Impact synchronization strategies on the performance of parallel processes: a systematic review IMPACT OF SYNCHRONIZATION STRATEGIES ON THE PERFORMANCE OF PARALLEL PROCESSES: A SYSTEMATIC REVIEW: Process synchronization, parallel computing, performance, systematic review,PRISMA methodology

The report addresses the management of parallel processes and synchronization in concurrent systems, highlighting common problems in accessing shared resources that affect efficiency and stability. It also highlights the need to optimize the management of large volumes of data and improve academic c...

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Detalles Bibliográficos
Autores: Chávez Echevarria , Andres David, Osorio Ortiz , Enzo Martin, Chambi Flores , Mónica, Zapata Aguinaga, Fabio Sthefano Sneyder, Petrlik Azabache, Iván Carlo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Perú
Institución:Universidad de San Martín de Porres
Repositorio:Revistas - Universidad de San Martín de Porres
Idioma:español
OAI Identifier:oai:revistas.usmp.edu.pe:article/3023
Acceso en línea:https://portalrevistas.aulavirtualusmp.pe/index.php/rc/article/view/3023
Access Level:acceso abierto
Palabra clave:Sincronización de procesos, computación paralela, rendimiento, revisión sistemática, metodología PRISMA.
Process synchronization, parallel computing, performance, systematic review, PRISMA methodology
Descripción
Sumario:The report addresses the management of parallel processes and synchronization in concurrent systems, highlighting common problems in accessing shared resources that affect efficiency and stability. It also highlights the need to optimize the management of large volumes of data and improve academic cooperation to develop advanced solutions.The objective of the study is to identify and analyze synchronization strategies that optimize parallel processes, evaluating their effectiveness in different scenarios and offering recommendations based on recent literature. A systematic review was conducted using the PRISMA methodology, selecting relevant articles published in the last five years and formulating key questions to guide the analysis. The results highlight that non-blocking strategies are more effective for managing shared resources, and techniques such as the use of mutex and actor models contribute to efficiency and stability in concurrent systems. In addition, visual approaches facilitate the identification of key patterns in the synchronization of parallel processes. The study concludes that it is essential to implement interactive methods to teach concurrent and parallel programming, and to foster academic collaboration to overcome technological challenges. Recommendations emphasize prioritizing effective methodologies according to their applicability and promoting advanced strategies to improve the performance of concurrent systems.