DiscoverSplunk [AI/ML, Splunk Machine Learning Toolkit] 2019 .conf Videos w/ SlidesMaximizing permissioned blockchain throughput using Samsung SDS Accelerator and Splunk MLTK [Splunk Enterprise, AI/ML]
Maximizing permissioned blockchain throughput using Samsung SDS Accelerator and Splunk MLTK [Splunk Enterprise, AI/ML]

Maximizing permissioned blockchain throughput using Samsung SDS Accelerator and Splunk MLTK [Splunk Enterprise, AI/ML]

Update: 2019-12-24
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Description

Blockchain scalability is one of the main barriers to adoption of this revolutionary new technology. Finance, supply chain, and e-commerce blockchain deployments often have peak throughputs that far exceed their baseline. For example, when tickets for a popular concert go on sale, the peak transaction throughput will result in unacceptable latency for the users. Samsung SDS Accelerator is a layer 2 scaling solution for Hyperledger Fabric that enables up to 10x transaction throughput during this burst of activity. Using Splunk MLTK, we’re able to detect and react to these bursts of activity without compromising the security guarantees of the underlying blockchain.


Speaker(s)
Jeff Wu, Senior Product Manager, Blockchain, Splunk
Ted Kim, Samsung SDS



Slides PDF link - https://conf.splunk.com/files/2019/slides/FN2069.pdf?podcast=1577146258


Product: Splunk Enterprise, AI/ML


Track: Foundations/Platform


Level: Intermediate

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Maximizing permissioned blockchain throughput using Samsung SDS Accelerator and Splunk MLTK [Splunk Enterprise, AI/ML]

Maximizing permissioned blockchain throughput using Samsung SDS Accelerator and Splunk MLTK [Splunk Enterprise, AI/ML]

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