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Enabling Scalability, Adaptivity, and Resilience in Cloud Applications by Software-defined M-Task-based Programming

Title data

Rauber, Thomas ; Rünger, Gudula:
Enabling Scalability, Adaptivity, and Resilience in Cloud Applications by Software-defined M-Task-based Programming.
In: 2019 Sixth International Conference on Software Defined Systems (SDS). - Piscataway, NJ : IEEE , 2019 . - pp. 88-95
ISBN 978-1-7281-0722-6
DOI: https://doi.org/10.1109/SDS.2019.8768599

Abstract in another language

Software implementing computational science and engineering applications to be executed in cloud environments becomes increasingly complex so that issues considered in software engineering, such as design, validation and verification, and maintenance are more and more important. However, there are additional challenges to be considered, including scalability, resilience, and adaptivity to the underlying cloud structure, which have not been considered in classical software engineering, since they play a less significant role in software areas such as business information or accounting systems. In this article, we pursue the use of an M-task based software development and discuss how the specific challenges for cloud environments can be implemented through software-defined principles. The M-task-based approach has also the advantage that it supports systematic and extendable software development, thus also addressing issues of classical software engineering.

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 10:01
Last Modified: 23 Oct 2020 10:01
URI: https://eref.uni-bayreuth.de/id/eprint/57917