NFVinc: Disponibilizando Serviços Inovadores na Rede com Tecnologia NFV

• Giovanni Venâncio UFPR
• Rogério C. Turchetti UFSM
• Elias P. Duarte Jr. UFPR

DOI: https://doi.org/10.5753/wcga.2021.17120

Abstract

Network Function Virtualization (NFV) allows the replacement by software of middleboxes traditionally implemented as specialized hardware. Although most VNFs implement classic middlebox functionalities, such as firewalls or intrusion detection, NFV technology can be used to provide services offered by the network itself that are employed by end-user applications. In this way, applications and systems normally executed by users on edge hosts, are now fully executed within the network, in the paradigm that has been called InNetwork Computing (INC). We argue that using NFV to implement INC services has several advantages such as flexibility and cost. In this work we describe NFVinc, an architecture that allows developers to make available both their INC services and APIs that allow user applications to access those services. NFVinc is compliant with the popular NFV-MANO reference architecture proposed by the ETSI. Three case studies are presented demonstrating the flexibility and effectiveness of the NFVinc architecture.

References

Borran, F., Hutle, M., Santos, N., and Schiper, A. (2012). Quantitative analysis of consensus algorithms. IEEE Transactions on Dependable and Secure Computing, 9(2).

Bosshart, P., Daly, D., Gibb, G., Izzard, M., McKeown, N., Rexford, J., Schlesinger, C., Talayco, D., Vahdat, A., Varghese, G., et al. (2014). P4: Programming protocol-independent packet processors. ACM SIGCOMM Computer Communication Review, 44(3):87–95.

Bressana, P., Zilberman, N., Vucinic, D., and Soulé, R. (2020). Trading latency for compute in the network. In Proceedings of the 2020 Workshop on Network Application Integration/CoDesign, NAI@SIGCOMM 2020, Virtual Event, USA, August 14, 2020, pages 35–40. ACM.

Canini, M., Kuznetsov, P., Levin, D., and Schmid, S. (2015). A distributed and robust SDN control plane for transactional network updates. In IEEE Conference on Computer Communications (INFOCOM).

Chandra, T. D. and Toueg, S. (1996). Unreliable failure detectors for reliable distributed systems. Journal of ACM, 43(2).

Dang, H. T., Bressana, P., Wang, H., Lee, K. S., Zilberman, N., Weatherspoon, H., Canini, M., Pedone, F., and Soulé, R. (2020). P4xos: Consensus as a network service. IEEE/ACM Transactions on Networking.

Dang, H. T., Canini, M., Pedone, F., and Soulé, R. (2016). Paxos made switch-y. ACM SIGCOMM Computer Communication Review, 46(2):18–24.

Dang, H. T., Sciascia, D., Canini, M., Pedone, F., and Soulé, R. (2015). Netpaxos: Consensus at network speed. In Symposium on Software Defined Networking Research, (SOSR’15/SIGCOMM).

Dean, J. and Ghemawat, S. (2008). Mapreduce: simplified data processing on large clusters. Communications of the ACM, 51(1):107–113.

Défago, X., Schiper, A., and Urbán, P. (2004). Total order broadcast and multicast algorithms: Taxonomy and survey. ACM Comput. Surv., 36(4):372–421.

Fischer, M. J., Lynch, N. A., and Paterson, M. S. (1985). Impossibility of distributed consensus with one faulty process. Journal of ACM, 32(2).

Ho, C. C., Wang, K., and Hsu, Y. H. (2016). A fast consensus algorithm for multiple controllers in software-defined networks. In 18th International Conference on Advanced Communication Technology (ICACT).

Lamport, L. (1998). The part-time parliament. ACM Transactions on Computer Systems (TOCS), 16(2).

Liu, M., Luo, L., Nelson, J., Ceze, L., Krishnamurthy, A., and Atreya, K. (2017).

Incbricks: Toward in-network computation with an in-network cache. In ACM ASPLOS, pages 795–809.

McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., Shenker, S., and Turner, J. (2008). Openow: Enabling innovation in campus networks. SIGCOMM Comput. Commun. Rev., 38(2):69–74.

Mijumbi, R., Serrat, J., Gorricho, J. L., Bouten, N., Turck, F. D., and Boutaba, R. (2016). Network Function IEEE Communications Surveys Tutorials, Virtualization: State-of-the-Art and Research Challenges. 18(1).

Quittek, J., Bauskar, P., BenMeriem, T., Bennett, A., Besson, M., and et al (2014). Network Functions Virtualisation (NFV); Management and Orchestration. GS NFV-MAN 001 V1.1.1. Technical report, ETSI.

Sapio, A., Abdelaziz, I., Aldilaijan, A., Canini, M., and Kalnis, P. (2017). In-network computation is a dumb idea whose time has come. In Proceedings of the 16th ACM Workshop on Hot Topics in Networks, pages 150–156.

Tokusashi, Y., Dang, H. T., Pedone, F., Soulé, R., and Zilberman, N. (2019). The case for in-network computing on demand. In Proceedings of the Fourteenth EuroSys Conference 2019, pages 1–16.

Turchetti, R. C. and Duarte, E. P. (2015). Implementation of a failure detector based on network function virtualization. In IEEE DSNWorkshops, pages 19–25.

Turchetti, R. C. and Duarte Jr, E. P. (2017). Nfv-fd: Implementation of a failure detector using network virtualization technology. International Journal of Network Management, 27(6):e1988.

Venâncio, G., Turchetti, R. C., de Camargo, E. T., and Jr., E. P. D. (2019). Vnf-consensus: A virtual network function for maintaining a consistent distributed SDN control plane. In IFIP IEEE LANOMS.

Venâncio, G., Turchetti, R. C., and Duarte, E. P. (2019). Nfv-rbcast: Enabling the network to offer reliable and ordered broadcast services. In IEEE LADC.