• Liang Zhao
  • Sherif Sakr
  • Anna Liu
  • Athman Bouguettaya


We live in the era of big data. Information from multiple sources is growing at a staggering rate. The number of Internet users reached 2.27 billion in 2012. Google estimates that the total number of web pages exceeds one trillion. Every day, Facebook generates more than 25 TB of log data, Twitter generates more than 12 TB of tweets, and the New York Stock Exchange captures 1 TB of trade information. Each minute, 15 h of video are uploaded to YouTube. About 30 billion radio-frequency identification (RFID) tags are created every day. Add to this mix the data generated by the hundreds of millions of GPS devices sold every year, and the more than 30 million networked sensors currently in use (and growing at a rate faster than 30 percent per year). Modern high-energy physics experiments, such as DZero [46], typically generate more than one TeraByte of data per day. These data volumes are expected to double every two years over the next decade.


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These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Liang Zhao
    • 1
  • Sherif Sakr
    • 2
    • 3
  • Anna Liu
    • 4
  • Athman Bouguettaya
    • 5
  1. 1.NICTAKensingtonAustralia
  2. 2.Software Systems Research Group NICTAEveleighAustralia
  3. 3.Faculty of Computers and InformationCairo UniversityGizaEgypt
  4. 4.NICTAEveleighAustralia
  5. 5.School of Computer Science and Information TechnologyRMIT UniversityMelbourneAustralia

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