@inproceedings{1cff8d5d1fdc4075bc2088160c67ca69,
title = "DALedger: Towards High-Performance Transaction Processing for Collaborative Decentralized Applications",
abstract = "Despite recent intensive research, existing blockchain systems still have limitations in supporting decentralized applications. In particular, although existing blockchain systems execute internal transactions of different applications concurrently, it is difficult to process the concurrent control considering both the cross-application transactions and internal transactions. The reason is that each application can only access the transactions related to it, and the conflicts between all transactions cannot be detected by the applications. To improve the concurrency of blockchain systems for decentralized applications, we propose a novel blockchain named as DLedger, which is designed based on the directed acyclic graph ledge structure. DALedger supports the concurrent execution of not only internal transactions in the same application but also internal transactions and cross-DApp transactions. We prove that cycles in the dependency graph must have a special dangerous structure, which can be detected in a single application{\textquoteright}s partial dependency graph. Based on that, we propose a novel concurrency control mechanism to resolve concurrency conflicts, while ensuring serializability. We conduct more extensive experiments compared with state-of-the-art blockchain ledgers for decentralized applications. Experimental results show that our method outperforms existing works significantly.",
keywords = "Blockchain, Concurrency Control, Data Confidentiality",
author = "Junkai Wang and Zhiwei Zhang and Shuai Zhao and Jiang Xiao and Ye Yuan and Guoren Wang",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 28th International Conference on Database Systems for Advanced Applications, DASFAA 2023 ; Conference date: 17-04-2023 Through 20-04-2023",
year = "2023",
doi = "10.1007/978-3-031-30637-2_32",
language = "English",
isbn = "9783031306365",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "499--508",
editor = "Xin Wang and Sapino, {Maria Luisa} and Wook-Shin Han and {El Abbadi}, Amr and Gill Dobbie and Zhiyong Feng and Yingxiao Shao and Hongzhi Yin",
booktitle = "Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023, Proceedings",
address = "Germany",
}