NDLI: Cache Design of SSD-Based Search Engine Architectures: An Experimental Study

Content Provider	ACM Digital Library
Author	Yiu, Man Lung Lo, Eric Wang, Gang Wang, Jianguo Liu, Xiaoguang Tong, Jiancong
Copyright Year	2014
Abstract	Caching is an important optimization in search engine architectures. Existing caching techniques for search engine optimization are mostly biased towards the reduction of random accesses to disks, because random accesses are known to be much more expensive than sequential accesses in traditional magnetic hard disk drive (HDD). Recently, solid-state drive (SSD) has emerged as a new kind of secondary storage medium, and some search engines like Baidu have already used SSD to completely replace HDD in their infrastructure. One notable property of SSD is that its random access latency is comparable to its sequential access latency. Therefore, the use of SSDs to replace HDDs in a search engine infrastructure may void the cache management of existing search engines. In this article, we carry out a series of empirical experiments to study the impact of SSD on search engine cache management. Based on the results, we give insights to practitioners and researchers on how to adapt the infrastructure and caching policies for SSD-based search engines.
Starting Page	1
Ending Page	26
Page Count	26
File Format	PDF
ISSN	10468188
e-ISSN	15582868
DOI	10.1145/2661629
Volume Number	32
Issue Number	4
Journal	ACM Transactions on Information Systems (TOIS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-28
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Search engine Cache Query processing Solid-state drive
Content Type	Text
Resource Type	Article
Subject	Computer Science Applications Information Systems Business, Management and Accounting

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

The impact of solid state drive on search engine cache management

ACache Design of SSD-based Search Engine Architectures: An Experimental Study

Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log

Query clustering using user logs

Engineering basic algorithms of an in-memory text search engine

Diversifying Query Auto-Completion

Bounded coordinate system indexing for real-time video clip search

Search improvement via automatic query reformulation

Discovering tasks from search engine query logs

Cache Design of SSD-Based Search Engine Architectures: An Experimental Study

Similar Documents

The impact of solid state drive on search engine cache management

ACache Design of SSD-based Search Engine Architectures: An Experimental Study

Cross-Lingual Topic Discovery From Multilingual Search Engine Query Log

Query clustering using user logs

Engineering basic algorithms of an in-memory text search engine

Diversifying Query Auto-Completion

Bounded coordinate system indexing for real-time video clip search

Search improvement via automatic query reformulation

Discovering tasks from search engine query logs

Cache Design of SSD-Based Search Engine Architectures: An Experimental Study