THE INFLUENCE OF EXASCALE ON RESOURCE DISCOVERY AND DEFINING AN INDICATOR

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Volume 1 (1), July 2018, Pages 3-19

Ehsan Mousavi Khaneghah¹, Araz R. Aliev², Ulphat Bakhishoff³, Elham Adibi¹

¹Department of Computer Engineering, Faculty of Engineering, Shahed University, Tehran, Iran, This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.
²High Performance Computing Research Advance Center, Department of General and Applied Mathematics, Azerbaijan State Oil and Industry University, Baku, Azerbaijan, This email address is being protected from spambots. You need JavaScript enabled to view it.
³ Department of General and Applied Mathematics, Azerbaijan State Oil and Industry University, Baku, Azerbaijan, ulfat.baxıThis email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

Resource discovery in distributed Exascale computing systems, in addition to managing events resulting in failures due to not finding the resource, as well as failure to perform resource discovery activities at the acceptable time, needs to be able to manage events resulting in failures due to dynamic and interactive nature as well. While investigating the concept of dynamic and interactive nature and its impact on RD functionality, this paper introduces a mathematical model of events resulting in RD failure in this type of computing systems based on descriptive spaces of RD activities. This mathematical model helps to analyze this issue that in what situations the dynamic and interactive nature would lead to the failure of RD and what capabilities RD should have to prevent the failure.

Keywords:

Distributed Exascale computing systems, Resource Discovery, Resource discovery failure, Resource discovery indicator.

DOI: https://doi.org/10.32010/26166127.2018.1.1.3.19

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