NDLI: Query Scheduling Techniques and Power-Latency Trade-off Model for Large-Scale Search Engines

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Query Scheduling Techniques and Power-Latency Trade-off Model for Large-Scale Search Engines

Content Provider	ACM Digital Library
Author	Freire, Ana
Abstract	Web search engines have to deal with a huge increase of information, demanded by high incoming query traffic. This situation has driven companies to build large, geographically distributed data centres housing thousands of servers and consuming enormous amounts of electricity. At this scale, even minor efficiency improvements may result in large financial and power savings. This thesis represents a novel contribution to the state-of-the-art of Query Scheduling and Green Information Retrieval (Green IR), by assisting large-scale data centres to build more efficient and environmentally-friendly search engines. The main contributions of this work are the following: Query Scheduling. We introduce query efficiency predictors as suitable estimators to improve Query Scheduling. We estimate the processing time of the queries waiting in each query server and we calculate an approximate time that a new query must spend in each queue. Based on this estimation, the fastest query server is selected. Green IR. Once we have developed new methods to improve the average response time of a search engine, we focus on reducing the power consumption of the whole system. This thesis proposes a mathematical model that establishes a trade-off between latency and power consumption. This model attempts to automatically adapt the number of active servers in the system based on the fluctuations of a daily query traffic flow. Queueing Theory. We prove the limitation of Queueing Theory models for estimating the latency in search engines. As a consequence, we develop our trade-off model by predicting the latency using historical data. Results show the good performance of this approach. IR evaluation. We attest that Simulation platforms are suitable for IR experimentation. We support this conclusion by establishing an exhaustive analysis of the current IR evaluation platforms..
Starting Page	66
Ending Page	66
Page Count	1
File Format	PDF
ISSN	01635840
DOI	10.1145/2795403.2795418
Journal	ACM SIGIR Forum (SIGF)
Volume Number	49
Issue Number	1
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	1978-08-01
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Content Type	Text
Resource Type	Article
Subject	Management Information Systems Hardware and Architecture

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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