| Reference : A serverless distributed ledger for enterprises |
| Scientific congresses, symposiums and conference proceedings : Paper published in a journal | |||
| Engineering, computing & technology : Computer science Business & economic sciences : Management information systems | |||
| Security, Reliability and Trust | |||
| http://hdl.handle.net/10993/53790 | |||
| A serverless distributed ledger for enterprises | |
| English | |
Sedlmeir, Johannes  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX >] | |
| Wagner, Tim [] | |
| Djerekarov, Emil [] | |
| Green, Ryan [] | |
| Klepsch, Johannes [] | |
| Rao, Shruthi [] | |
| 4-Jan-2022 | |
| Proceedings of the 55th Hawaii International Conference on System Sciences | |
| 7382-7391 | |
| Yes | |
| International | |
| HICSS 2022 | |
| January 3rd 2022 to January 6th 2022 | |
| Hawaii | |
| [en] Blockchain engineering ; business ; cloud ; distributed database ; DLT ; permissioned blockchain | |
| [en] Enterprises have been attracted by the capability of blockchains to provide a single source of truth for workloads that span companies, geographies, and clouds while retaining the independence of each party’s IT operations. However, so far production applications have remained rare, stymied by technical limitations of existing blockchain technologies and challenges with their integration into enterprises’ IT systems. In this paper, we collect enterprises’ requirements on distributed ledgers for data sharing and integration from a technical perspective, argue that they are not sufficiently addressed by available blockchain frameworks, and propose a novel distributed ledger design that is “serverless”, i.e., built on cloud-native resources. We evaluate its qualitative and quantitative properties and give evidence that enterprises already
heavily reliant on cloud service providers would consider such an approach acceptable, particularly if it offers ease of deployment, low transactional cost structure, and a combination of latency and scalability aligned with real-time IT application needs. | |
| http://hdl.handle.net/10993/53790 |
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