DETERMINISTIC INFORMATION PULL AND AGGREGATION IN A DESTINATION-ORIENTED DIRECTED ACYCLIC GRAPH (DODAG) TOPOLOGY
2023
- 28Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage28
- Downloads26
- Abstract Views2
Article Description
Techniques are presented herein that support a deterministic collection method in the form of a scheduled pull mechanism, whereby a collection point may compute a schedule and then distribute the same so that all of the collecting nodes and network nodes can optimally transmit, aggregate, and relay information to the collection point. Under aspects of the presented techniques, a distributed set may be organized as a Destination-Oriented Directed Acyclic Graph (DODAG) topology to the collection point. The above-described schedule may then be generated whereby the DODAG parents emit only after all of their children (and, recursively, all of their descendants) have emitted. Under such an approach, an application-aware parent can aggregate (or factorize) the data and consume minimal bandwidth. A second schedule may be generated just for missing data, accounting only for the sources where information was lost, so that retry operations comprise smaller schedules.
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