Abstract
Mobile devices have become ubiquitous, being used to perform all kinds of daily tasks, from surfing the web, reading e-mails, playing video games, reading and writing documents, and so on. As a result, the edges of the Internet have become resource-rich spaces with millions of devices. To contribute to the world of crowd-sourcing applications being developed for the edge, we propose a new category of applications that require participating users to cooperate among themselves, in order to achieve a common goal. To this end we propose Sage, a distributed middleware for the real-time aggregation of events in the specific context of cooperative control. Sage is a generic framework able to aggregate data received, from a small number to thousands of sources, into a stream of events to be handed out to the final application.
This work was supported by FCT-MCTES via project DeDuCe (PTDC/CCI-COM/32166/2017) and NOVA LINCS (UIDB/04516/2020). We also wish to thank Samsung for supporting this work with state-of-the-art hardware.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The higher the \(\alpha \) factor, the steepest is the CIMD increase and the AIMD decrease.
References
Apache Software Foundation Incubator: Apache Edgent Overview. https://edgent.apache.org/docs/home.html
ArcadeClassics.net: Arkanoid: Classic arcade game video, history and game play overview. https://arcadeclassics.net/80s-game-videos/arkanoid/
Carbone, P., Katsifodimos, A., Ewen, S., Markl, V., Haridi, S., Tzoumas, K.: Apache flink: stream and batch processing in a single engine. Bull. IEEE Comput. Soc. Tech. Committee Data Eng. 36(4) (2015)
Centre for Computing History: Atari Pong. http://www.computinghistory.org.uk/det/4007/Atari-PONG
Dautov, R., Distefano, S.: Stream processing on clustered edge devices. IEEE Trans. Cloud Comput. 10(2), 885–898 (2022)
Dias, J., Silva, J.A., Paulino, H.: Adaptive replica selection in mobile edge environments. In: Hara, T., Yamaguchi, H. (eds.) Mobile and Ubiquitous Systems: Computing, Networking and Services, vol. 419, pp. 243–263. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-94822-1_14
Fernando, N., Loke, S.W., Rahayu, W.: Computing with nearby mobile devices: a work sharing algorithm for mobile edge-clouds. IEEE Trans. Cloud Comput. 7(2), 329–343 (2016)
Google: Sensor types | android open source project. https://source.android.com/devices/sensors/sensor-types#game_rotation_vector
Ha, S., Rhee, I., Xu, L.: CUBIC: a new TCP-friendly high-speed TCP variant. ACM SIGOPS Oper. Syst. Rev. 42(5), 64–74 (2008)
Leikas, J., Stromberg, H., Ikonen, V., Suomela, R., Heinila, J.: Multi-user mobile applications and a public display: novel ways for social interaction. In: Fourth Annual IEEE International Conference on Pervasive Computing and Communications (PERCOM 2006), pp. 5-pp. IEEE (2006)
Microsoft: Streaming Analytics - Data Analysis in Real Time. https://azure.microsoft.com/pt-pt/services/stream-analytics/
Mohtasham, A., Barreto, J.P.: RUBIC: online parallelism tuning for co-located transactional memory applications. In: Scheideler, C., Gilbert, S. (eds.) Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures, SPAA 2016, Asilomar State Beach/Pacific Grove, CA, USA, 11–13 July 2016, pp. 99–108. ACM (2016)
Morales, J., Rosas, E., Hidalgo, N.: Symbiosis: sharing mobile resources for stream processing. In: IEEE Symposium on Computers and Communications, ISCC 2014, Funchal, Madeira, Portugal, 23–26 June 2014, pp. 1–6. IEEE Computer Society (2014)
Renart, E.G., Montes, J.D., Parashar, M.: Data-driven stream processing at the edge. In: 1st IEEE International Conference on Fog and Edge Computing, ICFEC 2017, Madrid, Spain, 14–15 May 2017, pp. 31–40. IEEE Computer Society (2017)
Sajjad, H.P., Danniswara, K., Al-Shishtawy, A., Vlassov, V.: Spanedge: towards unifying stream processing over central and near-the-edge data centers. In: IEEE/ACM Symposium on Edge Computing, SEC 2016, Washington, DC, USA, 27–28 October 2016, pp. 168–178. IEEE Computer Society (2016)
Sanches, P., Silva, J.A., Teófilo, A., Paulino, H.: Data-centric distributed computing on networks of mobile devices. In: Malawski, M., Rzadca, K. (eds.) Euro-Par 2020. LNCS, vol. 12247, pp. 296–311. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-57675-2_19
Silva, J.A., Cerqueira, F., Paulino, H., Lourenço, J.M., Leitão, J., Preguiça, N.M.: It’s about thyme: on the design and implementation of a time-aware reactive storage system for pervasive edge computing environments. Future Gener. Comput. Syst. 118, 14–36 (2021)
Toshniwal, A., et al.: Storm@twitter. In: Dyreson, C.E., Li, F., Özsu, M.T. (eds.) International Conference on Management of Data, SIGMOD 2014, Snowbird, UT, USA, 22–27 June 2014, pp. 147–156. ACM (2014)
Vajk, T., Coulton, P., Bamford, W., Edwards, R.: Using a mobile phone as a “wii-like” controller for playing games on a large public display. Int. J. Comput. Games Technol. 2008 (2008)
Xu, J., Palanisamy, B., Wang, Q., Ludwig, H., Gopisetty, S.: Amnis: Optimized stream processing for edge computing. J. Parallel Distributed Comput. 160, 49–64 (2022)
Zaharia, M., et al.: Apache spark: a unified engine for big data processing. Commun. ACM 59(11), 56–65 (2016)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Coelho, N., Ribeiro, D., Paulino, H. (2023). Sage: A Multiuser Cooperative Controller for Mobile Edge Systems. In: Longfei, S., Bodhi, P. (eds) Mobile and Ubiquitous Systems: Computing, Networking and Services. MobiQuitous 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 492. Springer, Cham. https://doi.org/10.1007/978-3-031-34776-4_17
Download citation
DOI: https://doi.org/10.1007/978-3-031-34776-4_17
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34775-7
Online ISBN: 978-3-031-34776-4
eBook Packages: Computer ScienceComputer Science (R0)