A Feasibility Analysis of Network Traffic Forecast Based on Fractal Characteristics
نویسندگان
چکیده
Since fractal characteristics of network traffic were discovered by Leland in 1994, the literature is both well developed and skeptical about the value of traditional time series analysis on network data. In this paper, we investigate usability of traffic prediction based on fractal characteristics especially in the influence of assuming condition, model parameter with fractional predictors and burstiness behavior. Finally, some comments on prediction based fractal characteristics are given. Key-words: Traffic prediction; Fractional traffic model; Long-range dependence
منابع مشابه
Behavioral Analysis of Traffic Flow for an Effective Network Traffic Identification
Fast and accurate network traffic identification is becoming essential for network management, high quality of service control and early detection of network traffic abnormalities. Techniques based on statistical features of packet flows have recently become popular for network classification due to the limitations of traditional port and payload based methods. In this paper, we propose a metho...
متن کاملFeature Extraction to Identify Network Traffic with Considering Packet Loss Effects
There are huge petitions of network traffic coming from various applications on Internet. In dealing with this volume of network traffic, network management plays a crucial rule. Traffic classification is a basic technique which is used by Internet service providers (ISP) to manage network resources and to guarantee Internet security. In addition, growing bandwidth usage, at one hand, and limit...
متن کاملDetecting Bot Networks Based On HTTP And TLS Traffic Analysis
Abstract— Bot networks are a serious threat to cyber security, whose destructive behavior affects network performance directly. Detecting of infected HTTP communications is a big challenge because infected HTTP connections are clearly merged with other types of HTTP traffic. Cybercriminals prefer to use the web as a communication environment to launch application layer attacks and secretly enga...
متن کاملاستراتژیهای کوتاهترین مسیر در هدایت پویای وسیله نقلیه مبتنی بر معیار سطح سرویس- رویکرد الگوریتم ژنتیک ترکیبی
Dynamic route guidance system is an important section of intelligent transportation systems. The main core of this system is computation of shortest path based on the real-time information. In this research the formulation of dynamic guidance of vehicle has been presented based on characteristics of intelligent transportation systems and using the general level of service criteria which inclu...
متن کاملSequential forecast of incident duration using Artificial Neural Network models.
This study creates an adaptive procedure for sequential forecasting of incident duration. This adaptive procedure includes two adaptive Artificial Neural Network-based models as well as the data fusion techniques to forecast incident duration. Model A is used to forecast the duration time at the time of incident notification, while Model B provides multi-period updates of duration time after th...
متن کامل