A new advanced query response time and reduce CPU cost in web search

Nalla Satya Anusha, V Swamy Naidu, G Tatayyanaidu


I proposed the Predictive Energy Saving Online Scheduling (PESOS) calculation. With regards to web crawlers, PESOS intends to decrease the CPU energy utilization of an inquiry preparing hub while forcing required tail dormancy on the question reaction times. For each inquiry, PESOS chooses the most minimal conceivable CPU center recurrence with the end goal that the energy utilization is diminished and the due dates are regarded. PESOS choose the correct CPU center recurrence misusing two various types of query efficiency predictors (QEPs). The first QEP gauges the preparing volume of inquiries. The second QEP gauges the inquiry preparing times under various center frequencies, given the quantity of postings to score. Since QEPs can be off base, amid their preparation we recorded the root mean square error (RMSE) of the expectations.


L. A. Barroso, J. Clidaras, and U. H¨olzle, The Datacenter as aComputer: An Introduction to the Design of Warehouse-ScaleMachines, 2nd ed. Morgan & Claypool Publishers, 2013.

I. Arapakis, X. Bai, and B. B. Cambazoglu, “Impact of responselatency on user behavior in web search,” in Proc. SIGIR, 2014,pp. 103–112.

U.S. Department of Energy, “Quick start guide to increasedata center energy efficiency,” 2009. [Online]. Available:http://goo.gl/ovDP26

The Climate Group for the Global e-Sustainability Initiative,“Smart 2020: Enabling the low carbon economy in theinformation age,” 2008. [Online]. Available: http://goo.gl/w5gMXa

European Commission – Joint Research Centre, “The EuropeanCode of Conduct for Energy Efficiency in Data Centre.” [Online].Available: http://goo.gl/wmqYLQ

U.S. Department of Energy, “Best Practices Guide forEnergy-Efficient Data Center Design.” [Online].Available:http://goo.gl/pikFFv

D. C. Snowdon, S. Ruocco, and G. Heiser, “Power Managementand Dynamic Voltage Scaling: Myths and Facts,” in Proc. OfWorkshop on Power Aware Real-time Computing, 2005.

The Linux Kernel Archives, “Intel P-State driver.” [Online].Available: https://goo.gl/w9JyBa

D. Brodowski, “CPU frequency and voltage scaling code in theLinux kernel.” [Online]. Available: https://goo.gl/QSkft2

C. Macdonald, N. Tonellotto, and I. Ounis, “Learning to predictresponse times for online query scheduling,” in Proc. SIGIR,2012, pp. 621–630.

M. Jeon, S. Kim, S.-w. Hwang, Y. He, S. Elnikety, A. L. Cox,and S. Rixner, “Predictive parallelization: Taming tail latenciesin web search,” in Proc. SIGIR, 2014, pp. 253–262.

Full Text: PDF [Full Text]


  • There are currently no refbacks.

Copyright © 2013, All rights reserved.| ijseat.com

Creative Commons License
International Journal of Science Engineering and Advance Technology is licensed under a Creative Commons Attribution 3.0 Unported License.Based on a work at IJSEat , Permissions beyond the scope of this license may be available at http://creativecommons.org/licenses/by/3.0/deed.en_GB.