A Tractable Stochastic Model of Correlated Link Failures Caused by Disasters

In order to evaluate the expected availability of a service, a network administrator should consider all possible failure scenarios under the specific service availability model stipulated in the corresponding service-level agreement. Given the increase in natural disasters and malicious attacks with geographically extensive impact, considering only independent single link failures is often insufficient. In this paper, we build a stochastic model of geographically correlated link failures caused by disasters, in order to estimate the hazards a network may be prone to, and to understand the complex correlation between possible link failures. With such a model, one can quickly extract information, such as the probability of an arbitrary set of links to fail simultaneously, the probability of two nodes to be disconnected, the probability of a path to survive a failure, etc. Furthermore, we introduce a pre-computation process, which enables us to succinctly represent the joint probability distribution of link failures. In particular, we generate, in polynomial time, a quasilinear-sized data structure, with which the joint failure probability of any set of links can be computed efficiently.Embedded and Networked System

Probabilistic Shared Risk Link Groups Modeling Correlated Resource Failures Caused by Disasters

To evaluate the expected availability of a backbone network service, the administrator should consider all possible failure scenarios under the specific service availability model stipulated in the corresponding service-level agreement. Given the increase in natural disasters and malicious attacks with geographically extensive impact, considering only independent single component failures is often insufficient. This paper builds a stochastic model of geographically correlated link failures caused by disasters to estimate the hazards an optical backbone network may be prone to and to understand the complex correlation between possible link failures. We first consider link failures only and later extend our model also to capture node failures. With such a model, one can quickly extract essential information such as the probability of an arbitrary set of network resources to fail simultaneously, the probability of two nodes to be disconnected, the probability of a path to survive a disaster. Furthermore, we introduce standard data structures and a unified terminology on Probabilistic Shared Risk Link Groups (PSRLGs), along with a pre-computation process, which represents the failure probability of a set of resources succinctly. In particular, we generate a quasilinear-sized data structure in polynomial time, which allows the efficient computation of the cumulative failure probability of any set of network elements. Our evaluation is based on carefully pre-processed seismic hazard data matched to real-world optical backbone network topologies.Accepted author manuscriptEmbedded and Networked System

Rounding in e-approximation algorithms

A common approach to deal with NP-hard problems is to deploy polymonial-time e-approximation algorithms often resort to rounding and scaling to guarantee a solution that is within a factor ( 1+ypsilon) of the optimal solution. Usually, researchers either only round up or only down. In this paper we will evaluate the gian in accuracy when rounding up and down. The main application of this technique upon which we focus is Quality Service routing and specifically the Restricted Shortest Path Problem.Network Architectures and Service

Quality of Service Routing in the Internet. Theory, Complexity and Algorithms

The Internet consists of many network elements that direct packets on the correct path leading towards the destination. This process of finding and following a path to the destination is called routing. Routing is not infallible and packets may get lost: the current Internet cannot give any quality guarantees regarding the packets it transports. However, many new multi-media applications (e.g., VoIP) cannot properly operate without such guarantees. Finding paths that can meet such demands is called Quality of Service (QoS) routing. This thesis identifies several algorithmic concepts of QoS routing, which are all incorporated into our exact SAMCRA algorithm. The first large-scale performance evaluation of QoS algorithms indicates that the SAMCRA algorithm performs best. Besides SAMCRA, also algorithms for multicast QoS routing and link-disjoint QoS routing are proposed in this thesis. QoS routing is NP-complete, which means that to find the exact solution, algorithms require, in the worst case, a running time that cannot be bounded by a polynomial function. This thesis also analyzes the complexity of QoS routing and argues that it is feasible in practice. Hence, exact algorithms like SAMCRA should be used instead of heuristics. Finally, the dynamics of QoS routing are discussed and some preliminary work in this area is provided. Here, too, SAMCRA outperformed the other implemented algorithms.Electrical Engineering, Mathematics and Computer Scienc

Rounding in \u80-approximation algorithms

Electrical Engineering, Mathematics and Computer Scienc

An Overview of Algorithms for Network Survivability

Network survivability—the ability to maintain operation when one or a few network components fail—is indispensable for present-day networks. In this paper, we characterize three main components in establishing network survivability for an existing network, namely, (1) determining network connectivity, (2) augmenting the network, and (3) finding disjoint paths.We present a concise overview of network survivability algorithms, where we focus on presenting a few polynomial-time algorithms that could be implemented by practitioners and give references to more involved algorithms.Network Architectures and ServicesElectrical Engineering, Mathematics and Computer Scienc

Impairment-aware routing in translucent spectrum-sliced elastic optical path networks

Network Architectures and Service

All quiet on the Internet front?

Network Architectures and Service

SDN and Virtualization Solutions for the Internet of Things: A Survey

The imminent arrival of the Internet of Things (IoT), which consists of a vast number of devices with heterogeneous characteristics, means that future networks need a new architecture to accommodate the expected increase in data generation. Software defined networking (SDN) and network virtualization (NV) are two technologies that promise to cost-effectively provide the scale and versatility necessary for IoT services. In this paper, we survey the state of the art on the application of SDN and NV to IoT. To the best of our knowledge, we are the first to provide a comprehensive description of every possible IoT implementation aspect for the two technologies. We start by outlining the ways of combining SDN and NV. Subsequently, we present how the two technologies can be used in the mobile and cellular context, with emphasis on forthcoming 5G networks. Afterward, we move to the study of wireless sensor networks, arguably the current foremost example of an IoT network. Finally, we review some general SDN-NV-enabled IoT architectures, along with real-life deployments and use-cases. We conclude by giving directions for future research on this topic.Network Architectures and Service

Path selection in multi-layer networks

Network Architectures and Service