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Multiprocessor Task Programming and Flexible Load Balancing for Time-Stepping Methods on Heterogeneous Cloud Infrastructures

Title data

Rauber, Thomas ; Rünger, Gudula:
Multiprocessor Task Programming and Flexible Load Balancing for Time-Stepping Methods on Heterogeneous Cloud Infrastructures.
In: 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation. - Piscataway, NJ : IEEE , 2019 . - pp. 1537-1544
ISBN 978-1-7281-4034-6
DOI: https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00277

Abstract in another language

This article considers the execution of CSE applications on cloud infrastructures with heterogeneous hardware elements. For an efficient and reliable execution of long-running, time-consuming CSE applications, we pursue a programming model of multiprocessor-tasks (M-Tasks) which can be flexibly mapped onto the resources of the heterogeneous cloud infrastructure, thus supporting scalability. To capture the heterogeneity, we introduce variants of M-tasks and types for M-task as well as for hardware resources. Especially, we propose a two-stage procedure consisting of an offline mapping algorithm for typed M-tasks variants onto the typed hardware resources and an online execution protocol. The online execution protocol accompanies the actual execution by a monitoring of the execution time and the execution success as well as a bookkeeping for the successful and efficient execution of M-tasks. The approach is especially suited for time-stepping methods, since an adaptation of the execution strategy can be performed between time steps in case of failure or inefficient execution.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science II > Chair Applied Computer Science II - Univ.-Prof. Dr. Thomas Rauber
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 23 Oct 2020 09:50
Last Modified: 23 Oct 2020 09:50
URI: https://eref.uni-bayreuth.de/id/eprint/57915