Abstract
Batching has been studied extensively in the offline case, but many applications such as manufacturing or TCP acknowledgement require online solutions. We consider online batching problems, where the order of jobs to be batched is fixed and where we seek to minimize average flow time. We present optimally competitive algorithms for s-batch (competitive ratio 2) and p-batch problems (competitive ratio of 4). We also derive results for naturally occurring special cases. In particular, we consider the case of unit processing times.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Editors | Torben Hagerup, Jyrki Katajainen |
| Publisher | Springer Verlag |
| Pages | 77-89 |
| Number of pages | 13 |
| ISBN (Electronic) | 3540223398, 9783540223399 |
| DOIs | |
| State | Published - 2004 |
| Externally published | Yes |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3111 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Batching
- Design of Algorithms
- Online Algorithms
- TCP acknowledgement
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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