@conference {16058,
	title = {VAST 2009 challenge: An insider threat},
	booktitle = {Visual Analytics Science and Technology, 2009. VAST 2009. IEEE Symposium on},
	year = {2009},
	month = {2009/10//},
	pages = {243 - 244},
	abstract = {The 4th VAST Challenge centered on a cyber analytics scenario and offered three mini-challenges with datasets of badge and network traffic data, a social network including geospatial information, and security video. Teams could also enter the Grand challenge which combined all three datasets. In this paper, we summarize the dataset, the overall scenario and the questions asked in the challenges. We describe the judging process and new infrastructure developed to manage the submissions and compute accuracy measures in the social network mini challenge. We received 49 entries from 30 teams, and gave 23 different awards to a total of 16 teams.},
	keywords = {2009, analytics;data, analytics;geospatial, challenge;cyber, data;security, information, information;human, interaction;network, interfaces;, network;visual, traffic, user, VAST, video;social, visualisation;graphical},
	doi = {10.1109/VAST.2009.5334454},
	author = {Grinstein,G. and Scholtz,J. and Whiting,M. and Plaisant, Catherine}
}
@conference {12250,
	title = {Robust Routing with Unknown Traffic Matrices},
	booktitle = {INFOCOM 2007. 26th IEEE International Conference on Computer Communications. IEEE},
	year = {2007},
	month = {2007/05//},
	pages = {2436 - 2440},
	abstract = {In this paper, we present an algorithm for intra-domain traffic engineering. We assume that the traffic matrix, which specifies traffic load between every source-destination pair in the network, is unknown and varies with time, but that always lies inside an explicitly defined region. Our goal is to compute a fixed robust routing with best worst case performance for all traffic matrices inside the bounding region. We formulate this problem as a semi-infinite programming problem. Then, we focus on a special case with practical merits, where (1) the traffic matrix region is assumed to be a polytope specified by a finite set of linear inequalities, and (2) our objective is to find the routing that minimizes the maximum link utilization. Under these assumptions, the problem can be formulated as a polynomial size linear programming (LP) problem with finite number of constraints. We further consider two specific set of constraints for the traffic matrix region. The first set is based on the hose model and limits the total traffic rate of network point of presence (PoP) nodes. The second set is based on the pipe model and limits the traffic between source-destination pairs. We study the effectiveness of each set of constraints using extensive simulations.},
	keywords = {engineering;linear, inequalities;maximum, intradomain, linear, link, matrices;linear, matrix, network, nodes;polynomial, of, point, presence, problem;traffic, Programming, programming;semiinfinite, programming;telecommunication, region;unknown, routing;telecommunication, size, traffic, traffic;, utilization;network},
	doi = {10.1109/INFCOM.2007.296},
	author = {Tabatabaee,V. and Kashyap,A. and Bhattacharjee, Bobby and La,R.J. and Shayman,M.A.}
}
@conference {12264,
	title = {CAM04-6: Single-Path Routing of Time-varying Traffic},
	booktitle = {Global Telecommunications Conference, 2006. GLOBECOM {\textquoteright}06. IEEE},
	year = {2006},
	month = {2006/12/27/1},
	pages = {1 - 6},
	abstract = {We consider the problem of finding a single-path intra-domain routing for time-varying traffic. We characterize the traffic variations by a finite set of traffic profiles with given non-zero fractions of occurrence. Our goal is to optimize the average performance over all of these traffic profiles. We solve the optimal multi-path version of this problem using linear programming and develop heuristic single-path solutions using randomized rounding and iterated rounding. We analyze our single-path heuristic (finding the optimal single-path routing is NP-hard), and prove that the randomized rounding algorithm has a worst case performance bound of O(log(KN)/log(log(KN))) compared to the optimal multi-path routing with a high probability, where K is the number of traffic profiles, and N the number of nodes in the network. Further, our simulations show the iterated rounding heuristics perform close to the optimal multi-path routing on a wide range of measured ISP topologies, in both the average and the worst-case. Overall, these results are extremely positive since they show that in a wide-range of practical situations, it is not necessary to deploy multi-path routing; instead, an appropriately computed single-path routing is sufficient to provide good performance.},
	keywords = {algorithm;linear, algorithm;time-varying, algorithms;telecommunication, bound;IP, case, complexity;iterative, intra-domain, IP, methods;linear, multipath, network, network;ISP, networks;Internet;computational, optimal, performance, problem;heuristic, profile;worst, programming;optimal, programming;probability;randomised, rounding, routing;iterated, routing;probability;randomized, routing;telecommunication, single-path, topology;NP-hard, topology;telecommunication, traffic, traffic;},
	doi = {10.1109/GLOCOM.2006.29},
	author = {Kashyap,A. and Bhattacharjee, Bobby and La,R. and Shayman,M. and Tabatabaee,V.}
}
@conference {12279,
	title = {Differentiated traffic engineering for QoS provisioning},
	booktitle = {INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE},
	volume = {4},
	year = {2005},
	month = {2005/03//},
	pages = {2349 - 2359 vol. 4 - 2349 - 2359 vol. 4},
	abstract = {We introduce a new approach for QoS provisioning in packet networks based on the notion of differentiated traffic engineering (DTE). We consider a single AS network capable of source based multi-path routing. We do not require sophisticated queuing or per-class scheduling at individual routers; instead, if a link is used to forward QoS sensitive packets, we maintain its utilization below a threshold. As a consequence, DTE eliminates the need for per-flow (IntServ) or per-class (DiffServ) packet processing tasks such as traffic classification, queueing, shaping, policing and scheduling in the core and hence poses a lower burden on the network management unit. Conversely, DTE utilizes network bandwidth much more efficiently than simple over-provisioning. In this paper, we propose a complete architecture and an algorithmic structure for DTE. We show that our scheme can be formulated as a non-convex optimization problem, and we present an optimal solution framework based on simulated annealing. We present a simulation-based performance evaluation of DTE, and compare our scheme to existing (gradient projection) methods.},
	keywords = {based, Computer, differentiated, DiffServ, DTE;, engineering;, evaluation;, link;, links;, management;, multipath, network, networks;, nonconvex, of, optimisation;, OPTIMIZATION, packet, performance, problem;, provisioning;, QoS, QUALITY, routing;, service;, simulation-based, source, Telecommunication, traffic, traffic;},
	doi = {10.1109/INFCOM.2005.1498521},
	author = {Tabatabaee,V. and Bhattacharjee, Bobby and La,R.J. and Shayman,M.A.}
}
@conference {13211,
	title = {A spherical microphone array system for traffic scene analysis},
	booktitle = {Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on},
	year = {2004},
	month = {2004/10//},
	pages = {338 - 342},
	abstract = {This paper describes a practical spherical microphone array system for traffic auditory scene capture and analysis. Our system uses 60 microphones positioned on the rigid surface of a sphere. We then propose an optimal design of a robust spherical beamformer with minimum white noise gain (WNG) of -6 dB. We test this system in a real-world traffic environment. Some preliminary simulation and experimental results are presented to demonstrate its performance. This system may also find applications in broader areas such as 3D audio, virtual environment, etc.},
	keywords = {-6, 3D, analysis;, array, arrays;, audio;, auditory, beamformer;, capture;, dB;, environment;, gain;, microphone, NOISE, noise;, processing;, real, robust, scene, signal, spherical, system;, traffic, traffic;, virtual, white, World},
	doi = {10.1109/ITSC.2004.1398921},
	author = {Zhiyun Li and Duraiswami, Ramani and Grassi,E. and Davis, Larry S.}
}
@conference {13246,
	title = {Modelling pedestrian shapes for outlier detection: a neural net based approach},
	booktitle = {Intelligent Vehicles Symposium, 2003. Proceedings. IEEE},
	year = {2003},
	month = {2003/06//},
	pages = {428 - 433},
	abstract = {In this paper we present an example-based approach to learn a given class of complex shapes, and recognize instances of that shape with outliers. The system consists of a two-layer custom-designed neural network. We apply this approach to the recognition of pedestrians carrying objects from a single camera. The system is able to capture and model an ample range of pedestrian shapes at varying poses and camera orientations, and achieves a 90\% correct recognition rate.},
	keywords = {(artificial, complex, Computer, computing;, custom, design;, detection;, engineering, intelligence);, layer, learning, method;, modelling;, net;, nets;, neural, object, outlier, pedestrian, pedestrians, rate;, recognition, recognition;, SHAPE, shapes;, traffic, two, vision;},
	doi = {10.1109/IVS.2003.1212949},
	author = {Nanda,H. and Benabdelkedar,C. and Davis, Larry S.}
}
@article {18206,
	title = {Dynamic resource allocation via video content and short-term traffic statistics},
	journal = {Multimedia, IEEE Transactions on},
	volume = {3},
	year = {2001},
	month = {2001/06//},
	pages = {186 - 199},
	abstract = {The reliable and efficient transmission of high-quality variable bit rate (VBR) video through the Internet generally requires network resources be allocated in a dynamic fashion. This includes the determination of when to renegotiate for network resources, as well as how much to request at a given time. The accuracy of any resource request method depends critically on its prediction of future traffic patterns. Such a prediction can be performed using the content and traffic information of short video segments. This paper presents a systematic approach to select the best features for prediction, indicating that while content is important in predicting the bandwidth of a video hit stream, the use of both content and available short-term bandwidth statistics can yield significant improvements. A new framework for traffic prediction is proposed in this paper; experimental results show a smaller mean-square resource prediction error and higher overall link utilization},
	keywords = {allocation;link, allocation;multimedia, allocation;variable, bit, codes;, content;bandwidth, error;short, Internet;dynamic, patterns;variable, prediction, rate, resource, segments;short-term, statistics;traffic, systems;resource, traffic, utilization;mean-square, video, video;video},
	isbn = {1520-9210},
	doi = {10.1109/6046.923818},
	author = {M. Wu and Joyce,R.A. and Wong,Hau-San and Guan,Long and Kung,Sun-Yuan}
}
