, Volume 19, Issue 3, pp 231–235 | Cite as



“Low Latency for Cloud Data Management” von Felix Gessert, Universität Hamburg, December 2018

  • Gutachter:

  • Prof. Dr.-Ing. Norbert Ritter, Universität Hamburg

  • Prof. Dr. Stefan Deßloch, TU Kaiserslautern

  • Prof. Dr. Mathias Fischer, Universität Hamburg

With the rise of scalable, distributed web applications, latency has become a fundamental challenge for cloud data management. The delays caused by accessing data from cloud services often dominate the performance of web and mobile applications. While modern data management systems address the need for higher scalability and fault tolerance, low latency remains an open issue. How can low-latency queries and reads be enabled without sacrificing central data management abstractions such as consistency levels and transactional isolation?

In this thesis, we investigate caching in cloud data management for dynamic data ranging from database objects to complex query results. In the context of distributed systems, achieving reads that are both fast...

Copyright information

© Gesellschaft für Informatik e.V. and Springer-Verlag GmbH Germany, part of Springer Nature 2019

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