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Introduction

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

Abstract

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.

Keywords

Cloud Computing Cloud Provider Public Cloud Cloud Platform Cloud Computing Platform 
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.

References

  1. 46.
    The DZero Experiment. http://www-d0.fnal.gov/.
  2. 56.
    Daniel Abadi. Data management in the cloud: Limitations and opportunities. Data Eng. Bull., 32(1):3–12, March 2009.Google Scholar
  3. 58.
    Azza Abouzeid, Kamil Bajda-Pawlikowski, Daniel Abadi, Avi Silberschatz, and Alexander Rasin. HadoopDB: an architectural hybrid of MapReduce and DBMS technologies for analytical workloads. Proc. VLDB Endow., 2(1):922–933, August 2009.Google Scholar
  4. 62.
    Divyakant Agrawal, Amr El Abbadi, Fatih Emekci, and Ahmed Metwally. Database management as a service: Challenges and opportunities. In Proceedings of the 25th IEEE International Conference on Data Engineering, ICDE ’09, pages 1709–1716, Shanghai, China, March 2009. IEEE Computer Society.Google Scholar
  5. 68.
    Michael Armbrust, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee, David Patterson, Ariel Rabkin, Ion Stoica, and Matei Zaharia. A view of cloud computing. Commun. ACM, 53(4):50–58, April 2010.CrossRefGoogle Scholar
  6. 76.
    G. Bell, J. Gray, and A. Szalay. Petascale computational systems. IEEE Computer, 39(1):110–112, 2006.CrossRefGoogle Scholar
  7. 110.
    Brian F. Cooper, Eric Baldeschwieler, Rodrigo Fonseca, James J. Kistler, P. P. S. Narayan, Chuck Neerdaels, Toby Negrin, Raghu Ramakrishnan, Adam Silberstein, Utkarsh Srivastava, and Raymie Stata. Building a cloud for yahoo! IEEE Data Eng. Bull., 32(1):36–43, 2009.Google Scholar
  8. 151.
    Tony Hey, Stewart Tansley, and Kristin M. Tolle, editors. The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond, Washington, USA, 2009.Google Scholar
  9. 191.
    Douglas F. Parkhill. The challenge of the computer utility. Addison-Wesley, 1966.Google Scholar
  10. 235.
    Lamia Youseff, Maria Butrico, and Dilma Da Silva. Towards a unified ontology of cloud computing. In GCE, 2008.Google Scholar

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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