Towards an Experimental LegoLand: Slice Modification and Recovery in ExoGENI Testbed

  • Yufeng XinEmail author
  • Ilya Baldin
  • Anirban Mandal
  • Paul Ruth
  • Jeff Chase
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 177)


This paper describes advanced capabilities that were deployed recently in the ExoGENI testbed to offer increased flexibility in provisioning, modifying, and recovering the topologies and the configuration settings of the virtual systems, or slices, in which experiments are run. Using the analogy of building complex structures with LEGO blocks, we envision an environment in which users arbitrarily scale out, scale in, scale up, and scale down their topologies using various modular constructs of compute, storage, and network resources. Portions of topologies can be shut down and brought back up to support resiliency, repeatability, migration, and other needs of the control software or application. Distributed applications running inside of slices can require programmatic control over the evolution of the topology as the execution progresses. The introduced capabilities, slice modification and slice recovery, are used either with the user GUI or through the programmable APIs. These new features expand the range and ease of options available to cloud-control software and to application developers as they test their designs at scale.


Virtual Machine Network Interface Storage Node Virtual Topology Reservation State 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Baldin, I., Chase, J., Xin, Y., Mandal, A., Ruth, P., Castillo, C., Orlikowski, V., Heermann, C., Mills, J.: Exogeni: a multi-domain infrastructure-as-a-service testbed. In: McGeer, R., Berman, M., Elliott, C., Ricci, R. (eds.) GENI: Prototype of the Next Internet. Springer-Verlag, New York (2016)Google Scholar
  2. 2.
    Baldine, I., Xin, Y., Mandal, A., Heermann, C., Chase, J., Marupadi, V., Yumerefendi, A., Irwin, D.: Orchestration, autonomic cloud network: a GENI perspective. In: 2nd International Workshop on Management of Emerging Networks and Services (IEEE MENS 2010), Co-Located with GLOBECOM 2010, December 2010Google Scholar
  3. 3.
    Baldine, I., Xin, Y., Mandal, A., Ruth, P., Yumerefendi, A., Chase, J.: Exogeni: a multi-domain infrastructure-as-a-service testbed. In: TridentCom: International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, June 2012Google Scholar
  4. 4.
    Ballani, H., Costa, P., Karagiannis, T., Rowstron, A.: Towards predictable datacenter networks. In: Proceedings of the ACM SIGCOMM 2011 Conference, SIGCOMM 2011, pp. 242–253. ACM, New York (2011)Google Scholar
  5. 5.
    Berman, M., Chase, J.S., Landweber, L., Nakao, A., Ott, M., Raychaudhuri, D., Ricci, R., Seskar, I.: GENI: a federated testbed for innovative network experiments. Comput. Netw. 61, 5–23 (2014)CrossRefGoogle Scholar
  6. 6.
    Chard, R., Bubendorfer, K., Ng, B.: Network health and e-science in commercial clouds. Future Gener. Comput. Syst. 56, 595–604 (2016)CrossRefGoogle Scholar
  7. 7.
  8. 8.
    Fu, Y., Chase, J., Chun, B., Schwab, S., Vahdat, A.: SHARP: an architecture for secure resource peering. In: Proceedings of the 19th ACM Symposium on Operating System Principles, October 2003Google Scholar
  9. 9.
    Gibbons, P.B.: Big data: scale down, scale up, scale out. In: Keynote Talk at the 29th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2015), Hyderabad, India, May 2015Google Scholar
  10. 10.
    Hwang, K., Bai, X., Shi, Y., Li, M., Chen, W.-G., Wu, Y.: Cloud performance modeling with benchmark evaluation of elastic scaling strategies. IEEE Trans. Parallel Distrib. Syst. 27(1), 130–143 (2016)CrossRefGoogle Scholar
  11. 11.
    Irwin, D., Chase, J.S., Grit, L., Yumerefendi, A., Becker, D., Yocum, K.G.: Sharing networked resources with brokered leases. In: Proceedings of the USENIX Technical Conference, June 2006Google Scholar
  12. 12.
    Kang, J.-M., Lin, T., Bannazadeh, H., Leon-Garcia, A.: Software-defined infrastructure and the SAVI testbed. In: Leung, C.V., Chen, M., Wan, J., Zhang, Y. (eds.) Testbeds and Research Infrastructure: Development of Networks and Communities: 9th International ICST Conference, pp. 3–13. Springer International Publishing, Cham (2014)Google Scholar
  13. 13.
    McGeer, R., Berman, M., Elliott, C., Ricci, R. (eds.): GENI: Prototype of the Next Internet. Springer-Verlag, New York (2016). In production for publication, July 2016Google Scholar
  14. 14.
    Shen, Z., Subbiah, S., Gu, X., Wilkes, J.: Cloudscale: elastic resource scaling for multi-tenant cloud systems. In: Proceedings of the 2Nd ACM Symposium on Cloud Computing, SOCC 2011, pp. 5:1–5:14. ACM, New York (2011)Google Scholar
  15. 15.
    Xin, Y., Baldin, I., Heerman, C., Mandal, A., Ruth, P.: Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service. In: ITC’26 Workshop on Federated Future Internet and Distributed Cloud Testbeds (FIDC 2014), Karlskrona, Sweden, September 2014Google Scholar

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Yufeng Xin
    • 1
    Email author
  • Ilya Baldin
    • 1
  • Anirban Mandal
    • 1
  • Paul Ruth
    • 1
  • Jeff Chase
    • 2
  1. 1.RENCIUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2.Department of Computer ScienceDuke UniversityDurhamUSA

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