You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact

Adaptive Online Feedback Controlled Message Compression

Research group:

Publication Type:

Conference/Workshop Paper


The 38th Annual International Computers, Software & Applications Conference


Communication is a vital part of computer systems today. One current problem is that computational capacity is growing faster than the bandwidth of interconnected computers. Maximising performance is a key objective for industries, both on new and existing software systems, which further extends the need for more powerful systems at the cost of additional communication. Our contribution is to let the system selectively choose the best compression algorithm from a set of available algorithms if it provides a better overall system performance. The online selection mechanism can adapt to a changing environment such as temporary network congestion or a change of message content while still selecting the optimal algorithm. Additionally, is autonomous and does not require any human intervention making it suitable for large-scale systems.We have implemented and evaluated this autonomous selection and compression mechanism in an initial trial situation as a proof of concept. The message round trip time were decreased by 7.1%, while still providing ample computational resources for other co-existing services.


author = {Marcus J{\"a}gemar and Sigrid Eldh and Andreas Ermedahl and Bj{\"o}rn Lisper},
title = {Adaptive Online Feedback Controlled Message Compression},
month = {July},
year = {2014},
booktitle = {The 38th Annual International Computers, Software {\&} Applications Conference},
url = {}