TY - GEN
T1 - Towards dependable, scalable, and pervasive distributed ledgers with blockchains
AU - Zhang, Kaiwen
AU - Jacobsen, Hans Arno
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/19
Y1 - 2018/7/19
N2 - Distributed blockchain ledgers are on the verge of becoming a disruptive technology, profoundly impacting a wide range of industries and established applications, such as cryptocurrency, and allowing for novel use cases in both the public sector (e.g., eGovernment, eHealth, etc.) and the private sector (e.g., finance, supply chain management, etc.). Blockchains promise the ability to maintain critical information in a trustworthy repository without any centralized management. The reliability of blockchain-enabled applications is based on the innate immutability of stored data, maintained through cryptographic means, which enables blockchains to provide transparency, efficiency, auditability, trust, and security. As the technology is still in its infancy, a number of pain points must be addressed in order to make distributed ledgers more dependable, scalable, and pervasive. In this paper, we present the research landscape in distributed ledger technology (DLT). To do so, we describe a taxonomy of blockchain applications called blockchain generations. We also present the DCS properties (Decentralization, Consistency, and Scalability) as an analogy to the CAP theorem. Furthermore, we provide a general structure of the blockchain platform which decomposes the distributed ledger into six layers: Application, Modeling, Contract, System, Data, and Network. Finally, we classify research angles across three dimensions: DCS properties impacted, targeted applications, and related layers.
AB - Distributed blockchain ledgers are on the verge of becoming a disruptive technology, profoundly impacting a wide range of industries and established applications, such as cryptocurrency, and allowing for novel use cases in both the public sector (e.g., eGovernment, eHealth, etc.) and the private sector (e.g., finance, supply chain management, etc.). Blockchains promise the ability to maintain critical information in a trustworthy repository without any centralized management. The reliability of blockchain-enabled applications is based on the innate immutability of stored data, maintained through cryptographic means, which enables blockchains to provide transparency, efficiency, auditability, trust, and security. As the technology is still in its infancy, a number of pain points must be addressed in order to make distributed ledgers more dependable, scalable, and pervasive. In this paper, we present the research landscape in distributed ledger technology (DLT). To do so, we describe a taxonomy of blockchain applications called blockchain generations. We also present the DCS properties (Decentralization, Consistency, and Scalability) as an analogy to the CAP theorem. Furthermore, we provide a general structure of the blockchain platform which decomposes the distributed ledger into six layers: Application, Modeling, Contract, System, Data, and Network. Finally, we classify research angles across three dimensions: DCS properties impacted, targeted applications, and related layers.
KW - Bitcoin
KW - Blockchain
KW - Distributed Ledger Technology
KW - Ethereum
KW - Hyperledger
UR - http://www.scopus.com/inward/record.url?scp=85050519384&partnerID=8YFLogxK
U2 - 10.1109/ICDCS.2018.00134
DO - 10.1109/ICDCS.2018.00134
M3 - Conference contribution
AN - SCOPUS:85050519384
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 1337
EP - 1346
BT - Proceedings - 2018 IEEE 38th International Conference on Distributed Computing Systems, ICDCS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 38th IEEE International Conference on Distributed Computing Systems, ICDCS 2018
Y2 - 2 July 2018 through 5 July 2018
ER -