Artikel in Zeitschrift ART-2014-11

Bibliograph.
Daten
Strauch, Steve; Andrikopoulos, Vasilios; Karastoyanova, Dimka; Leymann, Frank; Nachev, Nikolay; Staebler, Albrecht: Migrating Enterprise Applications to the Cloud: Methodology and Evaluation.
In: International Journal of Big Data Intelligence. Vol. 1(3).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 127-140, englisch.
Perpetual Innovation Media Pvt. Ltd., Dezember 2014.
Artikel in Zeitschrift.
CR-Klassif.C.2.4 (Distributed Systems)
C.4 (Performance of Systems)
D.2.8 (Software Engineering Metrics)
D.2.11 (Software Engineering Software Architectures)
H.2.1 (Database Management Logical Design)
H.2.4 (Database Management Systems)
H.3.4 (Information Storage and Retrieval Systems and Software)
H.4.2 (Information Systems Applications Types of Systems)
KeywordsData Migration; Decision Support; Database layer; Application Refactoring
Kurzfassung

Migrating existing on-premise applications to the cloud is a complex and multi-dimensional task and may require adapting the applications themselves significantly. For example, when considering the migration of the database layer of an application, which provides data persistence and manipulation capabilities, it is necessary to address aspects like differences in the granularity of interactions and data confidentiality, and to enable the interaction of the application with remote data sources. In this work, we present a methodology for application migration to the cloud that takes these aspects into account. In addition, we also introduce a tool for decision support, application refactoring and data migration that assists application developers in realising this methodology. We evaluate the proposed methodology and enabling tool using a case study in collaboration with an IT enterprise.

CopyrightInderscience Enterprises Ltd.
KontaktSteve Strauch
Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)4CaaSt
ALLOW Ensembles
ECHO
Eingabedatum28. November 2014
   Publ. Informatik