Index Shard Replication Strategies for Improving Resource Utilization in Large Scale Search Engines-Reference-Cited by-同舟云学术

Index Shard Replication Strategies for Improving Resource Utilization in Large Scale Search Engines

Published:2018-08-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 47th International Conference on Parallel Processing
language:
Short-container-title:

Author:

Li Yusen¹,Tang Xueyan²,Cai Wentong²,Tong Jiancong³,Liu Xiaoguang¹,Wang Gang¹,Gao Chuansong³,Cao Xuan³,Geng Guanhui³,Li Minghui³

Affiliation:

1. Nankai University, Tianjin, China

2. Nanyang Technological University, Singapore

3. Baidu Inc., Beijing, China

Funder

Natural Science Foundation of Tianjin City

Ministry of Education - Singapore

National Research Foundation Singapore

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3225058.3225102

Reference31 articles.

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3. On the feasibility of multi-site web search engines

4. Roi Blanco and Edward et. al. Bortnikov. 2010. Caching search engine results over incremental indices. In ACM SIGIR. 82--89. 10.1145/1835449.1835466 Roi Blanco and Edward et. al. Bortnikov. 2010. Caching search engine results over incremental indices. In ACM SIGIR. 82--89. 10.1145/1835449.1835466

5. B Barla Cambazoglu and Ricardo Baeza-Yates. 2016. Scalability and efficiency challenges in large-scale web search engines. In ACM SIGIR. ACM 1223--1226. 10.1145/2911451.2914808 B Barla Cambazoglu and Ricardo Baeza-Yates. 2016. Scalability and efficiency challenges in large-scale web search engines. In ACM SIGIR. ACM 1223--1226. 10.1145/2911451.2914808