This reasearch studies ACO algorithms for the switch engine scheduling in a Railroad Yard. The cars are moved individually or grouped into blocks by a set of locomotives called switch engines which are dedicated to moving around the cars in the yard. The need for moving comes from the fact that the arriving trains are disassembled into blocks of cars, undergo some operations like, loading , unl...

Dynamic pricing models for network traffic often aim at deriving some relation between charges and current utilization of the network. This paper deals with such a price function that is a by-product of Kelly’s bound for the loss rate in highly connected networks and shows how the Refined Uniform Asymptotic Approximation RUAA, developed by Mitra et al., can be used to generalize the original ap...

Seasonal ARIMA model is a good traffic model capable of capturing the behavior of a network traffic stream. In this paper, we give a general expression of seasonal ARIMA models with two periodicities and provide procedures to model and to predict traffic using seasonal ARIMA models. The experiments conducted in our feasibility study showed that seasonal ARIMA models can be used to model and pre...

As network traffic is dramatically increasing due to the popularization of Internet, the need for application traffic classification becomes important for the effective use of network resources. In this paper, we present an application traffic classification method based on fixed IP-port information. A fixed IP-port is a {IP, protocol, port} triple dedicated to only one application, which is au...

As the major problem of urban and developed cities is spreading of traffic congestion day by day. For which, there is a pressing need of advanced technology to provide reliable results with improvement of the state of the art of traffic control mechanism. As on date, Traffic problems are increasing with a higher rate around the world because of the number of vehicles are increasing by leaps and...

In this work we present and evaluate different automated combination techniques for traffic classification. We consider six intelligent combination algorithms applied to both traditional andmore recent traffic classification techniques using either packet content or statistical properties of flows. Preliminary results show that, when selecting complementary classifiers, some combination algorit...

In this paper we will analyze the relations between outbound email and inbound email traffic. We consider outbound traffic being sending email using the SMTP and inbound traffic being receiving or retrieving email using POP or IMAP. IMAP appears to be less used than POP. In corporate networks it is likely to have more SMTP than POP/IMAP traffic and in residential networks the situation is rever...

Network traffic anomalies detection and characterization has been a hot topic of research for many years. Although the field is very advanced in the detection of network traffic anomalies, accurate automated classification is still a very challenging and unmet problem. This paper presents a new algorithm for automated classification of network traffic anomalies. The algorithm relies on three st...

The IP network engineering, management and control are highly benefited by Network traffic classification and application identifi¬cation. There are many popular methods available namely port-based and payload-based but they have shown some disadvantages, and the machine learning based method is a potential one. Unsupervised learning deals with a class of problems in which one seeks to determin...

Prashant Sharma*, V M S R Murthy** Avinash Paul***& Ajoy Kr Singh*** *3 year Student, Bachelor of Technology in Mining Engineering, Indian School of Mines, Dhanbad826 015, India Contact No. +918092633969, +918871601404; Email: [email protected] **Professor, Mining Engineering Department, Indian School of Mines, Dhanbad826 015, India ***Scientist, Central Institute of Mining and Fuel...