Abstract
In this paper, we study the influence of performance prediction inaccuracy on task scheduling in grid environment from the context of task selection and processor selection, which are two critical phases in task scheduling. Formulas are established for the degree of misprediction, the probability that the predicted values for the performance of tasks and processors reveal different ordering characteristics from their real values. The impacts of different parameters on the degree of misprediction are also investigated extensively. Evaluation results show that an underestimate of performance can result in greater influence on task scheduling compared with an overestimate, while higher heterogeneity results in smaller influence.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
