IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference 2007
DOI: 10.1109/glocom.2007.513
|View full text |Cite
|
Sign up to set email alerts
|

Robust Load Balancing

Abstract: We study the problem of balancing the traffic load in a network by route selection. The traditional approach starts from a given traffic matrix. However, as the traffic matrix is seldom available, estimated traffic matrices have to be used. Thus, the solution of the load balancing algorithm is not optimal due to errors in traffic matrix estimate. In order to overcome this, we present two variations of a robust load balancing scheme. One where no knowledge of the traffic matrix is needed, and a novel variant of… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
10
0

Year Published

2009
2009
2015
2015

Publication Types

Select...
3
2
1

Relationship

0
6

Authors

Journals

citations
Cited by 14 publications
(10 citation statements)
references
References 13 publications
0
10
0
Order By: Relevance
“…The last category of algorithms consists of Robust Routing techniques [8]- [12]. The objective in RR is to find a unique static routing configuration that fulfills a certain criterion for a broad set of traffic demands, generally the one that minimizes the maximum link utilization over the whole set of demands.…”
Section: A Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…The last category of algorithms consists of Robust Routing techniques [8]- [12]. The objective in RR is to find a unique static routing configuration that fulfills a certain criterion for a broad set of traffic demands, generally the one that minimizes the maximum link utilization over the whole set of demands.…”
Section: A Related Workmentioning
confidence: 99%
“…Oblivious Routing [9] also defines linear algorithms to optimize worst-case MLU for different sizes of traffic uncertainty sets. [12] analyses the use of robust routing through a combination of traffic estimation techniques and its corresponding estimation error bounds, in order to shrink the set of traffic demands. In [11] authors introduce COPE, a RR mechanisms that optimizes routing for predicted demands and bounds worst-case MLU to ensure acceptable efficiency under unexpected traffic events.…”
Section: A Related Workmentioning
confidence: 99%
“…[6]. In this method, we calculate the range of possible traffic amount by using the traffic amount on each link.…”
Section: Introductionmentioning
confidence: 99%
“…To reduce the amount of information required by the TE, several TE methods using only the information of traffic amount on each link have been proposed [3][4][5][6]. The methods proposed by Refs.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation