buzz-word big-data refers to the large-scale distributed data processing applications ...
Abstract The buzz-word big-data refers to the large-scale distributed data processing applications t...
AbstractIn this paper, we propose methods for the improvement of performance of a MapReduce program ...
With the fast development of networks these days organizations has overflowing with the collection o...
AbstractThe applications running on Hadoop clusters are increasing day by day. This is due to the fa...
The Big-data refers to the huge scale distributed data processing applications that operate on unusu...
Data is growing at every moment which makes it almost impossible to process all of it. More than a d...
Nowadays cloud computing is becoming a trend on big data processing. Google created MapReduce model ...
Incremental data is a difficult problem, as it requires the continues development of well defined al...
MapReduce is a data processing approach, where a single machine acts as a master, assigning map/redu...
The demand for highly parallel data processing platform was growing due to an explosion in the numbe...
MapReduce encompasses a framework in the processing and management of large scale datasets within a ...
Map/reduce is a popular parallel processing framework for massive-scale data-intensive computing. Th...
The term Big data is one of the important terms now days for every sector. As there are no. of organ...
Hadoop , an open-source implementation of MapReduce dealing with big data is widely used for short j...