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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, BrusselsMay 30, 2017
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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.
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Challenges
● Big services in multi-tenant environments.
– Differentiated QoS in cloud networks.
● Can we discriminate the services with redundancy in data and execution paths?
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Motivation● Componentize Big Services in the Internet.
● Efficient network-aware composition and execution of big services.
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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.
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Approach● Network-level guarantees based on
application/service-level inputs.
– Synergy of services with network.
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Mayan (Componentizing Big Services)
● A scalable resilient framework for inter-domain big service execution.
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Prototype Assessments● Increased QoS and Speedup.
– Performance growth =
f(problem size, workflow as services).
● Network-aware scalability and distribution.
● Minimize communication and coordination overheads.
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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.
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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).
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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.
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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.
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