As shown in Fig.1, the consensus process of the PBFT algorithm is divided into five phases, namely Request, Pre-Prepare, Prepare, Commit and Reply. The flow chart of the algorithm is shown in the diagram below. Figure 1 PBFT algorithm flow chart. ...
Communication Overhead Among the three main phases of the PBFT consensus process, in the pre-prepare phase, the master node broadcasts a message to all replica nodes with a communication count of (N-1) (where N is the number of nodes). In the prepare phase, the nodes send verification ...
Fuzzy Grouping has fewer external parameters to tune than Fuzzy Lookup; nonetheless, understanding some of its internals can help you achieve optimal performance. Fuzzy Grouping uses Fuzzy Lookup under the covers to perform the grouping. For instance, Fuzzy Grouping passes its tokenization string intact...
Starting on August 13th, you can even 'follow' Venus as it passes into the field of view SOHO's LASCO C3 camera. Though Venus transited the Sun in 2012 two inferior conjunctions prior to this year, it won't do so again as seen from Earth until 2117. Looking west on the evening of ...
Fuzzy Grouping passes its tokenization string intact to Fuzzy Lookup. At run-time, Fuzzy Grouping uses to Fuzzy Lookup to build a temporary ETI against the input data and uses it to determine which input rows are close to each other. Depending on the number of results it gets back and the...
Fuzzy Grouping passes its tokenization string intact to Fuzzy Lookup. At run-time, Fuzzy Grouping uses to Fuzzy Lookup to build a temporary ETI against the input data and uses it to determine which input rows are close to each other. Depending on the number of results it gets back and the...
The two main variables that determine Fuzzy Lookup performance are the size of the reference data and the size of the input data. These variables correspond to the two phases of Fuzzy Lookup: building the ETI and actually performing the lookup. In general, these tasks are linear in the size...
The two main variables that determine Fuzzy Lookup performance are the size of the reference data and the size of the input data. These variables correspond to the two phases of Fuzzy Lookup: building the ETI and actually performing the lookup. In general, these tasks are linear in the size...