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Articles 18181 - 18210 of 25650

Full-Text Articles in Computer Engineering

Navigation & Control Of An Automated Swath Surface Vessel For Bathymetric Mapping, Ketan Rasal Jan 2013

Navigation & Control Of An Automated Swath Surface Vessel For Bathymetric Mapping, Ketan Rasal

Mechanical Engineering Master's Theses

With the abundant amount of water on the earth, the study of underwater terrain plays an important role in the use and sustainability of marine resources. A wide variety of technical systems are used to collect such bathymetric data, and autonomous vehicles are being explored as a manner in which to make this process more cost-effective. Students in Santa Clara University's Robotic Systems Laboratory are contributing to this effort through the development of an autonomous SWATH boat that can create such maps. As part of this thesis work, the navigation and control system of this SWATH boat has been significantly …

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Dependence On Cyberscribes - Issues In E-Security, Thomas R. Mclean, Alexander B. Mclean Jan 2013

Dependence On Cyberscribes - Issues In E-Security, Thomas R. Mclean, Alexander B. Mclean

Journal of Business & Technology Law

No abstract provided.

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Examining Student Participation In Three Learning Activities Supported By Social Annotation Tools, Tian Luo, Fei Gao, Kathryn S. Hoff Jan 2013

Examining Student Participation In Three Learning Activities Supported By Social Annotation Tools, Tian Luo, Fei Gao, Kathryn S. Hoff

Visual Communications and Technology Education Faculty Publications

Social annotation (SA) allows learners to highlight and comment on Web pages and share annotations with each other online. Despite its potential in promoting collaborative learning, examining how to integrate it into educational settings has not been fully studied. The purpose of the study is to examine student participation in three different SA-based online activities: (1) peer review, (2) annotated discussion, and (3) collaborative reading. Students participated in all three SA-based activities and took a survey at the end reporting the effectiveness of these activities. The analysis of students’ annotations and their survey responses suggested that although participants perceived the …

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Xing-Zone Bridge Construction For Multi-Hop Cognitive Radio Networks With Channel Bonding, Feng Ye, Yi Qian, Yaoqing Lamar Yang, Hamid Sharif Jan 2013

Xing-Zone Bridge Construction For Multi-Hop Cognitive Radio Networks With Channel Bonding, Feng Ye, Yi Qian, Yaoqing Lamar Yang, Hamid Sharif

Department of Electrical and Computer Engineering: Faculty Publications

Cognitive radio is an efficient technique to relieve the tense of wireless spectrum scarcity by allowing unlicensed secondary users (SUs) to access the licensed band opportunistically without causing interference to primary users (PUs). Although Federal Communications Commission (FCC) recently ruled that the data of PU activity schedule is accessible to SUs 24 hours ahead, which relieves SUs from heavy sensing or interruption by sudden PU activity, however, multi-hop wireless cognitive radio networks (MWCRN) suffers a unique problem caused by the fact that the spectrum resources are not unified in different areas affected by different PUs. In other words, an SU …

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A Hierarchical Power Management Strategy For Multiple Single-Phase Roadway Microgrids, Yanping Jiao, Wei Qiao Jan 2013

A Hierarchical Power Management Strategy For Multiple Single-Phase Roadway Microgrids, Yanping Jiao, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

This paper proposes a centralized hierarchical power management strategy for multiple single-phase wind/solar generation-based roadway microgrids integrated into a threephase utility distribution grid. The proposed power management strategy consists of a Central Power Management Controller (CPMC) operating at the distribution grid level to regulate the power flow between the distribution grid and the microgrids, a Supervisory Power Management Controller (SPMC) operating at the microgrid level for voltage and frequency control of each microgrid under the coordination of the CPMC, and a Local Power Management Controller operating at the unit level for power management of each individual unit under the coordination …

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Sizing Router Buffer For The Internet With Heterogeneous Tcp, Peng Yang, Ertong Zhang, Lisong Xu Jan 2013

Sizing Router Buffer For The Internet With Heterogeneous Tcp, Peng Yang, Ertong Zhang, Lisong Xu

Department of Electrical and Computer Engineering: Faculty Publications

The router buffer sizing problem is a vital problem to the performance of the Internet. The traditional rule-of-thumb is that the router buffer size should be equal to the bandwidthdelay product (BDP) of a link. Recent studies show that the router buffer size can be significantly smaller than the BDP without causing negative impact on the TCP performance in the Internet. But a fundamental assumption of all those studies is that all the TCP traffic in the Internet is generated by the traditional RENO protocol, which, however, is no longer true as the current Internet is dominated by multiple different …

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Stability And Dynamic Performance Improvement Of A Sensorless Ipmsm Drive Via Adaptive Estimated-Speed- Assisted Position Prediction And Current Quality Evaluation, Yue Zhao, Wei Qiao, Long Wu Jan 2013

Stability And Dynamic Performance Improvement Of A Sensorless Ipmsm Drive Via Adaptive Estimated-Speed- Assisted Position Prediction And Current Quality Evaluation, Yue Zhao, Wei Qiao, Long Wu

Department of Electrical and Computer Engineering: Faculty Publications

This paper studies stability issues of sensorless torque control of high power interior permanent magnet synchronous machines (IPMSMs) under large load transients, e.g., complete torque reversals with the highest slew rate allowed. To perform a sensorless vector control, a current model-based sliding-mode observer is utilized to estimate the rotor position. The correlation between current regulation quality and position estimation accuracy is theoretically studied and experimentally verified. Based on the correlation, the accuracy of position estimation can be evaluated online indirectly. Moreover, an adaptive estimated-speed-assisted position prediction (ESAPP) scheme is proposed to improve the stability and performance of the sensorless control …

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On Physical Layer Security For Cognitive Radio Networks, Zhihui Shu, Yi Qian, Song Ci Jan 2013

On Physical Layer Security For Cognitive Radio Networks, Zhihui Shu, Yi Qian, Song Ci

Department of Electrical and Computer Engineering: Faculty Publications

In this article we explore the security issues on physical layer for cognitive radio networks. First we give an overview on several existing security attacks to the physical layer in cognitive radio networks. We then discuss the related countermeasures on how to defend against these attacks. We further investigate one of the most important physical layer security parameters, the secrecy capacity of a cognitive radio network, and study the outage probability of secrecy capacity of a primary user from a theoretical point of view. Furthermore, we present performance results for secrecy capacity and outage probability between a node and its …

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Wind Turbine Fault Detection And Isolation Using Support Vector Machine And A Residual-Based Method, Jianwu Zeng, Dingguo Lu, Yue Zhao, Zhe Zhang, Wei Qiao, Xiang Gong Jan 2013

Wind Turbine Fault Detection And Isolation Using Support Vector Machine And A Residual-Based Method, Jianwu Zeng, Dingguo Lu, Yue Zhao, Zhe Zhang, Wei Qiao, Xiang Gong

Department of Electrical and Computer Engineering: Faculty Publications

This paper proposes a novel scheme combining support vector machines (SVM) and a residual-based method for wind turbine fault detection and isolation (FDI). SVMs with radius basis function kernels are used for detecting and identifying sensor stuck and offset faults, where binary codes of fault types are used as the outputs of the SVMs to minimize the number of SVMs being used. The same output of a SVM may correspond to different types of faults and the final decision is made by all SVMs instead of one SVM. Moreover, a residual-based fault detection method using a time-variant threshold is developed …

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Multilayered Plasmonic Covers For Comblike Scattering Response And Optical Tagging, Francesco Monticone, Christos Argyropoulos, Andrea Alu Jan 2013

Multilayered Plasmonic Covers For Comblike Scattering Response And Optical Tagging, Francesco Monticone, Christos Argyropoulos, Andrea Alu

Department of Electrical and Computer Engineering: Faculty Publications

We discuss the potential of multilayered plasmonic particles to tailor the optical scattering response. The interplay of plasmons localized in thin stacked shells realizes peculiar degenerate cloaking and resonant states occurring at arbitrarily close frequencies. These concepts are applied to realize ultrasharp comblike scattering responses and synthesize staggered, ideally strong superscattering states closely coupled to invisible states. We demonstrate robustness to material losses and to variations in the background medium, properties that make these structures ideal for optical tagging.

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Broadband Absorbers And Selective Emitters Based On Plasmonic Brewster Metasurfaces, Christos Argyropoulos, Khai Q. Le, Nadia Mattiucci, Giuseppe D'Aguanno, Andrea Alu Jan 2013

Broadband Absorbers And Selective Emitters Based On Plasmonic Brewster Metasurfaces, Christos Argyropoulos, Khai Q. Le, Nadia Mattiucci, Giuseppe D'Aguanno, Andrea Alu

Department of Electrical and Computer Engineering: Faculty Publications

We discuss the possibility of realizing utlrabroadband omnidirectional absorbers and angularly selective coherent thermal emitters based on properly patterned plasmonic metastructures. Instead of relying on resonant concentration effects that inherently limit the bandwidth, we base our design on the combination of two inherently nonresonant effects: plasmonic Brewster funneling and adiabatic plasmonic focusing. Using this approach, we propose compact, broadband absorption and emission spanning terahertz, infrared, and optical frequencies, ideal for various energy and defense applications.

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Plasmonic Nanoparticles And Metasurfaces To Realize Fano Spectra At Ultraviolet Wavelengths, Christos Argyropoulos, Francesco Monticone, Giuseppe D'Aguanno, Andrea Alu Jan 2013

Plasmonic Nanoparticles And Metasurfaces To Realize Fano Spectra At Ultraviolet Wavelengths, Christos Argyropoulos, Francesco Monticone, Giuseppe D'Aguanno, Andrea Alu

Department of Electrical and Computer Engineering: Faculty Publications

We discuss the possibility to realize sharp Fano scattering signatures in the ultraviolet (UV) range, based on dipolar scattering of nanoparticles. At these frequencies, material losses usually do not allow sharp resonant effects, hindering plasmonic applications based on higher-order multipolar modes, like conventional Fano resonances. We propose to excite degenerate scattering states supported by core-shell nanoparticles made of a sapphire core and an aluminum shell. We predict enhanced, highly confined fields, supporting sharp far-field scattering signatures from single nanoparticles and planar arrays of them. These results may lead to the design of UV filters, photodetectors, sensors, and energy-harvesting devices.

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Prediction Of Peptides Binding To Mhc Class I And Ii Alleles By Temporal Motif Mining, Cem Meydan, Hasan H. Otu, Osman Ugur Sezerman Jan 2013

Prediction Of Peptides Binding To Mhc Class I And Ii Alleles By Temporal Motif Mining, Cem Meydan, Hasan H. Otu, Osman Ugur Sezerman

Department of Electrical and Computer Engineering: Faculty Publications

Background: MHC (Major Histocompatibility Complex) is a key player in the immune response of most vertebrates. The computational prediction of whether a given antigenic peptide will bind to a specific MHC allele is important in the development of vaccines for emerging pathogens, the creation of possibilities for controlling immune response, and for the applications of immunotherapy. One of the problems that make this computational prediction difficult is the detection of the binding core region in peptides, coupled with the presence of bulges and loops causing variations in the total sequence length. Most machine learning methods require the sequences to be …

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Exploring The Microsoft .Net Micro Framework For Prototyping Applied Wireless Sensor Networks, Jay D. Carlson, Mateusz Mittek, Lance C. Pérez Jan 2013

Exploring The Microsoft .Net Micro Framework For Prototyping Applied Wireless Sensor Networks, Jay D. Carlson, Mateusz Mittek, Lance C. Pérez

Department of Electrical and Computer Engineering: Faculty Publications

Most Wireless Sensor Network platforms – such as the Mica, Iris, and Telos B families of motes – use lowpower 8-bit microprocessors which have limited memory and processing capabilities, thus requiring researchers to implement communication protocols and data processing routines using lowlevel programming practices that are tedious and cumbersome. Rich features available in modern desktop operating systems – such as threads, memory management, and exception-handling – are largely absent. The Microsoft .NET Micro Framework implements a scaled-back .NET framework suitable for development on low-cost, low-power wireless sensors, while providing developers a rapid software development environment for prototyping embedded applications. Here, …

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Bearing Fault Diagnosis For Direct-Drive Wind Turbines Via Current-Demodulated Signals, Xiang Gong, Wei Qiao Jan 2013

Bearing Fault Diagnosis For Direct-Drive Wind Turbines Via Current-Demodulated Signals, Xiang Gong, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

Bearing faults account for a large portion of all faults in wind turbine generators (WTGs). Current-based bearing fault diagnosis techniques have great economic benefits and are potential to be adopted by the wind energy industry. This paper models the modulation effects of bearing faults on the stator currents of a direct-drive wind turbine equipped with a permanent-magnet synchronous generator (PMSG) operating with a variable shaft rotating frequency. Based on the analysis, a method consisting of appropriate current frequency and amplitude demodulation algorithms and a 1P-invariant power spectrum density algorithm is proposed for bearing fault diagnosis of variable-speed direct-drive wind turbines …

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Inactivation Of E. Coli Affected By Medium Conductivity In Pulsed Electric Field Processing, Tanya Kirilova Gachovska, Jeyamkondan Subbiah, Harshavardhan Thippareddi, David Marx, Frazer Williams Jan 2013

Inactivation Of E. Coli Affected By Medium Conductivity In Pulsed Electric Field Processing, Tanya Kirilova Gachovska, Jeyamkondan Subbiah, Harshavardhan Thippareddi, David Marx, Frazer Williams

Department of Electrical and Computer Engineering: Faculty Publications

No abstract provided.

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Vibration Energy Harvesting For Wireless Underground Sensor Networks, Salman Kahrobaee, Mehmet C. Vuran Jan 2013

Vibration Energy Harvesting For Wireless Underground Sensor Networks, Salman Kahrobaee, Mehmet C. Vuran

Department of Electrical and Computer Engineering: Faculty Publications

Recent developments in wireless underground communication have enabled the realization of underground sensor network applications. To this end, it is desirable to provide a sustainable operation for wireless underground sensor networks (WUSNs) with extended lifetimes as maintenance is significantly costly. One promising method towards sustainable operation is to harvest energy underground based on the vibration sources in the environment. However, to the best of our knowledge, underground vibration energy harvesting has not been investigated before. In this paper, the feasibility of vibration energy harvesting for WUSNs is investigated. First, an analytical framework is developed to model the maximum harvestable power …

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A Multiagent Modeling And Investigation Of Smart Homes With Power Generation, Storage, And Trading Features, Salman Kahrobaee, Rasheed A. Rajabzadeh, Leen-Kiat Soh, Sohrab Asgarpoor Jan 2013

A Multiagent Modeling And Investigation Of Smart Homes With Power Generation, Storage, And Trading Features, Salman Kahrobaee, Rasheed A. Rajabzadeh, Leen-Kiat Soh, Sohrab Asgarpoor

Department of Electrical and Computer Engineering: Faculty Publications

Smart homes, as active participants in a smart grid, may no longer be modeled by passive load curves; because their interactive communication and bidirectional power flow within the smart grid affects demand, generation, and electricity rates. To consider such dynamic environmental properties, we use a multiagent-system-based approach in which individual homes are autonomous agents making rational decisions to buy, sell, or store electricity based on their present and expected future amount of load, generation, and storage, accounting for the benefits each decision can offer. In the proposed scheme, home agents prioritize their decisions based on the expected utilities they provide. …

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Optimum Sizing Of Distributed Generation And Storage Capacity In Smart Households, Salman Kahrobaee, Sohrab Asgarpoor, Wei Qiao Jan 2013

Optimum Sizing Of Distributed Generation And Storage Capacity In Smart Households, Salman Kahrobaee, Sohrab Asgarpoor, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

In the near future, a smart grid will accommodate customers who are prepared to invest in generation-battery systems and employ energymanagement systems in order to cut down on their electricity bills. The main objective of this paper is to determine the optimum capacity of a customer’s distributed-generation system (such as a wind turbine) and battery within the framework of a smart grid. The proposed approach involves developing an electricity management system based on stochastic variables, such as wind speed, electricity rates, and load. Then, a hybrid stochastic method based on Monte Carlo simulation and particle swarm optimization is proposed to …

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Real-Time Stereo Matching On Cuda Using An Iterative Refinement Method For Adaptive Support-Weight Correspondences, Jedrzej Kowalczuk, Eric T. Psota, Lance C. Pérez Jan 2013

Real-Time Stereo Matching On Cuda Using An Iterative Refinement Method For Adaptive Support-Weight Correspondences, Jedrzej Kowalczuk, Eric T. Psota, Lance C. Pérez

Department of Electrical and Computer Engineering: Faculty Publications

High-quality real-time stereo matching has the potential to enable various computer vision applications including semi-automated robotic surgery, teleimmersion, and 3-D video surveillance. A novel real-time stereo matching method is presented that uses a two-pass approximation of adaptive supportweight aggregation, and a low-complexity iterative disparity refinement technique. Through an evaluation of computationally efficient approaches to adaptive support-weight cost aggregation, it is shown that the two-pass method produces an accurate approximation of the support weights while greatly reducing the complexity of aggregation. The refinement technique, constructed using a probabilistic framework, incorporates an additive term into matching cost minimization and facilitates iterative processing …

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Adaptive Feature Extraction And Svm Classification For Real-Time Fault Diagnosis Of Drivetrain Gearboxes, Dingguo Lu, Wei Qiao Jan 2013

Adaptive Feature Extraction And Svm Classification For Real-Time Fault Diagnosis Of Drivetrain Gearboxes, Dingguo Lu, Wei Qiao

Department of Electrical and Computer Engineering: Faculty Publications

Drivetrain gearboxes play an important role in many modern industrial applications. This paper presents a novel method consisting of adaptive feature extraction and support vector machine (SVM)-based classification for condition monitoring and fault diagnosis of drivetrain gearboxes operating in variable-speed conditions. An adaptive signal resampling algorithm, a frequency tracker, and a feature generation algorithm are integrated in the proposed method for effective extraction of the features of gearbox faults from the stator current signal of the AC electric machine connected to the gearbox. A radial basis function kernel-SVM classifier is designed to identify the fault in the gearbox according to …

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Achievable Throughput Regions Of Fading Broadcast And Interference Channels Under Qos Constraints, Deli Qiao, Mustafa Cenk Gursoy, Senem Velipasalar Jan 2013

Achievable Throughput Regions Of Fading Broadcast And Interference Channels Under Qos Constraints, Deli Qiao, Mustafa Cenk Gursoy, Senem Velipasalar

Department of Electrical and Computer Engineering: Faculty Publications

Transmission over fading broadcast and interference channels in the presence of quality of service (QoS) constraints is studied. Effective capacity, which provides the maximum constant arrival rate that a given service process can support while satisfying statistical QoS constraints, is employed as the performance metric. In the broadcast scenario, the effective capacity region achieved with superposition coding and successive interference cancellation is identified and is shown to be convex. Subsequently, optimal power control policies that achieve the boundary points of the effective capacity region are investigated, and an algorithm for the numerical computation of the optimal power adaptation schemes for …

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Adaptive Threshold Displacement Algorithm For Removing Hidden Information From Digital Images, Fahimeh Rezaei, Michael Hempel, Tao Ma, Pradhumna Lal Shrestha, Dongming Peng, Hamid Sharif Jan 2013

Adaptive Threshold Displacement Algorithm For Removing Hidden Information From Digital Images, Fahimeh Rezaei, Michael Hempel, Tao Ma, Pradhumna Lal Shrestha, Dongming Peng, Hamid Sharif

Department of Electrical and Computer Engineering: Faculty Publications

The growth of the Internet and online social media, especially in recent years, also gave rise to a proliferation of online multimedia content creation and distribution. The use of modern steganography methods – the art of hiding information within multimedia – presents an unprecedented opportunity for malicious uses of these materials. Therefore, developing an effective technique to avoid the distribution of secret data is a significant problem that is addressed in this paper for digital images. We introduce a novel algorithm to remove the steganography information embedded in an image without changing the quality of the image and with no …

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Adaptive Channel Allocation And Routing In Cognitive Radio Networks, Zhihui Shu, Jiazhen Zhou, Yi Qian, Rose Qingyang Hu Jan 2013

Adaptive Channel Allocation And Routing In Cognitive Radio Networks, Zhihui Shu, Jiazhen Zhou, Yi Qian, Rose Qingyang Hu

Department of Electrical and Computer Engineering: Faculty Publications

One of the biggest challenges in multi-hop cognitive radio networking is the dynamic change of channel availability to secondary users which could cause the breaking of routes and thus communications. To address this challenge, we propose an adaptive channel allocation and routing scheme in this paper. Our scheme is flexible so that it can react to the dynamic change of channel availability, and it can maximize the throughput by exploiting network coding opportunities. First, we model the primary users’ activity, channel availability and the interference among the secondary users in a cognitive radio network environment, and show how to implement …

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Social Pervasive Systems: The Integration Of Social Networks And Pervasive Systems, Soumaia Al Ayyat Jan 2013

Social Pervasive Systems: The Integration Of Social Networks And Pervasive Systems, Soumaia Al Ayyat

Papers, Posters, and Presentations

Sensor technology embedded in smart mobile devices branded such devices as candidates for building innovative context-aware pervasive applications. On a parallel front, the notable evolution in the shape and form of social networking and their seamless accessibility from mobile devices founded a goldmine of contextual information. Utilizing an ecosystem that combines both mobile smart devices and a big data like environment in the form of social networks allows for the creation of an elitist set of services and applications that merge the two domains. In this paper, and following the footsteps of similar research efforts that attempted to combine both …

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Online Learning In A Chemical Perceptron, Peter Banda, Christof Teuscher, Matthew R. Lakin Jan 2013

Online Learning In A Chemical Perceptron, Peter Banda, Christof Teuscher, Matthew R. Lakin

Computer Science Faculty Publications and Presentations

Autonomous learning implemented purely by means of a synthetic chemical system has not been previously realized. Learning promotes reusability and minimizes the system design to simple input-output specification. In this article we introduce a chemical perceptron, the first full-featured implementation of a perceptron in an artificial (simulated) chemistry. A perceptron is the simplest system capable of learning, inspired by the functioning of a biological neuron. Our artificial chemistry is deterministic and discrete-time, and follows Michaelis-Menten kinetics. We present two models, the weight-loop perceptron and the weight-race perceptron, which represent two possible strategies for a chemical implementation of linear integration and …

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Research Project On Biometrics, Alia Hassan, Ingy Nazif Jan 2013

Research Project On Biometrics, Alia Hassan, Ingy Nazif

Papers, Posters, and Presentations

As technology evolves, and our personal details become more and more susceptible to hacking, one of the most important concerns we now have is being sure our phones, computers, networks are secure. We have begun to move on from simple password and motion patterns onto using facial recognition, and other forms of biometric recognition technology to protect our private information. The iPhone 5 for example, now presents features to identify uniquely the owner of the device, in the form of fingerprint detection. So we decided to focus on the topic biometrics for this research paper, which is basically how to …

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Distributed Beamforming With Imperfect Phase Synchronization For Cognitive Radio Networks, Andrew Minturn, Deepraj Vernekar, Yaoqing Lamar Yang, Hamid Sharif Jan 2013

Distributed Beamforming With Imperfect Phase Synchronization For Cognitive Radio Networks, Andrew Minturn, Deepraj Vernekar, Yaoqing Lamar Yang, Hamid Sharif

Department of Electrical and Computer Engineering: Faculty Publications

In this paper, we present the analysis and simulation evaluation of a cognitive radio network employing a distributed beamforming technique with imperfect phase synchronization in the presence of a primary receiver. Our system model consists of a group of cognitive transmitters, each with an ideal isotropic antenna and equal transmit power, communicating with a secondary receiver in the farfield. The objective of the network of cognitive transmitters is to optimize its beampattern in the direction of the secondary receiver while minimizing the beampattern in the direction of the primary receiver to a certain threshold. The phases of the transmitted signals …

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Robust Subspace Estimation Using Low-Rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition., Omar Oreifej Jan 2013

Robust Subspace Estimation Using Low-Rank Optimization. Theory And Applications In Scene Reconstruction, Video Denoising, And Activity Recognition., Omar Oreifej

Electronic Theses and Dissertations

In this dissertation, we discuss the problem of robust linear subspace estimation using low-rank optimization and propose three formulations of it. We demonstrate how these formulations can be used to solve fundamental computer vision problems, and provide superior performance in terms of accuracy and running time. Consider a set of observations extracted from images (such as pixel gray values, local features, trajectories . . . etc). If the assumption that these observations are drawn from a liner subspace (or can be linearly approximated) is valid, then the goal is to represent each observation as a linear combination of a compact …

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Measuring The Evolving Internet Ecosystem With Exchange Points, Mohammad Zubair Ahmad Jan 2013

Measuring The Evolving Internet Ecosystem With Exchange Points, Mohammad Zubair Ahmad

Electronic Theses and Dissertations

The Internet ecosystem comprising of thousands of Autonomous Systems (ASes) now include Internet eXchange Points (IXPs) as another critical component in the infrastructure. Peering plays a significant part in driving the economic growth of ASes and is contributing to a variety of structural changes in the Internet. IXPs are a primary component of this peering ecosystem and are playing an increasing role not only in the topology evolution of the Internet but also inter-domain path routing. In this dissertation we study and analyze the overall affects of peering and IXP infrastructure on the Internet. We observe IXP peering is enabling …

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