Paper Info
Title
Enabling Scalability, Adaptivity, and Resilience in Cloud Applications by Software-defined M-Task-based Programming
Abstract
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.
Year
DOI
Venue
2019
10.1109/SDS.2019.8768599
2019 Sixth International Conference on Software Defined Systems (SDS)
Keywords
Field
DocType
scalability,adaptivity,resilience,fault tolerance,M-task programming
Business information,Accounting information system,Task analysis,Verification and validation,Software engineering,Computer science,Software,Software development,Cloud computing,Scalability
Conference
ISBN
Citations 
PageRank 
978-1-7281-0723-3
0
0.34
References 
Authors
26
2
Name
Order
Citations
PageRank
Thomas Rauber141564.60
Gudula Rünger260890.35