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Mobile Computing and Mobile Cloud Computing are the areas where intensive research is observed. The “mobility” landscape (devices, technologies, apps, etc.) evolves so fast that definitions and taxonomies do not catch up with so dynamic changes and there is still an ambiguity in definitions and common understanding of basic ideas and models. This research focuses on Mobile Cloud understood as parallel and distributed system consisting of a collection of interconnected (and virtualized) mobile devices dynamically provisioned and presented as one unified computing resource. This paper focuses on the mobile green computing cloud applied for parallel and distributed computations and consisting of outdated, abandoned or no longer needed smartphones being able to set up a powerful computing cluster. Besides showing the general idea and background, an actual computing cluster is constructed and its scalability and efficiency is checked versus the results obtained from the virtualized set of smartphones. All the experiments are performed using a dedicated software framework constructed in order to leverage the nolonger-needed smartphones, creating a computing cloud.
Rocznik
Tom
Strony
60--70
Opis fizyczny
Bibliogr. 36 poz., rys.
Twórcy
autor
- Department of Computer Science, AGH University of Science and Technology, 30 Mickiewicza Av., 30-059 Krakow, Poland
autor
- Department of Computer Science, AGH University of Science and Technology, 30 Mickiewicza Av., 30-059 Krakow, Poland
autor
- Department of Computer Science, AGH University of Science and Technology, 30 Mickiewicza Av., 30-059 Krakow, Poland
autor
- Department of Computer Science, AGH University of Science and Technology, 30 Mickiewicza Av., 30-059 Krakow, Poland
autor
- Department of Computer Science, AGH University of Science and Technology, 30 Mickiewicza Av., 30-059 Krakow, Poland
autor
- Department of Computer Science, AGH University of Science and Technology, 30 Mickiewicza Av., 30-059 Krakow, Poland
Bibliografia
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- [12] A. Byrski, R. Dębski, and M. Kisiel-Dorohinicki, “Towards an agentbased augmented cloud”, J. of Telecom. and Inform. Technol., no. 1, pp. 16–22, 2012.
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- [19] X. Chen, L. Jiao, W. Li, and X. Fu, “Efficient multi-user computation offloading for mobile-edge cloud computing”, IEEE/ACM Trans. on Netw., vol. 24, no. 5, pp. 2795–2808, 2016 (doi: 10.1109/TNET.2015.2487344).
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- [21] K. Gai, M. Qiu, H. Zhao, L. Tao, and Z. Zong, “Dynamic energyaware cloudlet-based mobile cloud computing model for green computing”, J. of Netw. and Comp. Appl., vol. 59, no. C, pp. 46–54, 2016 (doi: 10.1016/j.jnca.2015.05.016).
- [22] A. Botta, W. Donato, V. Persico, and A. Pescapé, “Integration of cloud computing and internet of things: A survey”, Future Gener. Comp. Syst., vol. 56, pp. 684–700, 2016 (doi: 10.1016/j.future.2015.09.021).
- [23] M. Shiraz, A. Gani, R. Khokhar, and R. Buyya, “A review on distributed application processing frameworks in smart mobile devices for mobile cloud computing”, IEEE Commun. Surv. Tutor., vol. 15, no. 3, pp. 1294–1313, 2013 (doi: 10.1109/SURV.2012.111412.00045).
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- [27] C. Zhu, H. Wang, X. Liu, L. Shu, L. Yang, and V. Leung, “A novel sensory data processing framework to integrate sensor networks with mobile cloud”, IEEE Syst. J., vol. 10, no. 3, pp. 1125–1136, 2016.
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Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dac995bf-2e63-4a35-8d2e-5637c4588d0a