Revision as of 17:25, 25 March 2019

What I'm Working On

This page is my attempt to keep track of all the things I'm working on...

Improving the performance of Hyperledger Fabric. We've already got it to [20,000 tps (see FastFabric), and our goal is to get to 100,000 tps while adding support for Byzantine fault tolerance. Our approach is based on RCanopus and further parallelizing the committer peer (with Christian Gorenflo, Qingnan Duan, Linguan Wang, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)

Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev)

Managing patient data consent on Fabric (with Rishav Agarwal, Dhruv Kumar, Pedro Velmovitsky, Plinio Morita, and Lukasz Golab)

Using Fabric to provide an audit trail for electric vehicle charging (with Christian Gorenflo, Lukasz Golab, and SWTCH EV Inc.)

Conflict resolution for hot keys in Fabric (with Christian Gorenflo and Lukasz Golab)

Using deep neural networks to compute optimal (MPC-computed) storage operation strategies (with Fiodar Kazhamiaka and Catherine Rosenberg)

Using computer vision algorithms to estimate the degree of snow cover on solar panels (with Jia Ying Lin)

Designing and building an off-grid system to capture e-scooter activity and accidents (with Tingyun Liu and Lime Inc.)

Improving the description of research outcomes from my energy systems research (with Shela Qiu)

Comparing permissioned blockchains to distributed databases (with Lukaz Golab and (at UCSB) Divy Agarwal)

Last updated March 25, 2019

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 ==Blockchain Research==
-* Improving the performance of Hyperledger Fabric. We've already got it to 20,000 tps (see FastFabric), and our goal is to get to 100,000 tps while adding support for Byzantine fault tolerance. Our approach is based on RCanopus and further parallelizing the committer peer (with Christian Gorenflo, Qingnan Duan, Linguan Wang, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
+* Improving the performance of Hyperledger Fabric. We've already got it to [20,000 tps (see [https://arxiv.org/abs/1901.00910 FastFabric]), and our goal is to get to 100,000 tps while adding support for Byzantine fault tolerance. Our approach is based on [https://arxiv.org/abs/1810.09300 RCanopus] and further parallelizing the committer peer (with Christian Gorenflo, Qingnan Duan, Linguan Wang, Bernard Wong, and (at UMass) Stephen Lee and Prashant Shenoy)
 * Designing a trusted smart meter to ensure that data that enters a blockchain can be relied upon. (with Dimcho Karakashev)