Proof of comprehensive performance

0Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Proof-of-work (PoW), the most prevalent consensus layer for permissionless blockchains, requires miners to devote a huge amount of computational resources. As a consequence, some miners use application-specific integrated circuits (ASICs) for PoW, which raises the bar for normal miners to join, making the blockchain network centralized. Furthermore, such machines can only do PoW but nothing else, which leads to a massive waste of resources in both hardware and electricity. It is desirable to make full use of these resources, e.g., for scientific computation. In this paper, we propose a new type of consensus layer named proof of comprehensive performance (PoCP). It considers both computation and space power by combining PoW and PoSpace in a sophistic design. As a result, one cannot gain advantage by upgrading her device in one dimension; if she is willing to upgrade her device in both dimensions, that is equal to buy multiple PCs. Therefore, miners with normal PCs have equal chance to win the mining. PoCP also provides a low confirmation latency and a high throughput to meet the requirements of daily transactions, and it reduces the energy consumption. Furthermore, miners are able to do other meaningful tasks such as scientific computation during mining.

References Powered by Scopus

OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding

884Citations
N/AReaders
Get full text

SpaceMint: A Cryptocurrency Based on Proofs of Space

64Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Zhang, C., Cao, X., Liu, J., & Ren, K. (2021). Proof of comprehensive performance. In SBC 2021 - Proceedings of the 9th International Workshop on Security in Blockchain and Cloud Computing, co-located with ASIA CCS 2021 (pp. 29–34). Association for Computing Machinery, Inc. https://doi.org/10.1145/3457977.3460296

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 5

83%

Researcher 1

17%

Readers' Discipline

Tooltip

Computer Science 3

50%

Engineering 2

33%

Business, Management and Accounting 1

17%

Save time finding and organizing research with Mendeley

Sign up for free