Study of big data frame work with various issues and challenges involving in data transfer
Author(s):
Sasidhar K, Dr Rajesh Kulkarni
Keywords:
Big Data, Map Reduce, Hadoop.
Abstract
The Hadoop work scheduler can be arranged concerning the accompanying viewpoints: climate, need, asset mindfulness, (for example, CPU time, free opening, circle space, I/O use), time, and systems. The primary thought behind planning is to limit upward, assets, and consummation time, and to amplify throughput by designating position to the processor. Here, the order of schedulers is done in light of the planning techniques, time, and assets.
Article Details
Unique Paper ID: 154577
Publication Volume & Issue: Volume 8, Issue 11
Page(s): 633 - 641
Article Preview & Download
Share This Article
Conference Alert
NCSST-2023
AICTE Sponsored National Conference on Smart Systems and Technologies
Last Date: 25th November 2023
SWEC- Management
LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT