자료유형 | 학위논문 |
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서명/저자사항 | Serializability and Heterogeneous Trust from Two Phase Commit to Blockchains. |
개인저자 | Sheff, Isaac Cameron. |
단체저자명 | Cornell University. Computer Science. |
발행사항 | [S.l.]: Cornell University., 2019. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2019. |
형태사항 | 243 p. |
기본자료 저록 | Dissertations Abstracts International 81-04B. Dissertation Abstract International |
ISBN | 9781088380376 |
학위논문주기 | Thesis (Ph.D.)--Cornell University, 2019. |
일반주기 |
Source: Dissertations Abstracts International, Volume: 81-04, Section: B.
Advisor: Myers, Andrew C. |
이용제한사항 | This item must not be sold to any third party vendors. |
요약 | As distributed systems become more federated and cross-domain, we are forced to rethink some of our core abstractions. We need heterogeneous systems with rigorous consistency and self-authentication guarantees, despite a complex landscape of security and failure tolerance assumptions. I have designed, built, and evaluated heterogeneous distributed algorithms with broad applications from medical privacy to blockchains.This dissertation examines three novel building blocks for this vision.First, I show that serializable transactions cannot always be securely scheduled when data has different levels of confidentiality. I have identified a useful subset of transactions that can always be securely scheduled, and built a system to check and execute them.Second, I present Charlotte, a heterogeneous system that supports composable Authenticated Distributed Data Structures (like Git, PKIs, or Bitcoin). I show that Charlotte produces significant performance improvements compared to a single, universally trusted blockchain.Finally, I develop a rigorous generalization of the consensus problem, and present the first distributed consensus which tolerates heterogeneous failures, heterogeneous participants, and heterogeneous observers. With this consensus, cross-domain systems can maintain ADDSs, or schedule transactions, without the expensive overhead that comes from tolerating the sum of everyone's fears. |
일반주제명 | Computer science. |
언어 | 영어 |
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