Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Load Reduction for Timely Applications in the Cloud

Franco, Antonio LU ; Landfeldt, Björn LU ; Körner, Ulf LU and Nyberg, Christian LU (2021) In IEEE Networking Letters 3(3). p.142-146
Abstract
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.
Abstract (Swedish)
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/$\infty$ 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.
Please use this url to cite or link to this publication:
author
; ; and
organization
alternative title
Last reducering for tidskänsliga tillämpningar i molntjänster
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Köteori, molntjänster
in
IEEE Networking Letters
volume
3
issue
3
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85209457053
ISSN
2576-3156
DOI
10.1109/LNET.2021.3085115
project
ELLIIT LU P01: WP2 Networking solutions
language
English
LU publication?
yes
id
e0ee946b-7e9e-4480-980d-3e3457b2a1ab
date added to LUP
2021-06-02 08:19:15
date last changed
2024-12-26 04:02:54
@article{e0ee946b-7e9e-4480-980d-3e3457b2a1ab,
  abstract     = {{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.}},
  author       = {{Franco, Antonio and Landfeldt, Björn and Körner, Ulf and Nyberg, Christian}},
  issn         = {{2576-3156}},
  keywords     = {{Köteori, molntjänster}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{142--146}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Networking Letters}},
  title        = {{Load Reduction for Timely Applications in the Cloud}},
  url          = {{https://lup.lub.lu.se/search/files/98551752/paper.pdf}},
  doi          = {{10.1109/LNET.2021.3085115}},
  volume       = {{3}},
  year         = {{2021}},
}