PPT-Detecting P2P Traffic from the P2P Flow Graph

Jonghyun Kim Khushboo Shah Stephen Bohacek Electrical and Computer Engineering Outline Introduction and Objectives Flow Data Identification Methods Class A1 DegreeBased P2P Detection. millenium. ?. Sanjeev . Arora. Princeton University &. Center for Computational Intractability. Overview. Last . millenium. : . . Central role of . expansion. and . expanders. Recognizing. Many slides drawn from presentations by Simon Prince/UCL and Kevin Wayne/Princeton. Image . Denoising. Foreground Extraction. Stereo Disparity. Why study MRFs?. Image . denoising. is based on modeling what kinds of images are more probable. for Airport Ground Operations . with A Shortest Path Algorithm. 12 . November. 2015. Orhan Eroglu - TUBITAK BILGEM, . Turkey. Zafer . Altug. Sayar - TUBITAK BILGEM, . Turkey. Guray. . Yilmaz. – . Bipartite Matching. Alexandra Stefan. Flow Network. A . flow network. is a . directed. graph G = (V,E) in which each edge, (. u,v. ) has a . non-negative capacity, c(. u,v. ) ≥ 0. , and for any pair of vertices (. CS302, Spring . 2013 . David Kauchak. Admin. CS lunch today. Grading. Flow graph/networks. S. A. B. T. 20. 20. 1. 0. 1. 0. 30. Flow network. directed, weighted graph (V, E). positive edge . NetPolice. Ying . Zhang. Zhuoqing. Morley . Mao. Ming Zhang. CONTENTS. INTRODUCTION. TRAFFIC DIFFRENTIATION. METHODLOGY. IMPLEMENTATION. REDUCING NOISE EFFECTS. EXPERIMENTAL RESULTS. SYSTEM EVALUATION. , Greece. ECO-BOND GRAPHS. An Energy-Based Modeling and Simulation Framework. for Complex Dynamic Systems . with a focus on . Sustainability. and . Embodied Energy . Flows. Dr. Rodrigo Castro. ETH Zürich, Switzerland.. Temporal Flow Patterns. Spatial Flow Patterns. Modal Flow Patterns. Introduction. Traffic flow represents the traffic load on the transportation system and the interaction between these loadings, and the facility capacity determines the operational performance of the system. It is extremely important, therefore to know the flow rates, their temporal, spatial and modal variations, and the composition of the traffic stream. . Yohahn. Jo. Systems Engineering . Class of 2011. Background. Traffic waves work very similar to shock . waves. In a traffic jam, traffic wave moves backward. http://www.youtube.com/watch?v=Suugn-p5C1M. . Comparative . Fidelity of Alternative Traffic Flow Models at the Corridor . Level. 15. th. Transportation Research Board . Transportation Planning Applications Conference. Presented By. Evan . Demick. Sector Traffic Control (R-Side) and Sector Traffic Planning (D-Side). . Facility Flow Planning (TMU). . National Flow Planning (CFMU).. Flight Planning (AOC). . Agenda. , Greece. ECO-BOND GRAPHS. An Energy-Based Modeling and Simulation Framework. for Complex Dynamic Systems . with a focus on . Sustainability. and . Embodied Energy . Flows. Dr. Rodrigo Castro. ETH Zürich, Switzerland.. Diagram. Khairul Anuar (PhD Candidate). Dr. Filmon Habtemichael. Dr. Mecit Cetin (presenter). Transportation Research Institute. Old Dominion University. Introduction. Point sensors. Aggregate data: Flow, speed, occupancy . Robert Marcoux. 01/13/2013. Science DMZ Requirements. The Science DMZ Model addresses several key issues in data intensive science, including:. Reducing or eliminating the packet loss that causes poor TCP performance.