Artikel in Tagungsband INPROC-2014-44

Bibliograph.
Daten
Gůmez SŠez, Santiago; Andrikopoulos, Vasilios; Wessling, Florian; Cassales Marquezan, Clarissa: Cloud Adaptation & Application (Re-)Distribution: Bridging the two Perspectives.
In: Proceedings of the First International Workshop on Engineering Cloud Applications & Services (EnCASE 2014).
Universitšt Stuttgart, Fakultšt Informatik, Elektrotechnik und Informationstechnik.
S. 163-172, englisch.
IEEE Computer Society Press, 1. September 2014.
Artikel in Tagungsband (Workshop-Beitrag).
CR-Klassif.D.2.11 (Software Engineering Software Architectures)
C.2.4 (Distributed Systems)
Kurzfassung

Cloud developers have to make several decisions when running their application in a cloud environment that may lead to conflicting objectives, inefficient deployment, and inappropriate or not existing adaptation strategies. Proper decision-support tools and processes are therefore needed to make cloud developers aware of the issues that need to be considered when deploying and running applications in the Cloud. Current decision support tools for cloud developers do not provide a structured and organized process in which the cloud developers can systematically check their choices when planning the deployment, execution, and adaptation of applications in the Cloud. In this paper, we combine two previous works and introduce an approach for identifying the options for (re-)deploying application in cloud providers infrastructures and the possible strategies of adaptation that can be used by the deployed application at runtime. The key contribution is a support process that synthesizes the two approaches. We also describe a case study where our support process is applied and we indicate the alternatives for application (re-)deployment and adaptation.

KontaktSantiago Gůmez SŠez: santiago.gomez-saez@iaas.uni-stuttgart.de
Abteilung(en)Universitšt Stuttgart, Institut fŁr Architektur von Anwendungssystemen
Projekt(e)ALLOW Ensembles
CloudWave
Eingabedatum23. Juni 2014
   Publ. Institut   Publ. Informatik