Workload-aware cache for social media data

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The success of social network services has brought up many interesting Web 2.0 applications, while posed great challenges for human-real-time data management for huge volume of data with unstructured nature. Timeline query is a specific type of queries that are widely used in social network services and analysis. A workload-aware cache scheme for efficient evaluation of home timeline queries in human-real-time manner is proposed in this paper. It utilizes the communities within followship network and considers the high skew of access frequency across users to generate cache units. Thus, timeline queries are transformed to a process of merging cache units. Empirical studies show the superiority of overlapping cache strategy over other three existing strategies.

Original languageEnglish
Title of host publicationWeb Technologies and Applications - 15th Asia-Pacific Web Conference, APWeb 2013, Proceedings
Pages662-673
Number of pages12
DOIs
StatePublished - 2013
Event15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013 - Sydney, NSW, Australia
Duration: 4 Apr 20136 Apr 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7808 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013
Country/TerritoryAustralia
CitySydney, NSW
Period4/04/136/04/13

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