Integrating Blockchain & Big Data

Welcome to this month’s meeting of Hyperledger LA!

Come hear Wyatt Meldman-Floch, CTO and cofounder of Constellation Labs, discuss the integration of Big Data and Blockchain technology!

7:00 Networking
7:30 Technical presentation
8:30 Wrap-up & Networking

Technical Talk:
The main limitation to traditional linear blockchain technology is scalability. Most approaches to scalability improvements utilize L2 solutions such as sharding or partitioning. However, a limitation of these L2 approaches is a lack of resilience to node failures due to the stateful nature of blockchain protocols. Backend systems that can dynamically adapt to changes in throughput or outright resource failure are know as elastic infrastructure, which are a core feature of most tools for large scale data processing. In order to achieve native integration with traditional backend systems, stateful P2P networks need elastic infrastructure. MEME, an online machine learning model created at Constellation Labs was created to address elasticity in stateful peer to peer networks such as blockchain protocols and cryptocurrencies associated to them. MEME is an ensamble model comprised of three known approaches to quantify performance and influence of a participant in P2P networks that can be incorporated with any proof model such as proof of work (PoW), proof of stake (PoS) or proof of reputable observation (PRO). The focus of this presentation is on elastic infrastructure and MEME, an approach for maintaining elasticity in blockchain/DAG clusters created and used by Constellation Labs.

Come hear from a great speaker and connect with the LA blockchain community!

**ABOUT OUR SPEAKER**
Wyatt is the CTO and cofounder of Constellation Labs, where he developed an asynchronous DAG protocol to powering a decentralized data marketplace. He is a software engineer based in San Francisco with over six years of professional experience specializing in distributed systems and machine learning. Wyatt’s career began at NASA’s SETI Institute where he contributed to the Kepler project and implemented an entropy-based algorithm to detect intelligent (alien) communication. Prior to cofounding Constellation Labs, he served as a software engineer for Rally Health, Radius Intelligence and Zignal Labs, where he built scalable data processing pipelines for data mining, distributed graph based NLP models, and stream processing platforms for data enrichment at the Twitter firehose at scale.