
doi: 10.1109/lcn.2007.154 , 10.1109/lcn.2007.110 , 10.1109/lcn.2007.93 , 10.1109/lcn.2007.23 , 10.1109/lcn.2007.58 , 10.1109/lcn.2007.39 , 10.1109/lcn.2007.119 , 10.1109/lcn.2007.68 , 10.1109/lcn.2007.5 , 10.1109/lcn.2007.85 , 10.1109/lcn.2007.133 , 10.1109/lcn.2007.149 , 10.1109/lcn.2007.17 , 10.1109/lcn.2007.44 , 10.1109/lcn.2007.66 , 10.1109/lcn.2007.77 , 10.1109/lcn.2007.86 , 10.1109/lcn.2007.157 , 10.1109/lcn.2007.138 , 10.1109/lcn.2007.42 , 10.1109/lcn.2007.49 , 10.1109/lcn.2007.60 , 10.1109/lcn.2007.108 , 10.1109/lcn.2007.70 , 10.1093/ietcom/e91-b.12.3831 , 10.1109/lcn.2007.38 , 10.1109/lcn.2007.40 , 10.1109/lcn.2007.84 , 10.1109/lcn.2007.100 , 10.1109/lcn.2007.47
handle: 10054/1673
doi: 10.1109/lcn.2007.154 , 10.1109/lcn.2007.110 , 10.1109/lcn.2007.93 , 10.1109/lcn.2007.23 , 10.1109/lcn.2007.58 , 10.1109/lcn.2007.39 , 10.1109/lcn.2007.119 , 10.1109/lcn.2007.68 , 10.1109/lcn.2007.5 , 10.1109/lcn.2007.85 , 10.1109/lcn.2007.133 , 10.1109/lcn.2007.149 , 10.1109/lcn.2007.17 , 10.1109/lcn.2007.44 , 10.1109/lcn.2007.66 , 10.1109/lcn.2007.77 , 10.1109/lcn.2007.86 , 10.1109/lcn.2007.157 , 10.1109/lcn.2007.138 , 10.1109/lcn.2007.42 , 10.1109/lcn.2007.49 , 10.1109/lcn.2007.60 , 10.1109/lcn.2007.108 , 10.1109/lcn.2007.70 , 10.1093/ietcom/e91-b.12.3831 , 10.1109/lcn.2007.38 , 10.1109/lcn.2007.40 , 10.1109/lcn.2007.84 , 10.1109/lcn.2007.100 , 10.1109/lcn.2007.47
handle: 10054/1673
For over a decade researchers have been reporting the impact of self-similar long-range dependent network traffic. Long-range dependence (LRD) is of great significance in traffic engineering problems such as measurement, queuing strategy, buffer sizing and admission and congestion control. In this research, in order to determine the existence of LRD, we apply three different robust versions of the autocorrelation function (ACF), namely weighted ACF (WACF), trimmed ACF (TACF) and variance-ratio of differences and sums, known as the D/S variance estimator (DACF), in conjunction with the sample ACF (which is moment based). Here we define the moment based ACF as MACF. In telecommunications, LRD traffic defines that a similar pattern of traffic persists for a longer span of time. Through ACF, it is possible to detect how long the traffic lasts. The aim of this research is to investigate the performance of ACF in identifying the existence of LRD traffic.
WiMax, Computer and Systems Architecture, Hardware Systems, VoD, Wireless mesh networks, 535, Digital Arithmetic, Cross-layer design, Bloom Filter, 333, CAES-PS: Pervasive Systems, Hurst parameter, Systems and Communications, METIS-242208, Tail Index, Integrated Circuit, Digital Communications and Networking, Integrated Optics, Digital Integrated Circuit, Optical Fibre Networks, Integrated Optoelectronic, Algorithm, Self-similarity, LRD, Simulation, info:eu-repo/classification/ddc/004, EWI-11316, IR-64436
WiMax, Computer and Systems Architecture, Hardware Systems, VoD, Wireless mesh networks, 535, Digital Arithmetic, Cross-layer design, Bloom Filter, 333, CAES-PS: Pervasive Systems, Hurst parameter, Systems and Communications, METIS-242208, Tail Index, Integrated Circuit, Digital Communications and Networking, Integrated Optics, Digital Integrated Circuit, Optical Fibre Networks, Integrated Optoelectronic, Algorithm, Self-similarity, LRD, Simulation, info:eu-repo/classification/ddc/004, EWI-11316, IR-64436
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 322 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
