The team describes it as "A high-throughput flexible public blockchain based on trusted sharding" and they outline their intentions to provide an innovative solution to the problem through their proposal of a trusted sharding model for transactions, computation as well as storage on a Blockchain.
Zhao, Liu, and Lee have proposed using a discrete-event (DE) model of computation as a programming model for distributed real-time embedded systems.
Roughly speaking, Ptolemy aims at modeling concurrent systems, studying system models, various models of computation, etc. as explained above.
The objective of this paper was to check if, by using the underlying model and computations as in [ 10], ranks are suitable phenotypes to estimate the aptitude of the horse to compete: genetic and environmental abilities.
As depicted in Fig. 2 a, there are six places in relay and watchdog selection HPLN, whereas seven places in the HLPN model for trust computation, as shown in Fig. 2 b.
Unlike the linear and control models, the transient and two-phase models require extensive computation as the Deviance may have multiple local minima at any choice of latency φ (fixed when fitting the model).
In the computation-as-model approach, computations are encoded as mathematical structures and consist of such items as nodes, transitions, and states.
Spark models streaming computations as a series of stateless, deterministic batch computations on small batches of data—(mu )-batch.
Apache Spark is used as the model's computation engine as it allows for massively parallel computation, horizontal scalability on commodity hardware, and supports a rich set of APIs based on map-reduce functions, machine learning algorithms, and commonly used statistical routines.
