Metric Space Indices for Dynamic Optimization in a Peer to Peer-Based Image Classification Crowdsourcing Platform

Fernando Loor, Veronica Gil-Costa () and Mauricio Marin
Additional contact information
Fernando Loor: Facultad de Ciencias Físico Matemáticas y Naturales, Universidad Nacional de San Luis, San Luis 5700, Argentina
Veronica Gil-Costa: Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Facultad de Ciencias Físico Matemáticas y Naturales, Universidad Nacional de San Luis, San Luis 5700, Argentina
Mauricio Marin: Centre for Biotechnology and Engineering (CeBiB), Departamento de Ingeniería Informática, Universidad de Santiago, Santiago 15782, Chile

Future Internet, 2024, vol. 16, issue 6, 1-29

Abstract: Large-scale computer platforms that process users’ online requests must be capable of handling unexpected spikes in arrival rates. These platforms, which are composed of distributed components, can be configured with parameters to ensure both the quality of the results obtained for each request and low response times. In this work, we propose a dynamic optimization engine based on metric space indexing to address this problem. The engine is integrated into the platform and periodically monitors performance metrics to determine whether new configuration parameter values need to be computed. Our case study focuses on a P2P platform designed for classifying crowdsourced images related to natural disasters. We evaluate our approach under scenarios with high and low workloads, comparing it against alternative methods based on deep reinforcement learning. The results show that our approach reduces processing time by an average of 40%.

Keywords: metric spaces; P2P–STB-based platform; self-tuning of parameters; performance computing (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://www.mdpi.com/1999-5903/16/6/202/pdf (application/pdf)
https://www.mdpi.com/1999-5903/16/6/202/ (text/html)

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:gam:jftint:v:16:y:2024:i:6:p:202-:d:1410009

Access Statistics for this article

Future Internet is currently edited by Ms. Grace You

More articles in Future Internet from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().