Browsing by Author "Bachmann, Thomas"

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    Comparison of composition engines and identification of shortcomings with respect to cloud computing
    (2012) Bachmann, Thomas; Bialy, Lukasz; Babu, Anand
    Most workflow engines are currently not Cloud-aware. This is due to multiple reasons like no support for transparent scalability, no multi-tenancy support, no ability to store process related data in a Cloud storage, or no support for quality of service enforcements. Recently Cloud based workflow services appeared in the workflow landscape and promise to run workflows in the Cloud. This student reports evaluates current state of the art BPEL and BPMN workflow engines and Cloud based workflow services according to their Cloud- awareness and general workflow functionalities. Identified shortcomings are described and prioritized. As a result of this evaluation the workflow engine WSO2 Stratos is best suited for running workflows in the Cloud, but it lacks native clustering support and quality of service enforcement.
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    Entwicklung einer Methodik für die Migration der Datenbankschicht in die Cloud
    (2012) Bachmann, Thomas
    This diploma thesis identifies different Cloud data migration scenarios like outsourcing, replication, data synchronization, backup, archiving, scalability enhancement, Cloud burst, sharding or data import and puts them into a generic Cloud data migration methodology that includes all mentioned scenarios. Next to relational database management systems this methodology also supports NoSQL data stores, BLOB stores and content delivery networks. Using the generic methodology a Cloud data migration tool was developed which supports the decision process of selecting a Cloud data store and helps refactoring the application architecture by suggesting Cloud data patterns and potential adaptions of the network, data access and application layer. Finally the migration tool is able to copy data from a source system like MySQL server to a target system like Amazon RDS (MySQL, SQL Server, and Oracle), Azure SQL Database and Amazon SimpleDB.