@inproceedings {25373,
	title = {Evaluating CAIA Delay Gradient as a Candidate for Deadline-Aware Less-than-Best-Effort Transport},
	journal = {Workshop on Future of Internet Transport (FIT 2017)},
	year = {2017},
	publisher = {IFIP},
	abstract = {Less-than-best-effort (LBE) congestion control offers a low-priority service for applications tolerant to high latency and low throughput, like peer-to-peer file transfers or automatic software updates. There are, however, situations where it would be beneficial for the application to specify a soft deadline for task completion. Examples of such situations could be completion of backup tasks or synchronisation between CDN data centres. Since network conditions change over time, a deadline-aware LBE (DA-LBE) congestion control would need the ability to dynamically adapt how aggressively it competes for capacity to meet the soft deadline, trading low-priority behaviour for timeliness. One candidate that shows promise as a LBE congestion control is CAIA Delay Gradient (CDG). CDG uses changes in measured end-to-end delay to control the congestion window. CDG has several parameters that might help tune its {\textquotedblleft}aggressiveness{\textquotedblright} in a way that might help achieve the goal of DA-LBE congestion control. We have evaluated CDG in order to establish how it can be tuned to exhibit different degrees of LBE behaviour under varying network conditions. Our results show that it is possible to control CDG to vary its aggressiveness in a consistent way, making it a prime candidate to implement a DA-LBE congestion control system.},
	keywords = {congestion control, deadline-aware congestion control, Less-than-Best-Effort Service, scavenger service},
	isbn = {978-3-901882-94-4},
	doi = {10.23919/IFIPNetworking.2017.8264882},
	url = {http://dl.ifip.org/db/conf/networking/networking2017/1570350870.pdf},
	author = {Tor Christian {Tangenes} and David Andrew {Hayes} and Petlund, Andreas and Ros, David}
}
@inproceedings {23555,
	title = {Eclipse: A New Dynamic Delay-based Congestion Control Algorithm for Background Traffic},
	journal = {18th International Conference on Network-Based Information Systems (NBiS)},
	year = {2015},
	month = {09/2015},
	abstract = {Initially, the Internet transport protocol TCP has been designed to provide a "best effort" service: it is meant to share the network resources with other users and applications. However, there is nowadays also a growing demand for transmitting big amounts of data in the background, namely background transport that uses spare capacity, but with minimal effect on other traffic. For instance, systems can proactively download content that the user/system would need in the future (e.g. update packages, video files, etc.). Efforts have therefore been made in the IETF for the sake of such a service with Low Extra Delay Background Traffic (LEDBAT) congestion control. While LEDBAT works in some cases, there are however known situations where it causes serious performance problems, particularly in combination with the ubiquitous bufferbloat for example in current broadband networks.

In this paper, we analyse the issues of LEDBAT and propose a new approach for background traffic. Inspired by an astronomical event, we have named this approach Eclipse. Unlike LEDBAT, Eclipse can dynamically adapt to the network characteristics not only to minimise the additional network delay but also to maximise the utilisation of spare network capacity. We will show the usefulness of Eclipse by simulations.},
	keywords = {Background Traffic, congestion control, Delay-based Congestion Control, Less-than-Best-Effort Service},
	author = {Adhari, Hakim},
	editor = {Dreibholz, Thomas}
}
