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Longest-processing-time-first (LPT) is a greedy algorithm for job scheduling. The input to the algorithm is a set of jobs, each of which has a specific processing-time. There is also a number m specifying the number of machines that can process the jobs. The LPT algorithm works as follows:
The analysis highlights Adaptations to other settings, Performance guarantees: identical machines and Properties as prominent areas in the source structure around Longest-processing-time-first scheduling.
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sum pi least greedy lpt items inputs input displaystyle bin algorithm small ratio contains two weight si partition optimal one
TTTA extracted structured relationships around Longest-processing-time-first scheduling. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
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The concept neighborhoods around Longest-processing-time-first scheduling bring nearby vocabulary together. In this analysis, examples include Bin, Pi and Sum. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Longest-processing-time-first scheduling, one of the stronger structural bridges in this analysis connects Longest-processing-time-first scheduling with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Longest-processing-time-first scheduling to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Adaptations to other settings, Performance guarantees: identical machines & Properties, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Longest-processing-time-first scheduling · EN edition · Analysis: TopicsToTalkAbout