The document discusses the development of an inter-cloud framework for componentizing and composing big services, focusing on enhancing efficiency through network-aware execution. It addresses challenges in multi-tenant cloud environments, promoting scalable and resilient execution of big data workloads. Future work includes leveraging cloud providers for improved connectivity and extending big services to edge computing.

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

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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.
Questions?

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Announcement!
● Please join the Erasmus Mundus Association
– em-a.eu