An Efficient Way to Reduce Data Service Delay Using Map Reduce Framework
S. Thirumagal1, A. Safiya Parvin2
1S.Thirumagal, Computer Science and Engineering, Sathyabama University, Chennai, India.
2A.Safiya Parvin, Computer Science and Engineering, Sathyabama University, Chennai, India.
Manuscript received on January 29, 2014. | Revised Manuscript received on February 12, 2014. | Manuscript published on February 28, 2014. | PP: 367-369 | Volume-3, Issue-3, February 2014. | Retrieval Number: C2749023314/2013©BEIESP
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The demand of real time data services has increased in various data intensive real time applications such as e-commerce, traffic control, manufacturing etc. Supporting timely data services using such applications is a challenging issue, since the workload may dynamically change based on the current market status. Real time data services are services which has to provide better quality of service to the end users . Most e-commerce clients may tend to leave if the service delay is longer than a few seconds. To overcome this problem, we use the map reduce framework to reduce the real time data service delays. With the existing chronos architecture map reduce framework is used to minimize the delays. The Map Reduce framework processes large amount of data in a parallel way.
Keywords: Map Reduce, Quality of Service, Real time data service.