Traffic-optimized data placement for social media

Traffic-optimized data placement for social media

Social media users are generating data on an unprecedented scale. Distributed storage systems are often used to cope with explosive data growth. Data partitioning and replication are two interrelated data placement issues affecting the interserver traffic caused by user-initiated read and write oper...

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Bibliographic Details
Main Authors: Tang, Jing, Tang, Xueyan, Yuan, Junsong
Other Authors: School of Computer Science and Engineering
Format: Article
Language:English
Published: 2020
Subjects:
Engineering::Computer science and engineering
Social Media
Distributed Storage
Online Access:https://hdl.handle.net/10356/140032
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Institution: Nanyang Technological University
Language: English

Internet

https://hdl.handle.net/10356/140032

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