Modelling distributed computing workloads to support the study of scheduling decisions

Autor(es)

Ribeiro Gabriel, Paulo Henrique ; de Mello, Rodrigo Fernandes

• Tipo de documento: Artigo Científico
• Fonte: International Journal of Computational Science and Engineering; v. 11, n. 2, p. 155-166, 2015.
• Citações Web of Science: 2

Resumo

Process scheduling is one of the most important issues in distributed computing. However, this problem still requires further formalisation to understand the consequences of scheduler decisions. To overcome this drawback, this paper defines the behaviour of computer workloads in terms of a dynamical system model, in which next workload states depend on previous ones. The model considers all variables which influence a computer workload at a time instant t, i.e., received, migrated and processed workloads, as well as the degree of dependence among application processes. It has been validated by a set of experiments which consider: 1) a real-world application, running on a GNU/Linux system; 2) a simulated model, in which all variables are modelled according to probability density functions; 3) an emulated scenario, which provides an environment similar to a real-world distributed system. The experiments allowed the conclusion that the proposed model is consistent with the real-world environment and, therefore, both simulator and emulator present the same tendencies of the real-world scenario. (AU)

• Processo FAPESP: 11/02655-9 - Análise de influências provenientes da tomada de decisões centralizadas e distribuídas no escalonamento de processos
• Beneficiário: Rodrigo Fernandes de Mello
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Processo FAPESP: 09/15338-1 - Uma abordagem orientada a sistemas para otimização de escalonamento de processos em grades computacionais
• Beneficiário: Paulo Henrique Ribeiro Gabriel
• Modalidade de apoio: Bolsas no Brasil - Doutorado