Preprint / Version 1

The Impact of Process Competition on Energy Consumption: Analysis and Modeling

##article.authors##

  • Prof. Dr. Joberto S. B. Martins Universidade Salvador (UNIFACS) https://orcid.org/0000-0003-1310-9366
  • Eduardo Gomes Campos Polytechnic School of the University of São Paulo
  • Rafaela Sousa de Alencar Lacerda Polytechnic School of the University of São Paulo
  • Adnei Willian Donatti Polytechnic School of the University of São Paulo
  • Charles C. Miers Santa Catarina State University
  • Tereza C. M. B. Carvalho Polytechnic School of the University of São Paulo

DOI:

https://doi.org/10.31224/6492

Keywords:

Energy Consumption, Resource Competition, Process, Kubernetes, Energy Optimization, Threads Consumption

Abstract

With the development of distributed systems, the need to manage the sharing of machines among multiple concurrent users has arisen. In the cloud computing context, the simultaneous instantiation of virtual machines and containers by different users on the same infrastructure leads to contention for physical computational resources. In this regard, this paper analyses a process’s energy consumption as a function of the competition for computational resources it encounters. Investigating this behavior is fundamental to many applications, including pricing in cloud computing services and task scheduling and load balancing, while improving energy efficiency. To determine this behavior, experiments were conducted, yielding a dependence on the number of processor cores on the physical machine hosting the process. As the number of cores increases, the process’s energy consumption as a function of the competition it faces transitions from linear to a root function.

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Author Biography

Prof. Dr. Joberto S. B. Martins, Universidade Salvador (UNIFACS)

Full Professor in the Postgraduate Program in Regional and Urban Development (PPDRU) at Salvador University (UNIFACS) and Full Retired Professor at the Federal University of Paraiba (UFPB). Earned a Ph.D. in Computer Science from Université Pierre et Marie Curie - UPMC, Paris-Sorbonne, France (1986). International Professor at HTW - Hochschule für Technik und Wirtschaft des Saarlandes (Germany) since 2003. Senior Research Period at Université Paris-Saclay in 2016 and Postdoc at ICSI - University of California, Berkeley (USA) in 1995. Leads LABCIS (Laboratory of Smart and Sustainable Cities) and NUPERC (Computer Network Group) at Salvador University, focused on Smart City, Machine Learning, Urban Planning, Urban Development, and Network Slicing. Former Invited Professor at Université Paris VI and Institut National des Télécommunications (INT) in France. Key speaker, teacher, and invited lecturer at international congresses and companies in Brazil and Europe. Former member of the Board of Trustees, Bahia State Research Support Foundation (FAPESB). Member of the IEEE Smart City Committee and former member of the IEEE Smart Grid Research Committees. IEEE Life Senior member.

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Posted

2026-02-18