The Library
Evaluation of online strategies for reordering buffers
Tools
Tools
Tools
Englert, Matthias, Röglin, H. and Westermann, M. (2009) Evaluation of online strategies for reordering buffers. Experimental Algorithmics (JEA), Volume 14 . Article number 3. doi:10.1145/1498698.1564503
![[img]](http://wrap.warwick.ac.uk/style/images/fileicons/application_pdf.png) |
PDF
a3_3-englert.pdf - Published Version Embargoed item. Restricted access to Repository staff only - Requires a PDF viewer. Download (369Kb) |
Official URL: http://dx.doi.org/10.1145/1498698.1564503
Abstract
A sequence of objects that are characterized by their color has to be processed. Their processing order influences how efficiently they can be processed: Each color change between two consecutive objects produces costs. A reordering buffer, which is a random access buffer with storage capacity for k objects, can be used to rearrange this sequence online in such a way that the total costs are reduced. This concept is useful for many applications in computer science and economics.
The strategy with the best-known competitive ratio is MAP. An upper bound of O(log k) on the competitive ratio of MAP is known and a nonconstant lower bound on the competitive ratio is not known. Based on theoretical considerations and experimental evaluations, we give strong evidence that the previously used proof techniques are not suitable to show an o(&sqrt;log k) upper bound on the competitive ratio of MAP. However, we also give some evidence that in fact MAP achieves a competitive ratio of O(1).
Further, we evaluate the performance of several strategies on random input sequences experimentally. MAP and its variants RC and RR clearly outperform the other strategies FIFO, LRU, and MCF. In particular, MAP, RC, and RR are the only known strategies whose competitive ratios do not depend on the buffer size. Furthermore, MAP achieves the smallest competitive ratio.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
| Divisions: | Faculty of Science > Computer Science | ||||
| Journal or Publication Title: | Experimental Algorithmics (JEA) | ||||
| Publisher: | Association for Computing Machinery | ||||
| ISSN: | 1084-6654 | ||||
| Official Date: | 1 December 2009 | ||||
| Dates: |
|
||||
| Date of first compliant deposit: | 28 July 2016 | ||||
| Volume: | Volume 14 | ||||
| Article Number: | Article number 3 | ||||
| DOI: | 10.1145/1498698.1564503 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
