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Article

A Survey of MPSoC Management toward Self-Awareness

by
Guillermo Gonzalez-Martinez
1,
Remberto Sandoval-Arechiga
1,2,*,
Luis Octavio Solis-Sanchez
1,
Laura Garcia-Luciano
1,
Salvador Ibarra-Delgado
1,2,
Juan Ramon Solis-Escobedo
1,
Jose Ricardo Gomez-Rodriguez
1,2 and
Viktor Ivan Rodriguez-Abdala
1,2
1
Posgrado en Ingeniería y Tecnología Aplicada (PITec), Universidad Autónoma de Zacatecas, Av. Ramón López Velarde, 801, Col. Centro, Zacatecas 98000, Mexico
2
Centro de Investigación, Innovación y Desarrollo en Telecomunicaciones (CIDTE), Universidad Autónoma de Zacatecas, Av. Ramón López Velarde, 801, Col. Centro, Zacatecas 98000, Mexico
*
Author to whom correspondence should be addressed.
Micromachines 2024, 15(5), 577; https://doi.org/10.3390/mi15050577
Submission received: 12 March 2024 / Revised: 16 April 2024 / Accepted: 23 April 2024 / Published: 26 April 2024

Abstract

Managing Multi-Processor Systems-on-Chip (MPSoCs) is becoming increasingly complex as demands for advanced capabilities rise. This complexity is due to the involvement of more processing elements and resources, leading to a higher degree of heterogeneity throughout the system. Over time, management schemes have evolved from simple to autonomous systems with continuous control and monitoring of various parameters such as power distribution, thermal events, fault tolerance, and system security. Autonomous management integrates self-awareness into the system, making it aware of its environment, behavior, and objectives. Self-Aware Cyber-Physical Systems-on-Chip (SA-CPSoCs) have emerged as a concept to achieve highly autonomous management. Communication infrastructure is also vital to SoCs, and Software-Defined Networks-on-Chip (SDNoCs) can serve as a base structure for self-aware systems-on-chip. This paper presents a survey of the evolution of MPSoC management over the last two decades, categorizing research works according to their objectives and improvements. It also discusses the characteristics and properties of SA-CPSoCs and explains why SDNoCs are crucial for these systems.
Keywords: multi-processor system-on-chip; MPSoC management; self-awareness; self-aware cyber-physical systems-on-chip; software-defined networks-on-chip; survey multi-processor system-on-chip; MPSoC management; self-awareness; self-aware cyber-physical systems-on-chip; software-defined networks-on-chip; survey

Share and Cite

MDPI and ACS Style

Gonzalez-Martinez, G.; Sandoval-Arechiga, R.; Solis-Sanchez, L.O.; Garcia-Luciano, L.; Ibarra-Delgado, S.; Solis-Escobedo, J.R.; Gomez-Rodriguez, J.R.; Rodriguez-Abdala, V.I. A Survey of MPSoC Management toward Self-Awareness. Micromachines 2024, 15, 577. https://doi.org/10.3390/mi15050577

AMA Style

Gonzalez-Martinez G, Sandoval-Arechiga R, Solis-Sanchez LO, Garcia-Luciano L, Ibarra-Delgado S, Solis-Escobedo JR, Gomez-Rodriguez JR, Rodriguez-Abdala VI. A Survey of MPSoC Management toward Self-Awareness. Micromachines. 2024; 15(5):577. https://doi.org/10.3390/mi15050577

Chicago/Turabian Style

Gonzalez-Martinez, Guillermo, Remberto Sandoval-Arechiga, Luis Octavio Solis-Sanchez, Laura Garcia-Luciano, Salvador Ibarra-Delgado, Juan Ramon Solis-Escobedo, Jose Ricardo Gomez-Rodriguez, and Viktor Ivan Rodriguez-Abdala. 2024. "A Survey of MPSoC Management toward Self-Awareness" Micromachines 15, no. 5: 577. https://doi.org/10.3390/mi15050577

APA Style

Gonzalez-Martinez, G., Sandoval-Arechiga, R., Solis-Sanchez, L. O., Garcia-Luciano, L., Ibarra-Delgado, S., Solis-Escobedo, J. R., Gomez-Rodriguez, J. R., & Rodriguez-Abdala, V. I. (2024). A Survey of MPSoC Management toward Self-Awareness. Micromachines, 15(5), 577. https://doi.org/10.3390/mi15050577

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