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Use of HPC-Techniques for Large-Scale Data Migration

  • Jan Dünnweber
  • Valentin Mihaylov
  • René Glettler
  • Volker Maiborn
  • Holger Wolff
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7155)

Abstract

Any re-design of a distributed legacy system requires a migration which involves numerous complex data replication and transformation steps. Migration procedures can become quite difficult and time-consuming, especially when the setup (i.e., the employed databases, encodings, formats etc.) of the legacy and the target system fundamentally differ, which is often the case with finance data, grown over decades. We report on experiences from a real-world project: the recent migration of a customer loyalty system from a COBOL-operated mainframe to a modern service-oriented architecture. In this context, we present our easy-to-adopt solution for running most replication steps in a high-performance manner: the QuickApply HPC-software which helps minimizing the replication time, and, thereby, the overall downtime of the migration. Business processes can be kept up and running most of the time, while pre-extracted data already pass a variety of platforms and representations toward the target system. We combine the advantages of traditional migration approaches: transformations, which require the interruption of business processes are performed with static data only, they can be made undone in case of a failure and terminate quickly, due to the use of parallel processing.

Keywords

Business Process Legacy System Target System Work Unit Loyalty Program 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jan Dünnweber
    • 1
  • Valentin Mihaylov
    • 1
  • René Glettler
    • 1
  • Volker Maiborn
    • 1
  • Holger Wolff
    • 1
  1. 1.MaibornWolff GmbHMünchenGermany

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