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Cloud-assisted Computing for Event-driven Mobile Services

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Abstract

Today, software developers for desktop computing build request and respond applications to do what end users tell them to do and answer what they ask. In mobile computing, software developers will need to develop sense and response applications that will interact with the end user. These applications will notify or ask users what they want based on what they have sensed or on a personal profile. Mobile cloud computing has the potential to empower mobile users with capabilities not found in mobile devices, combining different and heterogeneous data sets. In this work, we discuss the importance and challenges in designing event-driven mobile services that will detect conditions of interest to users and notify them accordingly.

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References

  1. Andrews J et al (2008) Rethinking information theory for mobile ad hoc networks. IEEE Comm Mag 46(12):94–101

    Article  Google Scholar 

  2. Bahl P, Han RY, Li LE, Satyanarayanan M (2012) Advancing the state of mobile cloud computing. In: Proceeding of the third ACM workshop on mobile cloud computing and services, pp 21–28

  3. Beach A et al (2008) WhozThat? Evolving an ecosystem for context-aware mobile social networks. IEEE Netw 22(4):50–55

    Article  Google Scholar 

  4. Beach A, Gartrell M, Han R (2010) q-Anon: rethinking anonymity for social networks. In: Proceeding of the 2010 IEEE second international conference on social computing, pp 185–192

  5. Beach A et al (2010) Fusing mobile, sensor, and social data to fully enable context-aware computing. In: Proceeding of the eleventh workshop on mobile computing systems & applications, pp 60–65

  6. Etzion O, Niblett P (2010) Event processing in action. Manning Publications Co, USA, p 384

    Google Scholar 

  7. Gilbert P et al (2010) Toward trustworthy mobile sensing. In: Proceeding of the eleventh workshop on mobile computing systems & applications, pp 31–36

  8. Kumar K et al (2013) A survey of computation offloading for mobile systems. J Mob Netw Appl 18(1):129–140

    Article  Google Scholar 

  9. Lane ND et al (2010) A survey of mobile phone sensing. IEEE Comm Mag 48(9):140–150

    Article  Google Scholar 

  10. Lane ND et al (2011) Exploiting social networks for large-scale human behavior modeling. IEEE Pervasive Comput 10(4):45–53

    Article  Google Scholar 

  11. Liu F et al (2013) Gearing resource-poor mobile devices with powerful clouds: architectures, challenges, and applications. IEEE Wireless Comm Mag 20(3):14–22

    Article  Google Scholar 

  12. Liu J et al (2012) Energy efficient GPS sensing with cloud offloading. In: Proceeding of the 10th ACM conference on embedded network sensor systems, pp 85–98

  13. Mell P, Grance T (2011) The NIST definition of cloud computing. NIST Special Publication 800-145. National Institute of Standards and Technology. http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf

  14. Miluzzo E et al (2008) Sensing meets mobile social networks: the design, implementation and evaluation of the cenceme application. In: Proceeding of the 6th ACM conference on embedded network sensor systems, pp 337–350

  15. Mühl G, Ludger F, Pietzuch P (2006) Distributed event-based systems. Springer, Berlin, p 406

    MATH  Google Scholar 

  16. Saroiu S, Wolman A (2010) I am a sensor, and I approve this message. In: Proceeding of the eleventh workshop on mobile computing systems & applications, pp 37–42

  17. Wang X et al (2013) Cloud-assisted adaptive video streaming and social-aware video prefetching for mobile users. IEEE Wirel Comm Mag 20(3):72–79

    Article  Google Scholar 

  18. Wang X et al (2013) AMES-Cloud: a framework of adaptive mobile video streaming and efficient social video sharing in the clouds. IEEE Trans Mult 15(4):811–820

    Article  Google Scholar 

  19. Wroblewski L (2012) Mobile first. A book apart. New York, p 144

  20. Xu Y, Mao S (2013) A survey of mobile cloud computing for rich media applications. IEEE Wirel Comm Mag 20(3):46–53

    Article  Google Scholar 

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Authors and Affiliations

  1. Paradise Research Laboratory – EECS, University of Ottawa, Ottawa, Canada

    Azzedine Boukerche

  2. Department of Computer Science, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil

    Antonio A. F. Loureiro

  3. Department of Computer Science, Federal University of Amazonas, Maceió, Alagoas, Brazil

    Eduardo F. Nakamura & Horacio A. B. F. Oliveira

  4. Institute of Computing, Federal University of Alagoas, Alagoas, Brazil

    Heitor S. Ramos

  5. Institute of Computing, University of Campinas, Campinas, São Paulo, Brazil

    Leandro A. Villas

Authors
  1. Azzedine Boukerche
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  2. Antonio A. F. Loureiro
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  3. Eduardo F. Nakamura
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  4. Horacio A. B. F. Oliveira
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  5. Heitor S. Ramos
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  6. Leandro A. Villas
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Correspondence to Azzedine Boukerche.

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Boukerche, A., Loureiro, A.A.F., Nakamura, E.F. et al. Cloud-assisted Computing for Event-driven Mobile Services. Mobile Netw Appl 19, 161–170 (2014). https://doi.org/10.1007/s11036-013-0488-1

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  • DOI: https://doi.org/10.1007/s11036-013-0488-1

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