EconPapers    
Economics at your fingertips  
 

Efficient Rollup Batch Posting Strategy on Base Layer

Akaki Mamageishvili and Edward W. Felten

Papers from arXiv.org

Abstract: We design efficient and robust algorithms for the batch posting of rollup chain calldata on the base layer chain, using tools from operations research. We relate the costs of posting and delaying, by converting them to the same units and adding them up. The algorithm that keeps the average and maximum queued number of batches tolerable enough improves the posting costs of the trivial algorithm, which posts batches immediately when they are created, by 8%. On the other hand, the algorithm that only cares moderately about the batch queue length can improve the trivial algorithm posting costs by 29%. Our findings can be used by layer two projects that post data to the base layer at some regular rate.

Date: 2022-12, Revised 2023-02
New Economics Papers: this item is included in nep-cmp
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://arxiv.org/pdf/2212.10337 Latest version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2212.10337

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators (help@arxiv.org).

 
Page updated 2025-03-19
Handle: RePEc:arx:papers:2212.10337