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Decision Making in Internet Networks ab 59 € als Taschenbuch: Strategic and Operational Techniques and Tools for Intra-domain Traffic Engineering. Aus dem Bereich: Bücher, Wissenschaft, Technik,
Research in Internet measurement provides us with new ways to understand, operate and improve the Internet. Learning from network traffic data requires a well-chosen set of analysis techniques. In this book we delve into novel techniques and their application on large data sets to extend the choice of analysis schemes. In particular, we focus on traffic data at the network level that is readily available from commercial routers in the form of flow metadata (e.g. NetFlow) to enable analyzes of ever growing traffic volumes with low demands on the measurement infrastructure.This book consists of two major parts.In a first part, we explore a promising approach to study unsolicited traffic without the need to reserve unpopulated IP address ranges to this task, as has been done in the past. Our approach is to study one-way traffic, i.e., packets that never receive a reply in live networks. We introduce a novel scheme to classify one-way traffic at the flow level into interpretable classes. We validate this scheme based on a data set that we prepare using all informative details available from packet data (e.g. header and payload contents). We use our classifier to shed light on the composition of one-way traffic, and illustrate how the particular class of “Unreachable Services” can be used to passively detect network service outages by processing flow-level traffic data only. Moreover, to obtain a comprehensive view of one-way traffic, we conduct a large-scale study covering eight years of traffic data leading to new insights about the evolution of this exotic piece of traffic over time and space.In part two, we present novel visualization methods following the well-known adage 'A picture is worth a thousand words'. In particular, we tackle the problems of how to summarize data to extract the most relevant information from big data sets, and how to visualize this information in an easy interpretable way. We envision a top-down workflow that in a first step identifies probably hidden patterns in a data set captured from a potentially large network, followed by a second step that involves a closer inspection of the traffic of individual end systems or subnets. Specifically, we use frequent itemset mining to obtain a list of most relevant patterns from the traffic data of a network that we then visualize through hypergraphs. To drill down to traffic patterns of individual end systems we make use of a graph representation and a domain specific summarization scheme, which is based on the characteristics of typical host roles (e.g. client, server, P2P), to provide a quick overview of what roles an individual host assumes and what applications it runs. We demonstrate the usefulness of our approach by using proof-of-concept implementations in a number of illustrative case studies.
High Quality Content by WIKIPEDIA articles! Classless Inter-Domain Routing is a methodology of allocating IP addresses and routing Internet Protocol packets. It was introduced in 1993 to replace the prior addressing architecture of classful network design in the Internet with the goal to slow the growth of routing tables on routers across the Internet, and to help prevent the rapid exhaustion of IPv4 addresses. IP addresses are described as consisting of two groups of bits in the address: the most significant part is the network address which identifies a whole network or subnet and the least significant portion is the host identifier, which specifies a particular host interface on that network. This division is used as the basis of traffic routing between IP networks and for address allocation policies. Classful network design for IPv4 sized the network address as one or more 8-bit groups, resulting in the blocks of Class A, B, or C addresses. Classless Inter-Domain Routing allocates address space to Internet service providers and end users on any address bit boundary, instead of on 8-bit segments.
The issue of providing Quality of Service (QoS) in the Internet is becoming more and more important because of two phenomena: (1) the growth of value added services that require QoS (e.g., IPTV) and (2) network convergence towards a unified IP-based architecture, for voice, image and data services. In this context, the limitations of existing QoS technologies emerge: it is currently difficult for an operator to guarantee that its network can offer a specific level of service. Furthermore, it is very difficult to ensure a consistent treatment of end-to-end QoS-sensitive flow that cross networks controlled by several operators. Indeed, the control on such traffic flows is shared between all the traversed operators. In the thesis, we have studied these issues and, more specifically, routing and dynamic traffic engineering at inter-domain level. We have proposed several algorithms to compute paths subject to multiple performance constraints. Analytical studies and simulations show that our algorithms are efficient. Our work represents an important step towards more effective inter-domain traffic management in traffic engineered networks.
In present scenario due to the advent of e-business, high definition television (HDTV), online shopping and gaming, the internet traffic is increasing exponentially particularly in the access part of the optical network. In order to secure future, service providers have introduced fiber as a means of communication because of its high information carrying capacity, low cost and long reach. Next Generation Networks belong to Optical domain. Among various Hybrid optical networks, combination of hybrid Wave Division Multiplexing and Optical Time Division Multiplexing (WDM/OTDM) is backward compatible, which makes it the best candidate for next generation optical networks. By clubbing the features of WDM and OTDM, hybrid WDM/OTDM model has been designed that can satisfy the need of Next Generation Passive Optical Networks (NG PON) to a large extend.
The internet is on the way of becoming the principle means of telecommunication. The growing demand for better and reliable on-line services raises issues for managerial and strategic decision processes that often call for sound technical and theoretical solutions. For the last two decades, internet traffic engineering techniques prove to resolve these problems. In this book, we propose efficient mathematical techniques and software tools to solve some critical problems in internet networks. We have designed and developed three generic tools for intra-domain traffic engineering, which we have implemented in an open source software. This software can be downloaded, used and modified freely for general and customized network related purposes. We evaluate the performance of our methods and software using a range of problem instances, in which we demonstrate promising and fruitful results for better and more reliable management of internet networks. This book will be of interest to researchers and graduate students in the area of network optimization and to practitioners, such as internet service providers and large network administrators.