Empowering low-latency applications through a serverless edge computing architecture

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10465 LNCS, Issue , 2017, Pages 196-210

  Baresi, Luciano ^a   Filgueira Mendonça, Danilo ^a   Garriga, Martin ^a  

^a POLITECNICO DI MILANO   (Italy)

Author keywords

Edge computing; Low latency applications; Mobile Edge Computing; Serverless architectures

Indexed keywords

AUGMENTED REALITY; CLOUD COMPUTING; COST EFFECTIVENESS;

COMPUTATIONAL RESOURCES; COST EFFECTIVE; DATA INTENSIVE; EDGE COMPUTING; EXPONENTIAL INCREASE; IOT APPLICATIONS; LOW LATENCY; SERVERLESS ARCHITECTURE;

COMPUTER ARCHITECTURE;

EID: 85030724329     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-67262-5_15     Document Type: Conference Paper

References (24)

1. Dehos, C., González, J.L., Domenico, A.D., Kténas, D., Dussopt, L.: Millimeter-wave access and backhauling: the solution to the exponential data traffic increase in 5G mobile communications systems? IEEE Commun. Mag. 52(9), 88–95 (2014)
2. Tarneberg, W., Mehta, A., Wadbro, E., Tordsson, J., Eker, J., Kihl, M., Elmroth, E.: Dynamic application placement in the mobile cloud network. Future Gener. Comput. Syst. 70, 163–177 (2017)
3. Beck, M.T., Werner, M., Feld, S., Schimper, S.: Mobile edge computing: a taxonomy. In: Proceedings of the Sixth International Conference on Advances in Future Internet, pp. 48–54 (2014)
4. Satria, D., Park, D., Jo, M.: Recovery for overloaded mobile edge computing. Future Gener. Comput. Syst. 70, 138–147 (2017)
5. Pahl, C.: Containerization and the PaaS cloud. IEEE Cloud Comput. 2(3), 24–31 (2015)
6. Roberts, M.: Serverless architectures: what is serverless? (2016). http://martinfowler.com/articles/serverless.html
7. Fromm, K.: Why the future of software and apps is serverless (2012). http://readwrite.com/2012/10/15/why-the-future-of-software-and-apps-is-serverless/
8. Salman, O., Elhajj, I., Kayssi, A., Chehab, A.: Edge computing enabling the Internet of Things. In: IEEE World Forum on Internet of Things (WF-IoT), pp. 603–608, December 2015
9. Ahmed, A., Ahmed, E.: A survey on mobile edge computing. In: 2016 10th International Conference on Intelligent Systems and Control (ISCO), pp. 1–8, January 2016
10. Hu, Y.C., Patel, M., Sabella, D., Sprecher, N., Young, V.: Mobile edge computing: a key technology towards 5G. ETSI White Paper 11 (2015)
11. Hendrickson, S., Sturdevant, S., Harter, T., Venkataramani, V., Arpaci-Dusseau, A.C., Arpaci-Dusseau, R.H.: Serverless computation with openlambda. In: Proceedings of the 8th USENIX Conference on Hot Topics in Cloud Computing, pp. 33–39 (2016)
12. Villamizar, M., Garcés, O., Ochoa, L., Castro, H., Salamanca, L., Verano, M., Casallas, R., Gil, S., Valencia, C., Zambrano, A., Lang, M.: Cost comparison of running web applications in the cloud using monolithic, microservice, and AWS lambda architectures. Serv. Oriented Comput. Appl. 11(2), 233–247 (2017)
13. Barfield, W.: Fundamentals of Wearable Computers and Augmented Reality. CRC Press, Boca Raton (2015)
14. Huang, B.R., Lin, C.H., Lee, C.H.: Mobile augmented reality based on cloud computing. In: Anti-counterfeiting, Security, and Identification, pp. 1–5, August 2012
15. Wagner, D., Schmalstieg, D., Bischof, H.: Multiple target detection and tracking with guaranteed framerates on mobile phones. In: IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 57–64 (2009)
16. Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: an evaluation of the state of the art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4), 743–761 (2012)
17. Baresi, L., Guinea, S., Mendonca, D.F.: A3droid: a framework for developing distributed crowdsensing. In: 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), pp. 1–6, March 2016
18. Sill, A.: Standards at the edge of the cloud. IEEE Cloud Comput. 4(2), 63–67 (2017)
19. Abase, A.H., Khafagy, M.H., Omara, F.A.: Locality sim: cloud simulator with data locality. Int. J. Cloud Comput. Serv. Archit. (IJCCSA) 6, 17–31 (2016)
20. Rodriguez-Santana, B.G., Viveros, A.M., Carvajal-Gámez, B.E., Trejo-Osorio, D.C.: Mobile computation offloading architecture for mobile augmented reality, case study: visualization of cetacean skeleton. Int. J. Adv. Comput. Sci. Appl. 1(7), 665–671 (2016)
21. Nokia Siemens Networks, Intel: Increasing mobile operators’ value proposition with edge computing (2013). http://www.intel.co.id/content/dam/www/public/us/en/documents/technology-briefs/edge-computing-tech-brief.pdf
22. Ismail, B.I., Goortani, E.M., Karim, M.B.A., Tat, W.M., Setapa, S., Luke, J.Y., Hoe, O.H.: Evaluation of docker as edge computing platform. In: 2015 IEEE Conference on Open Systems (ICOS), pp. 130–135, August 2015
23. de Lara, E., Gomes, C.S., Langridge, S., Mortazavi, S.H., Roodi, M.: Hierarchical serverless computing for the mobile edge. In: IEEE/ACM Symposium on Edge Computing (SEC), pp. 109–110. IEEE (2016)
24. Baresi, L., Guinea, S., Leva, A., Quattrocchi, G.: A discrete-time feedback controller for containerized cloud applications. In: Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, pp. 217–228 (2016)