Scalability Analysis of Blockchain on a Serverless Cloud
| dc.contributor.author | Kaplunovich, Alex | |
| dc.contributor.author | Joshi, Karuna P. | |
| dc.contributor.author | Yesha, Yelena | |
| dc.date.accessioned | 2020-02-03T15:28:22Z | |
| dc.date.available | 2020-02-03T15:28:22Z | |
| dc.date.issued | 2019-12-10 | |
| dc.description | In proceedings of 7th International Workshop on Distributed Storage and Blockchain Technologies for Big Data, held in conjunction with IEEE International Conference on Big Data, 2019 | en_US |
| dc.description.abstract | While adopting Blockchain technologies to automate their enterprise functionality, organizations are recognizing the challenges of scalability and manual configuration that the state of art present. Scalability of Hyperledger Fabric is an open challenge recognized by the research community. We have automated many of the configuration steps of installing Hyperledger Fabric Blockchain on AWS infrastructure and have benchmarked the scalability of that system. We have used the UCR (University of California Riverside) Time Series Archive with 128 timeseries datasets containing over 191,177 rows of data totaling 76,453,742 numbers. Using an automated Serverless approach, we have loaded this dataset, by chunks, into different AWS instances, triggering the load by SQS messaging. In this paper, we present the results of this benchmarking study and describe the approach we took to automate the Hyperledger Fabric processes using serverless Lambda functions and SQS triggering. We will also discuss what is needed to make the Blockchain technology more robust and scalable. | en_US |
| dc.description.sponsorship | This research was partially supported by a DoD supplement to the NSF award #1439663: NSF I/UCRC Center for Hybrid Multicore Productivity Research (CHMPR). | en_US |
| dc.format.extent | 9 pages | en_US |
| dc.genre | conference papers and proceedings preprints | en_US |
| dc.identifier | doi:10.13016/m2w8pj-llhk | |
| dc.identifier.citation | Kaplunovich, Alex; Joshi, Karuna P.; Yesha, Yelena; Scalability Analysis of Blockchain on a Serverless Cloud; In proceedings of 7th International Workshop on Distributed Storage and Blockchain Technologies for Big Data, held in conjunction with IEEE International Conference on Big Data, 2019; https://ebiquity.umbc.edu/paper/html/id/878/Scalability-Analysis-of-Blockchain-on-a-Serverless-Cloud | en_US |
| dc.identifier.uri | http://hdl.handle.net/11603/17207 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | IEEE | en_US |
| dc.relation.isAvailableAt | The University of Maryland, Baltimore County (UMBC) | |
| dc.relation.ispartof | UMBC Computer Science and Electrical Engineering Department Collection | |
| dc.relation.ispartof | UMBC Student Collection | |
| dc.relation.ispartof | UMBC Faculty Collection | |
| dc.rights | This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author. | |
| dc.rights | ©2019 IEEE | |
| dc.subject | UMBC Ebiquity Research Group | |
| dc.title | Scalability Analysis of Blockchain on a Serverless Cloud | en_US |
| dc.type | Text | en_US |