Andrea Merlina

• Merlina, Andrea; Vitenberg, Roman & Setty, Vinay (2022). A General and Configurable Framework for Blockchain-based Marketplaces. In Hong, Jiman; Bures, Miroslav; Park, Juw Won & Cerny, Tomas (Ed.), SAC '22: Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing. Association for Computing Machinery (ACM). ISSN 978-1-4503-8713-2. p. 216–225. doi: 10.1145/3477314.3507039.
• Song, Weijia; Yang, Yuting; Liu, Thompson; Merlina, Andrea; Garrett, Thiago & Vitenberg, Roman [Show all 10 contributors for this article] (2022). Cascade: An Edge Computing Platform for Real-time Machine Intelligence, ApPLIED '22: Proceedings of the 2022 Workshop on Advanced tools, programming languages, and PLatforms for Implementing and Evaluating algorithms for Distributed systems. Association for Computing Machinery (ACM). ISSN 978-1-4503-9280-8. p. 2–6. doi: 10.1145/3524053.3542741. Show summary

  Intelligent IoT is a prerequisite for societal priorities such as a smart power grid, smart urban infrastructures and smart highways. These applications bring requirements such as real-time guarantees, data and action consistency, fault-tolerance, high availability, temporal data indexing, scalability, and even self-organization and self-stabilization. Existing platforms are oriented towards asynchronous, out of band upload of data to the cloud: Important functionality, but not enough to address the need. Cornell's Cascade project seeks to close the gap by creating a new platform for hosting ML and AI, optimized to achieve sharply lower delay and substantially higher bandwidth than in any existing platform. At the same time, Cascade introduces much stronger guarantees - a mix that we believe will be particularly appealing in applications where events should trigger a quick and trustworthy response. This short paper is intended as a brief overview of the effort, with details to be published elsewhere.

• Merlina, Andrea (2019). BlockML: a useful proof of work system based on machine learning tasks. In Nawab, Faisal & Riviere, Etienne (Ed.), Middleware '19: Proceedings of the 20th International Middleware Conference Doctoral Symposium. Association for Computing Machinery (ACM). ISSN 978-1-4503-7039-4. p. 6–9. doi: 10.1145/3366624.3368156.

View all works in Cristin

• Merlina, Andrea; Vitenberg, Roman & Setty, Vinay Jayarama (2019). Towards Useful Proof of Work: combining Blockchain and Machine Learning .

View all works in Cristin