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Software-Defined Inter-Cloud Composition of Big Services

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This is the presentation I did to the audience of EMJD-DC Spring Event 2017 Brussels to discuss my research. http://kkpradeeban.blogspot.be/2017/05/emjd-dc-spring-event-2017.html

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Software-Defined Inter-Cloud Composition of Big Services

  1. 1. Pradeeban Kathiravelu (INESC-ID/IST ULisboa, Portugal and UCLouvain, Belgium) Supervised By: Prof. Lu s Veiga (INESC-ID/IST ULisboa)ıı Prof. Marco Canini (KAUST) Prof. Peter Van Roy (UCLouvain) Software-Defined Inter-Cloud Composition of Big Services EMJD-DC Spring Event, Brussels May 30, 2017
  2. 2. 2/12 Introduction ● Big services with complex workloads. – Geographically distributed big data. – Resource availabilities at remote locations; for example, ● Distributed clouds. ● Volunteer computing. ● Edge computing. ● Service Level Agreements (SLAs) in multi-tenant clouds.
  3. 3. 3/12 Challenges ● Big services in multi-tenant environments. – Differentiated QoS in cloud networks. ● Can we discriminate the services with redundancy in data and execution paths?
  4. 4. 4/12 Motivation ● Componentize Big Services in the Internet. ● Efficient network-aware composition and execution of big services.
  5. 5. 5/12 Contributions ● An inter-cloud framework to componentize and compose big services. – Execute them as a network-aware distributed service composition. – Modelling, Scalability, and orchestration. ● Use the current best-fit execution path. – Web services and microservices as the building blocks of the big services.
  6. 6. 6/12 Approach ● Network-level guarantees based on application/service-level inputs. – Synergy of services with network.
  7. 7. 7/12 Mayan (Componentizing Big Services) ● A scalable resilient framework for inter-domain big service execution.
  8. 8. 8/12 Prototype Assessments ● Increased QoS and Speedup. – Performance growth = f(problem size, workflow as services). ● Network-aware scalability and distribution. ● Minimize communication and coordination overheads.
  9. 9. 9/12 Conclusion● Summary – Synergy of network and service level properties in big service execution. – Componentizing big services and execute as service compositions. – Scalability and resilience for multi-tenant distributed clouds. – A federated controller deployment to orchestrate inter-cloud networks. ● Future Work – Leverage cloud providers for differentiated connectivity. – Big Services to the Edge.
  10. 10. 10/12 Publications (Since 2016 Spring Event) Book Chapter ● Kathiravelu, P. & Veiga, L. (2017). SDN helps other Vs in Big Data. Chapter of Big Data and Software Defined Networks. Sep. 2017. 21 pages. (Camera-ready copy submitted).
  11. 11. 11/12 Conference Proceedings ● Kathiravelu, P. & Veiga, L. (2017). SD-CPS: Taming the Challenges of Cyber-Physical Systems with a Software- Defined Approach. In The 4th International Conference on Software Defined Systems (SDS-2017). May 2017. 8 pages. To Appear. ● Kathiravelu, P. & Veiga, L. (2017). SDN Middlebox Architecture for Resilient Transfers. In 15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017), May 2017. 4 pages. To Appear. ● Kathiravelu, P. & Veiga, L. (2016). Software-Defined Simulations for Continuous Development of Cloud and Data Center Networks. In 24 th International Conference on Cooperative Information Systems (CoopIS 2016). On the Move to Meaningful Internet Systems: OTM 2016 Conferences, pp. 3 – 23. Springer International Publishing, Oct. 2016. ● Kathiravelu, P., & Veiga, L. (2016). Selective Redundancy in Network-as-a-Service: Differentiated QoS in Multi- tenant Clouds. In OTM Confederated International Conferences. On the Move to Meaningful Internet Systems (pp. 87-97). EI2N 2016. Springer, Cham. ● Kathiravelu, P. & Sharma, A. (2016). A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes. In 2nd International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH'16), co-located with 42 nd International Conference on Very Large Data Bases. Sep. 2016. LNCS. pp. 101 – 120. ● Caixinha, D., Kathiravelu, P. & Veiga, L. (2016). ViTeNA: An SDN-Based Virtual Network Embedding Algorithm for Multi-Tenant Data Centers. In 15 th IEEE International Symposium on Network Computing and Applications (NCA 2016), Oct. 2016. pp. 140 – 147.
  12. 12. 12/12 Conference Proceedings ● Kathiravelu, P. & Veiga, L. (2017). SD-CPS: Taming the Challenges of Cyber-Physical Systems with a Software- Defined Approach. In The 4th International Conference on Software Defined Systems (SDS-2017). May 2017. 8 pages. To Appear. ● Kathiravelu, P. & Veiga, L. (2017). SDN Middlebox Architecture for Resilient Transfers. In 15th IFIP/IEEE International Symposium on Integrated Network Management (IM 2017), May 2017. 4 pages. To Appear. ● Kathiravelu, P. & Veiga, L. (2016). Software-Defined Simulations for Continuous Development of Cloud and Data Center Networks. In 24 th International Conference on Cooperative Information Systems (CoopIS 2016). On the Move to Meaningful Internet Systems: OTM 2016 Conferences, pp. 3 – 23. Springer International Publishing, Oct. 2016. ● Kathiravelu, P., & Veiga, L. (2016). Selective Redundancy in Network-as-a-Service: Differentiated QoS in Multi- tenant Clouds. In OTM Confederated International Conferences. On the Move to Meaningful Internet Systems (pp. 87-97). EI2N 2016. Springer, Cham. ● Kathiravelu, P. & Sharma, A. (2016). A Dynamic Data Warehousing Platform for Creating and Accessing Biomedical Data Lakes. In 2nd International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH'16), co-located with 42 nd International Conference on Very Large Data Bases. Sep. 2016. LNCS. pp. 101 – 120. ● Caixinha, D., Kathiravelu, P. & Veiga, L. (2016). ViTeNA: An SDN-Based Virtual Network Embedding Algorithm for Multi-Tenant Data Centers. In 15 th IEEE International Symposium on Network Computing and Applications (NCA 2016), Oct. 2016. pp. 140 – 147. Thank you. Questions?
  13. 13. 13/12 Announcement! ● Please join the Erasmus Mundus Association – em-a.eu

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