Load Reduction for Timely Applications in the Cloud

Research output: Contribution to journalArticle


In many IoT applications, sensor data is sent remotely to be processed, but only the freshest result is of interest. In this paper we investigate a feedback mechanism that aborts the processing of stale data at the remote end to reduce the load and save costs. The process is approximated by an M/M/∞ queueing system with a feedback loop. We find the exact expression of the average computational time saved and show that with the feedback loop in place the computation time per CPU can be cut up to 25%, making the technique very promising.


Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Communication Systems
  • Computer Systems


Translated title of the contributionLast reducering for tidskänsliga tillämpningar i molntjänster
Original languageEnglish
Pages (from-to)142-146
Number of pages5
JournalIEEE Networking Letters
Issue number3
Early online date2021
Publication statusPublished - 2021
Publication categoryResearch

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Related research output

Antonio Franco, Björn Landfeldt & Ulf Körner, 2020 Aug 3, In: Computer Communications. 161, p. 191-201 11 p.

Research output: Contribution to journalArticle

Antonio Franco, Emma Fitzgerald, Björn Landfeldt & Ulf Körner, 2020, International Performance Computing and Communications Conference. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 8 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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