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Thursday, September 6 • 11:00am - 11:30am
Extending DPDK Flow Classification Libraries for Determinism and Cloud Users

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In this talk we will briefly present new technologies to extend DPDK flow classification libraries to cover more general use cases. We will fist provide an overview of the different classification libraries (e.g. hash library, EFD library, membership library, ..etc.) and highlight the set of usages where each library is a best fit for. Next, we provide details of new extensions that we are adding to the hash library to support read/write concurrency and guaranteed flow insertion, Both features, in our point of view, are must have for a wide set of usages especially to support telco workloads. Additionally we present new research directions we are investigating on how to use DPDK flow classification libraries to optimize cloud key-value stores. We highlight bottlenecks of the current indexing schemes of such huge stores, and how DPDK can be augmented (e.g. by extending membership library to support range filters, and lossy caches, ..etc.) to help address these bottlenecks. We are soliciting feedback of DPDK developers and users on our new research directions and looking forward to any collaboration opportunity to optimize cloud workloads.


Sameh Gobriel

Research Scientist, Intel

Thursday September 6, 2018 11:00am - 11:30am IST

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