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The presented work continues the line of recent distributed computing communityefforts dedicated to the theoretical aspects of blockchains. This paper is the rst tospecify blockchains as a composition of abstract data types all together with a hierarchyof consistency criteria that formally characterizes the histories admissible for distributedprograms that use them. Our work is based on an original oracle-based constructionthat, along with new consistency deffnitions, captures the eventual convergence processin blockchain systems. The paper presents as well some results on implementability ofthe presented abstractions and a mapping of representative existing blockchains fromboth academia and industry in our framework.
FOS: Computer and information sciences, Blockchain, Computer Science - Distributed, Parallel, and Cluster Computing, Abstract Data Type, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Consistency Criteria, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Distributed, Parallel, and Cluster Computing (cs.DC), [INFO] Computer Science [cs]
FOS: Computer and information sciences, Blockchain, Computer Science - Distributed, Parallel, and Cluster Computing, Abstract Data Type, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Consistency Criteria, [INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS], Distributed, Parallel, and Cluster Computing (cs.DC), [INFO] Computer Science [cs]
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 14 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |