Pradeeban Kathiravelu is a PhD student researching how to use SDN to improve QoS and data quality in multi-tenant data center networks. His approach is to deploy an extended SDN controller architecture to increase QoS and enhance data quality for stored and processed data. He has published several papers on this topic and ongoing work includes the SMART project, with promising results showing improved data isolation, quality, and QoS guarantees through the use of SDN.

1. SDN-Based Enhancements to QoS and Data Quality in
Multi-Tenanted Data Center Clouds
Pradeeban Kathiravelu
Supervised by: Prof. Lu´ıs Veiga
Distributed Systems Group, INESC-ID Lisboa
Instituto Superior T´ecnico, Universidade de Lisboa
Lisbon, Portugal
IEEE International Conference on Cloud Engineering (IC2E) 2016.
Doctoral Symposium.
April 04, 2016. Berlin, Germany.
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2. Introduction
About me..
A second year PhD student at IST-ULisboa.
Started in September 2014.
Expected to Graduate: September 2018.
Various research and industrial collaborations.
Emory University, Atlanta, USA
Collaborations: 2014 - 2016.
Visiting PhD Scholar: 2016 March - August.
University of Rijeka, Croatia (COST Action IC1304).
OpenDaylight Internship.
Google Summer of Code 2015.
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3. Introduction
Introduction
Tenants assume various roles in the enterprise data center networks.
Differentiated Quality of Service (QoS).
Data quality.
Isolation guarantees.
Data storage and processing.
Distributed.
Centralized.
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4. Introduction
Introduction
Tenants assume various roles in the enterprise data center networks.
Differentiated Quality of Service (QoS).
Data quality.
Isolation guarantees.
Data storage and processing.
Distributed.
Horizontal scalability.
Centralized.
Management efficiency.
Accuracy.
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5. Motivation
Motivation
Software-Defined Networking (SDN).
Global view of the entire data center network
A logically centralized controller.
Best of both worlds.
Scalability of the large-scale distributed systems.
Unified management capabilities of the traditional centralized systems.
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6. Research Approach
Approach
Deploy an extended SDN controller architecture.
Increase the QoS of the multi-tenanted data center network clouds.
Enhance the data quality of stored and processed data.
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7. Publications
Research Approach and Major Components
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8. Publications
Publications
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9. Publications
Publications
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10. Contributions
∂u∂u - CoopIS 2015
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11. Contributions
Data Caf´e - AMIA-CRI 2016
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12. Contributions
MediCurator - AMIA-CRI 2016
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13. Contributions
MEDIator - SIGKDD/BigCHat 2015
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14. Contributions
FIRM - MiPro 2016 – CTI
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15. Contributions
xSDN - IC2E/SDS 2015
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16. Contributions
SENDIM - IC2E 2016
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17. Contributions
CHIEF - SDS 2016
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18. Contributions
Cassowary - Middleware/M4IOT 2015
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19. Ongoing Work
SMART
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20. Conclusion
Conclusion and Future Work
A scalable SDN-based architecture for enterprise data center solutions
of BigData.
Promising results
Data isolation guarantees in a multi-tenanted network.
Increased data quality and QoS guarantees.
Scalable data center clouds without compromising the management
abilities.
Leveraging SDN.
Iterative Implementation.
More research to improve QoS in data center clouds.
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21. Conclusion
Conclusion and Future Work
A scalable SDN-based architecture for enterprise data center solutions
of BigData.
Promising results
Data isolation guarantees in a multi-tenanted network.
Increased data quality and QoS guarantees.
Scalable data center clouds without compromising the management
abilities.
Leveraging SDN.
Iterative Implementation.
More research to improve QoS in data center clouds.
Thank you!
Questions?
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