Hierarchical Virtual Bitmaps for Spread Estimation in Traffic Measurement

This paper introduces a hierarchical traffic model for spread measurement of network traffic flows. The hierarchical model, which aggregates lower level flows into higher-level flows in a hierarchical structure, will allow us to measure network traffic at different granularities at once to support diverse traffic analysis from a grand view to fine-grained details. The spread of a flow is the number of distinct elements (under measurement) in the flow, where the flow label (that identifies packets belonging to the flow) and the elements (which are defined based on application need) can be found in packet headers or payload. Traditional flow spread estimators are designed without hierarchical traffic modeling in mind, and incur high overhead when they are applied to each level of the traffic hierarchy. In this paper, we propose a new Hierarchical Virtual bitmap Estimator (HVE) that performs simultaneous multi-level traffic measurement, at the same cost of a traditional estimator, without degrading measurement accuracy. We implement the proposed solution and perform experiments based on real traffic traces. The experimental results demonstrate that HVE improves measurement throughput by 43% to 155%, thanks to the reduction of perpacket processing overhead. For small to medium flows, its measurement accuracy is largely similar to traditional estimators that work at one level at a time. For large aggregate and base flows, its accuracy is better, with up to 97% smaller error in our experiments.

Structure for Synonymous Flow Label (SFL)

Because of the very high loss rate in general activity, enhancements in connection and transmission innovations have made it more difficult to evaluate packet loss utilizing dynamic execution estimation techniques with plotted traffic. That, along with seriously requesting administration level necessities, implies that network administrators currently should have the option to quantify the loss of the actual user data traffic utilizing inactive execution estimation strategies. Multiprotocol Label Switching (MPLS) strategy portrays the prerequisite for presenting stream characters inside the MPLS architecture. This paper depicts a strategy for achieving this by utilizing a method called Synonymous Flow Label (SFL) in which names that imitate the conduct of different labels give the recognizable proof assistance. These identifiers can be utilized to trigger per stream procedure on the packet at the receiving label switching router.

IPTV Improvement Approach over LTE-WLAN Heterogeneous Networks

IPTV (Internet Protocol Television) includes several video components. The IMS (IP Multimedia Subsystem) cannot differentiate between them what causes their treatment similarly. These sub-components must have different priorities because they have distinct QoS constraints. In this paper, we suggest the implementation of IPTV in a heterogeneous network that improved QoS by providing the capability to prioritize the sub traffic according to the system administrator policy. A new IPv6 flow label field definition was proposed that is ready for standardization. OPNET Modeler software is used to design our approached architecture. The results show that IPTV users receive different amounts of video data based on the stream's priority.