Reducing The Energy Consumption Energy-Efficient Query Processing Node in Web Search Engines

Authors(2) :-K. Hari Krishna, Kosuru Anusha Rani

Web search engines are made by thousands out of question handling hubs, i.e., servers devoted to process client inquiries. Such numerous servers expend a lot of energy, for the most part responsible to their CPUs, however they are important to guarantee low latencies, since clients expect sub-second reaction times (e.g., 500 ms). In any case, clients can scarcely see reaction times that are quicker than their desires. Henceforth, we propose the Predictive Energy Saving Online Scheduling Algorithm (PESOS) to choose the most proper CPU recurrence to process an inquiry on a for every center premise. PESOS goes for process questions by their due dates, and use abnormal state scheduling data to decrease the CPU energy utilization of a question handling hub. PESOS constructs its choice in light of inquiry effectiveness indicators, evaluating the preparing volume and handling time of a question. We tentatively assess PESOS upon the TREC ClueWeb09B gathering and the MSN2006 inquiry log. Results demonstrate that PESOS can decrease the CPU energy utilization of a question preparing hub up to 48% contrasted with a framework running at most extreme CPU center recurrence. PESOS beats moreover the best in class contender with a 20% energy saving, while the contender requires a fine parameter tuning and it might brings about in wild inertness infringement.

Authors and Affiliations

K. Hari Krishna
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India
Kosuru Anusha Rani
MCA Department, Vignan's Lara Institute of Technology and Science, Vadlamudi, Guntur, Andhra Pradesh, India

Energy consumption, CPU Dynamic Voltage and Frequency Scaling, Web search engines.

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Publication Details

Published in : Volume 4 | Issue 2 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 50-56
Manuscript Number : CSEIT1833612
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

K. Hari Krishna, Kosuru Anusha Rani , "Reducing The Energy Consumption Energy-Efficient Query Processing Node in Web Search Engines", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 2, pp.50-56, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833612

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