As applied sciences researchers focusing on new digital application designs implemented and deployed with multiple computing paradigms, we emphasise the practical nature of our contributions and the direct transferability to stakeholders in industry and society. In this context, we are happy to report that two system demonstrations have been recently accepted to be presented at the 21st ACM/IFIP Middleware 2020 conference running from December 7-11 in «virtual Delft». Read on for details.
Many providers of hosted services, including cloud applications, are subject to a contradiction in handling log data. On the one hand, storing logs consumes resources and should be minimised or avoided altogether to save resource cost. On the other hand, regulatory constraints such as keeping the data for the purpose of future audits exist. A smart solution to encode the data appropriately needs to be found. The coding encompasses both compression, to keep resource use low, and encryption, to prevent leaking information to unauthorised parties, for instance when logging for the purpose of intrusion detection. On an algorithmic level, the encoded data should still be usable for computation, in particular comparison and search. In this blog post, based on the didactic log example shown in the figure below, we present algorithms and architectures to handle cloud log files in a smart way.