Open AccessRegressive Admission Control Enabled by Real-Time QOS Measurements
Author(s) -
Mirjami Jutila,
Jarmo Prokkola,
Despina Triantafyllidou
Publication year - 2013
Publication title -
international journal of computer networks and communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.159
H-Index - 8
eISSN - 0975-2293
pISSN - 0974-9322
DOI - 10.5121/ijcnc.2013.5602
Subject(s) - computer science , quality of service , real time computing , control (management) , admission control , computer network , artificial intelligence
We propose a novel regressive principle to Admission Control (AC) assisted by real-time passive QoSmonitoring. This measurement-based AC scheme acceptsflows by default, but based on the changes in thenetwork QoS, it makes regressive decisions on the possible flow rejection, thus bringing cognition tothenetwork path. TheREgressive Admission Control (REAC) system consists of three modules performing thenecessary tasks:QoS measurements, traffic identification, and the actual AC decision making and flowcontrol. There are two major advantages with this new scheme; (i) significant optimization of theconnection start-up phase, and (ii) continuous QoSknowledge of the accepted streams. In fact, the lattercombined with the REAC decisions can enable guaranteed QoS without requiring any QoS support fromthe network. REAC was tested on a video streaming test bed and proved to have a timely and realisticmatch between the network's QoS and the video quality