• Karnati Susravanthi

At present, web search is a common act in the everyday life of a lot of people. To achieve it on a large scale, Web companies’ required energy-usage data center, which raise ecological & economical challenges. Web search engines are collected by number of query processing nodes, i.e., servers enthusiastic to practice user queries. Such lots of servers use a significant quantity of energy, mostly responsible to their CPUs, but they are essential to guarantee small latencies, as users are expecting sub-second response times. Parallel, such lots of servers use a significant quantity of energy, hindering the profitability of the search engines and raising environmental concerns. Since energy consumption has an significant role on the profitability & ecological impact of Web search engines, improving their energy efficiency is an important aspect. However, users can scarcely observe response times that are earlier than their expectations. Therefore, to mitigate energy consumption, Web search engines should answer queries no faster than user expectations. Hence, we introducing the Predictive Energy Saving Online Scheduling Algorithm (PESOS) to choose an suitable CPU frequency to execute a query on a per-core source and with help of proposed algorithm we can mitigate the energy consumption of servers’ CPUs

Predictive Energy Saving Online Scheduling Algorithm (PESOS), CPUs, Dynamic Voltage and Frequency Scaling (DVFS).

"Online Predictive Energy Scheduling Algorithm for Efficient Query Processing in Web Search Engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.574-580, July-2018, Available :http://www.jetir.org/papers/JETIR1807230.pdf

"Online Predictive Energy Scheduling Algorithm for Efficient Query Processing in Web Search Engines", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp574-580, July-2018, Available at : http://www.jetir.org/papers/JETIR1807230.pdf