Bandwidth gain analysis for HTTP and HTTPs traffic on IP based network

Abstract

This paper presented a bandwidth gain analysis on HTTP and HTTPs traffic in an IP Based network. A framework model to run the analysis has been setup which caters about 40 thousand concurrent users to the internet that included wired and wireless access users in a university. All traffic flow to one access Virtual Local area Network (VLAN) is configured. Five bandwidth collectors (BC) are setup in the running framework. Network traffic then is filtered according to the identified policies that are based on type of applications, protocols and rules. Two main policies rules are configured called the static object and customized object rules. Three main filtered content are also configured which are Integrated uniform resource locator (URL) and content filtering, instant message and point to point applications and the third filtered objects is web category. The objective of the traffic analysis is to observe the bandwidth gain in the network and manage the bandwidth used according to the prioritized applications needed. One hour and one day of internet traffic are collected to analyze the bandwidth used. Bandwidth gain then is presented for the five setup bandwidth collector. Results shows that the model framework helps to reduced the bandwidth utilization mainly on http and https traffic. An analysis on bandwidth gain and byte saved are presented in multiple times and percentage.

Blockchain-Based Network Optimization for Workstation Nodes

“…The main purpose of this study was to offer network/system administrators a clear answer or approach to some of the problems that insured institutions encounter in properly managing their bandwidth. M. Kasim et al [10] discuss network bandwidth management, which is one of the issues now facing computer engineering applications and systems. An in-depth analysis of published articles is provided in order to delve deeper into the IP-based network, which is an important field of study for network capacity control.…”

Optimization algorithms for the proactive configuration of elastic optical networks under jamming attacks and demand uncertainty

“…The assumption in this work is that the traffic demand is log-normally distributed (as it has been shown in [27,28] that the Internet traffic demand can be described by this distribution that exhibits skewness (asymmetric bandwidth demand) and long-tails (high expected-to peak-rate ratio)). It is also assumed that historical traffic demand information is available for several source-destination pairs (connections) and that each connection can be described by its own traffic demand distribution.…”

“…Several works in the literature [23]- [26] addressed precisely this problem, where authors examined several spectrum assignment policies for timevarying traffic that included spectrum reduction/expansion and re-allocation. This work examines the attack-aware RSA (Aa-RSA) problem when the traffic demand is stochastic and varies with time [27,28]. The objective is to minimize the interactions among lightpaths in order to minimize the crosstalk effect and thus minimize the impact of a jamming attack.…”

Analysis of Wireless Network Usage at Universiti Utara Malaysia

“…In general, bandwidth management is a process of implementing various techniques, technologies, tools and policies to control and measure the rate of data transmission in a network [3]. It is the amount of data that can be carried from one point to another in a given period (bits per second) that running on the network layer in allocating its resources to critical applications on a network [4]. Bandwidth management is needed for network capacity to improve the performance of Internet connectivity with the most efficient use of its bandwidth resources.…”

“…Bandwidth management is needed for network capacity to improve the performance of Internet connectivity with the most efficient use of its bandwidth resources. Otherwise, this unmanaged bandwidth will cause certain applications or users to take control of all available bandwidth and prevent others from using the network [4].…”