2008 6th International Symposium on Communication Systems, Networks and Digital Signal Processing 2008
DOI: 10.1109/csndsp.2008.4610800
|View full text |Cite
|
Sign up to set email alerts
|

Modelling of systems with overflow multi-rate traffic and finite number of traffic sources

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
11
0

Year Published

2014
2014
2017
2017

Publication Types

Select...
3
2
1

Relationship

2
4

Authors

Journals

citations
Cited by 12 publications
(11 citation statements)
references
References 7 publications
0
11
0
Order By: Relevance
“…Unlike in modelling methods that use Hayward's approach [8], [9], [13], in the convolution algorithm the capacities of both groups remain the same and are not modified, and the same applies to the number of demanded BBUs by a single call. The occupancy distributions…”
Section: B Division Of the System Into Subsystemsmentioning
confidence: 99%
See 3 more Smart Citations
“…Unlike in modelling methods that use Hayward's approach [8], [9], [13], in the convolution algorithm the capacities of both groups remain the same and are not modified, and the same applies to the number of demanded BBUs by a single call. The occupancy distributions…”
Section: B Division Of the System Into Subsystemsmentioning
confidence: 99%
“…The majority of reference works devoted to modelling of systems with traffic overflow, both single-service and multiservice, assumes that the call stream offered to primary resources is distributed to according to the Poisson distribution or binomial distribution [4]- [9]. The variety of offered network services currently available makes the formerly adopted assumptions, however, insufficient for a precise description of call streams generated in packet networks.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The author of [28] attempts to approach the problem of modelling resources with overflow traffic with the assumption of hyperexponential service time, whereas single-service systems with overflow traffic generated by a finite number of traffic sources (pure chance traffic of type 2 (PCT2) (pure chance traffic of type 2 (PCT2); the traffic generated by a finite number of sources. Each idle source has its own arrival rate and the total arrival rate is proportional to the number of simultaneous idle sources) traffic [23]) are considered in, for example, [29][30][31].…”
Section: Modelling Of Single-service Systems With Traffic Overflowmentioning
confidence: 99%