SwePub - search: WFRF:(Karić M.)

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1.	Martinović, G., et al. (author) Simulation and evaluation of multiple sporadic servers rescheduling 2015 In: IFAC-PapersOnLine. - : Elsevier BV. - 2405-8963. ; , s. 270-275 Conference paper (peer-reviewed)abstract This paper deals with task scheduling in heterogeneous distributed embedded computer environments of renewable and timing variable resources. Real-time application performance can be considerably influenced by unexpected events in the environment. The predictive-reactive rescheduling procedure can enable significant improvements. The rescheduling procedure based on multiple server tasks enables usage of one's own resources, but also a fast connection to nodes with appropriate performance that will soften the influence of disturbances. We developed a tool that enables simulation of application execution conditions for a given environment and extraction of better scheduling parameter settings. Numerous scheduling parameters are improved with an increase in the number of nodes available for rescheduling. We also investigate cost-effectiveness of the method based on rescheduling time cost. The results demonstrate a possibility of achieving performance improvement by tuning cost parameters.

Martinović, G., et al. (author)
Simulation and evaluation of multiple sporadic servers rescheduling
2015
In: IFAC-PapersOnLine. - : Elsevier BV. - 2405-8963. ; , s. 270-275
Conference paper (peer-reviewed)abstract
- This paper deals with task scheduling in heterogeneous distributed embedded computer environments of renewable and timing variable resources. Real-time application performance can be considerably influenced by unexpected events in the environment. The predictive-reactive rescheduling procedure can enable significant improvements. The rescheduling procedure based on multiple server tasks enables usage of one's own resources, but also a fast connection to nodes with appropriate performance that will soften the influence of disturbances. We developed a tool that enables simulation of application execution conditions for a given environment and extraction of better scheduling parameter settings. Numerous scheduling parameters are improved with an increase in the number of nodes available for rescheduling. We also investigate cost-effectiveness of the method based on rescheduling time cost. The results demonstrate a possibility of achieving performance improvement by tuning cost parameters.

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