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Evidence-Aware Mobile Cloud Architectures

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Mobile Big Data

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 10))

Abstract

The potential of mobile offloading has contributed towards the flurry of recent research activity known as mobile cloud computing. By instrumenting the mobile applications with offloading mechanisms, a mobile device can save its energy and increase its performance. However, existing offloading mechanisms lack from efficient decision models for augmenting the mobile device with cloud resources on the fly. This problem is caused by the large amount of system’s parameters and their scattered values that need to be considered and characterized merely by the device depending on its contextual needs. Thus, the offloading process still suffers from deficiencies that do not allow a device to maximize the advantages of going cloud-aware. In this chapter, we explore the challenges and opportunities of a new kind of mobile architecture, namely evidence-aware mobile cloud architecture, which relies on crowdsensing to diagnose the optimal configuration for migrating mobile functionality to cloud. The key insight is that by using the massive parallel infrastructure of the cloud to process big data, it is possible to collect offloading evidence from large amount of devices that is later analyzed in conjunction to infer an efficient configuration to execute a smartphone app for a particular device.

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References

  1. Flores, H.: Service-Oriented and Evidence-aware Mobile Cloud Computing. University of Tartu, Ph.D. thesis (2015)

    Google Scholar 

  2. Olteanu, A., Ţăpuş, N.: Offloading for Mobile Devices: A Survey, UPB Scientific Bulletin (2014)

    Google Scholar 

  3. Fernando, N., Loke, S.W., Rahayu, W.: Mobile cloud computing: a survey. Fut. Gen. computer systems, 29, 1, 84 (2013)

    Google Scholar 

  4. Flores, H., Srirama, S.N.: Mobile cloud middleware. J. Syst. Soft. 92, 82–94 (2014)

    Article  Google Scholar 

  5. Flores, H., Srirama, S.N., Paniagua, C.: A generic middleware framework for handling process intensive hybrid cloud services from mobiles. In: Proceedings of the ACM International Conference on Advances in Mobile Computing and Multimedia (MoMM 2011), (Ho chi minh, Vietnam), Dec 5–7 (2011)

    Google Scholar 

  6. Mazzucco, M., Dumas, M.: Achieving performance and availability guarantees with spot instances. In: Proceedings of the IEEE International Conference on High Performance Computing and Communications (HPCC 2011), (Banff, Canada), September 2–4 (2011)

    Google Scholar 

  7. Han, B., Hui, P., Kumar, V.A., Marathe, M.V., Shao, J., Srinivasan, A.: Mobile data offloading through opportunistic communications and social participation, IEEE Trans. Mobile Comput. 11, 5, 821 (2012)

    Google Scholar 

  8. Kaya, M., et al.: An adaptive mobile cloud computing framework using a call graph based model. J. Netw. Comput. Appl. 65, 12–35 (2016)

    Article  Google Scholar 

  9. Gu, X., Nahrstedt, K., Messer, A., Greenberg, I., Milojicic, D.: Adaptive offloading for pervasive computing. IEEE Perv. Comput. Mag. 3(3), 66–74 (2004)

    Article  Google Scholar 

  10. Kumar, K., Lu, Y.-H.: Cloud computing for mobile users: can offloading computation save energy? Comput. Mag. 43(4), 51–56 (2010)

    Article  Google Scholar 

  11. Cuervo, E., Balasubramanian, A., Cho, D.-k., Wolman, A.S., Saroiu, Chandra, R., Bahl, P. : Maui: making smartphones last longer with code offload. In: Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2010), (San Francisco, CA, USA), June 15–18 (2010)

    Google Scholar 

  12. Chun, B.-G., Ihm, S., Maniatis, P., Naik, M., Patti, A.: Clonecloud: elastic execution between mobile device and cloud. In: Proceedings of the ACM European Conference on Computer Systems (EuroSys 2011), (Salzburg, Austria), April 10–13 (2011)

    Google Scholar 

  13. Kosta, S., Aucinas, A., Hui, P., Mortier, R., Zhang, X.: Thinkair: dynamic resource allocation and parallel execution in the cloud for mobile code offloading. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM 2012), (Orlando, Florida, USA.), March 25–30 (2012)

    Google Scholar 

  14. Flores, H., Srirama, S.: Adaptive code offloading for mobile cloud applications: exploiting fuzzy sets and evidence-based learning. In: Proceedings of ACM MobiSys Workshop 2013, (Taipei, Taiwan), June 25–28 (2013)

    Google Scholar 

  15. Gordon, M.S., Jamshidi, D.A., S. Mahlke, Z. M. Mao, and X. Chen, comet: code offload by migrating execution transparently. In: Proceedings of USENIX Annual Technical Conference (ATC 2012) (Boston, MA, USA), June 13–15, (2012)

    Google Scholar 

  16. Shi, C., Habak, K., Pandurangan, P., Ammar, M., Naik, M., E. Zegura: Cosmos: computation offloading as a service for mobile devices, In: Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2014) (Philadelphia, PA, USA), August 11–14 (2014)

    Google Scholar 

  17. Flores, H., Hui, P., Tarkoma, S., Li, Y., Srirama, S., Buyya, R.: Mobile Code Offloading: From Concept to Practice and Beyond. IEEE Communications Magazine 53(3), 80–88 (2015)

    Article  Google Scholar 

  18. Verbelen, T., Simoens, P., De Turck, F., Dhoedt, B.: Cloudlets: Bringing the Cloud to the Mobile User, in Proceedings ACM MobiSys Workshop 2012, (Low Wood Bay, Lake District, United Kingdom), June 25–29 (2012)

    Google Scholar 

  19. Bahl, P., Han, R.Y., Li, L.E., Satyanarayanan, M.: Advancing the state of mobile cloud computing. In: Proceedings of ACM MobiSys Workshop 2012 (LowWood Bay, Lake District, United Kingdom), June 25–29 (2012)

    Google Scholar 

  20. Flores, H., Srirama, S.: Mobile code offloading: should it be a local decision or global inference? In: Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2013), (Taipei, Taiwan), June 25–28 (2013)

    Google Scholar 

  21. Flores, H., Sharma, R., Ferreira, D., Kostakos, V., Manner, J., Tarkoma, S., Hui, P., Li, Y., Manner, J.: Modeling mobile code acceleration in the cloud. In: Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS 2017), (Atlanta, GA, USA), June 5–8 (2017)

    Google Scholar 

  22. Skourletopoulos, G., Mavromoustakis, C.X., Mastorakis, G., Batalla, J.M., Pallis, E., Kormentzas, G.: Quantifying and evaluating the technical debt on mobile cloud-based service level. In: Proceedings of the IEEE International Conference on Communications (ICC 2016), (Kuala Lumpur, Malaysia), May 23–27 (2016)

    Google Scholar 

  23. Skourletopoulos, G., Mavromoustakis, C.X., Mastorakis, G., Batalla, J. M., Dobre, C., Panagiotakis, S., Pallis, E.: Big data and cloud computing: a survey of the state-of-the-art and research challenges. In: Advances in Mobile Cloud Computing and Big Data in the 5G Era, pp. 23–41 (2017)

    Google Scholar 

  24. Paniagua, C., et al.: Mobile Sensor Data Classification for Human Activity Recognition using MapReduce on Cloud. Procedia Comp. Sci. 10, 585–592 (2012)

    Article  Google Scholar 

  25. Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.: The case for VM-based cloudlets in mobile computing. IEEE Pervas. Comput. Mag. 8, 4, 14–23 (2009). Evidence-aware Mobile Cloud Architectures 19

    Google Scholar 

  26. Ra, M.R., Sheth, A., Mummert, L., Pillai, P., Wetherall, D., Govindan, R.: Odessa: enabling interactive perception applications on mobile devices. In: Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2011), (Washington, DC, USA), June 28– July 1, 2011

    Google Scholar 

  27. Saarinen, A., Siekkinen, M., Xiao, Y., Nurminen, J.K., Kemppainen, M., Hui, P.: Smart-diet: offloading popular apps to save energy. ACM SIGCOMM Comput. Commun. Rev. 42(4), 297–298 (2012)

    Article  Google Scholar 

  28. Flores, H., Sharma, R., Ferreira, D., Kostakos, V., Manner, J., Tarkoma, S., Hui, P., Li, Y.: Social-aware hybrid mobile offloading. Pervas. Mobile Comput. J. 36, 25–43 (2017)

    Article  Google Scholar 

  29. Barbera, M.V., Kosta, S., Mei, A., Perta, V.C., Stefa, J.: Mobile offloading in the wild: findings and lessons learned through a real-life experiment with a new cloud-aware system. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM 2014), (Toronto, Canada), April 27–May 2 (2014)

    Google Scholar 

  30. Flores, H., Sharma, R., Ferreira, D., Kostakos, V., Manner, J., Tarkoma, S., Hui, P., Li, Y.: Social-aware device-to-device communication: a contribution for edge and fog computing? In: Proceedings of the ACM International Joint Conference on Pervasive And Ubiquitous Computing (UbiComp 2016): Adjunct, (Heidelberg, Germany), September 12–16 (2016)

    Google Scholar 

  31. Oliner, A.J., Iyer, A.P., Stoica, I., Lagerspetz, E., Tarkoma, S.: Carat: collaborative energy diagnosis for mobile devices. In: Proceedings of the ACM Conference on Embedded Networked Sensor (Systems 2013), (Rome, Italy), November 11–14 (2013)

    Google Scholar 

  32. Kchaou, H., Kechaou, Z., Alimi, A.M.: Towards an offloading framework based on big data analytics in mobile cloud computing environments. Procedia Comp. Sci. 53, 292–297 (2016)

    Article  Google Scholar 

  33. Chen, G., Kang, B.T., Kandemir, M., Vijaykrishnan, N., Irwin, M.J., Chandramouli, R.: Studying energy trade offs in offloading computation/compilation in java-enabled mobile devices. IEEE Trans. Parallel Dist. Syst. 15(9), 795–809 (2004)

    Article  Google Scholar 

  34. Miettinen, A., Nurminen, J.K.: Energy efficiency of mobile clients in cloud computing. In: Proceedings of the USENIXWorkshop on Hot Topics in Cloud Computing (HotCloud 2010), (Boston, MA, USA), June 22–25 (2010)

    Google Scholar 

  35. Flores, H., Srirama, S.N.: Dynamic Re-configuration of mobile cloud middleware based on traffic. In: Proceedings of the IEEE International Conference on Mobile Ad hoc and Sensor Systems (MASS 2012), (Las Vegas, Nevada, USA), October 8–11 (2012)

    Google Scholar 

  36. Flores, H., Su, X., Kostakos, V., Yi Ding, A., Nurmi, P., Tarkoma, S., Hui, P., Li, Y.: Largescale offloading in the internet of things. In: Proceedings of the IEEE Annual International Conference on Pervasive Computing and Communications (PerCom 2017): Adjunct, (Kona, Big Island, Hawaii, USA), March 13–17 (2017)

    Google Scholar 

  37. Balachandran, A., Aggarwal, V., Halepovic, E., Pang, J., Seshan, S., Venkataraman, S., Yan, H.: Modeling web quality-of-experience on cellular networks. In: Proceedings of the Annual ACM International Conference on Mobile Computing and Networking (MobiCom 2014), (Maui, Hawaii, USA), September 7–11 (2014)

    Google Scholar 

  38. Satyanarayanan, M., Narayanan, D.: Multi-fidelity algorithms for interactive mobile applications. Wireless Netw. J. 7(6), 601–607 (2001)

    Article  MATH  Google Scholar 

  39. Kristensen, M., Bouvin, N.O.: Scheduling and development support in the scavenger cyber-foraging system. Pervas. Mobile Comput. J. 6(6), 677–692 (2010)

    Article  Google Scholar 

  40. Nawrocki, P., Reszelewski, W.: Resource usage optimization in mobile cloud computing. Comput, Commun (2016)

    Google Scholar 

  41. Silva, F.A., et al.: Mobile cloud face recognition based on smart cloud ranking. Computing. 1–25 (2016)

    Google Scholar 

  42. Schafer, D., et al.: Tasklets: better than best-effort computing. In: Proceedings of IEEE International Conference on Computer Communications and Networks (ICCCN 2016), (Waikoloa, Hawaii, USA), August 1–4, (2016)

    Google Scholar 

  43. Kwon, Y., et al.: Mantis: efficient predictions of execution time, energy usage, memory usage and network usage on smart mobile devices. IEEE Trans. Mobile Comput. 14(10), 2059–2072 (2015)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Center of Ubiquitious Computing, University of Oulu, Oulu, Finland

    Huber Flores & Vassilis Kostakos

  2. Department of Computer Science, University of Helsinki, Helsinki, Finland

    Sasu Tarkoma

  3. Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Kowloon, Hong Kong

    Pan Hui

  4. Department of Electronic Engineering, Tsinghua University, Beijing, China

    Yong Li

Authors
  1. Huber Flores
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  2. Vassilis Kostakos
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  3. Sasu Tarkoma
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  4. Pan Hui
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  5. Yong Li
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Corresponding author

Correspondence to Huber Flores .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Georgios Skourletopoulos

  2. Department of Business Administration, Technological Educational Institute Crete, Agios Nikolaos, Greece

    George Mastorakis

  3. Department of Computer Science, University of Nicosia, Nicosia, Cyprus

    Constandinos X. Mavromoustakis

  4. Department of Computer Science and Engineering, University Politehnica of Bucharest, Bucharest, Romania

    Ciprian Dobre

  5. Department of Informatics Engineering, Technological Educational Institute of Crete, Crete, Greece

    Evangelos Pallis

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Flores, H., Kostakos, V., Tarkoma, S., Hui, P., Li, Y. (2018). Evidence-Aware Mobile Cloud Architectures. In: Skourletopoulos, G., Mastorakis, G., Mavromoustakis, C., Dobre, C., Pallis, E. (eds) Mobile Big Data. Lecture Notes on Data Engineering and Communications Technologies, vol 10. Springer, Cham. https://doi.org/10.1007/978-3-319-67925-9_4

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  • DOI: https://doi.org/10.1007/978-3-319-67925-9_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67924-2

  • Online ISBN: 978-3-319-67925-9

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