Load Reduction for Timely Applications in the Cloud

Research output: Contribution to journalArticlepeer-review

112 Downloads (Pure)


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.
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

Subject classification (UKÄ)

  • Communication Systems
  • Computer Systems


Dive into the research topics of 'Load Reduction for Timely Applications in the Cloud'. Together they form a unique fingerprint.

Cite this