/*
1. Class implementing the corresponding interface
ActionListener
2. Register the component in listener with class defined
3. Define the Events
*/
import java.awt.event.*;
import java.awt.*;
class AddProgram extends Frame implements ActionListener,Windo
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DISTRIBUTED COMPUTING 2
By
Sreeja M
NITC
[email protected]
DISTRIBUTED SYSTEM MODELS
Purpose of a system model is to illustrate/describe common properties
and design choices for distributed system in a single descriptive model
Three types of models
Physi
CLOCKS, STATES, ALGORITHM
By
Sreeja M
NITC
[email protected]
DISTRIBUTED CLOCKS
The two critical differences between centralized and distributed
systems are:
absence of shared memory
absence of a global clock
LOGICAL CLOCKS
Idea abandon idea of physical
CLOUD COMPUTING
By
Sreeja M
NITC
[email protected]
DEFINITION
I dont understand what we would do differently in the light of Cloud
Computing other than change the wordings of some of our ads.
Larry Ellision, Oracles CEO
I have not heard two people say th
Computer Science 3IS3 Midterm Test 1
SOLUTIONS
Day Class
Dr. F. Franek
DURATION : 50 minutes
McMaster University Midterm Test (CAS)
October, 2008
Please CLEARLY print:
NAME:
Student ID:
question
mark
out of
1-10
20
11 (bonus)
4
12
3
total
23
This test pap
DISTRIBUTED COMPUTING
AN INTRODUCTION
By
Sreeja M
NITC
[email protected]
DISTRIBUTED SYSTEM
A distributed system is a collection of independent computers that
appears to its users as a single coherent system
It is a model in which components located on
www.ijraset.com
Vol. 2 Issue V, May 2014
ISSN: 2321-9653
INTERNATIONAL JOURNAL FOR RESEARCH IN AP PLIED SCIENCE
AN D E N G I N E E R I N G T E C H N O L O G Y (I J R A S E T)
Study of Euclidean and Manhattan Distance
Metrics using Simple K-Means Clusterin
2
Data for Data Mining
Data for data mining comes in many forms: from computer les typed in by
human operators, business information in SQL or some other standard database
format, information recorded automatically by equipment such as fault logging
devic
Integrity Policies
CS691 Chapter 6 of Matt Bishop
cs691
1
chow
Integrity
Problem area: systems require data to be changed accurately and follow the rules.
Disclosure is not a major concern.
Lipner [636] identifies five requirements for preserving data int
1782
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING,
VOL. 27,
NO. 7,
JULY 2015
Real-Time City-Scale Taxi Ridesharing
Shuo Ma, Yu Zheng, Senior Member, IEEE, and Ouri Wolfson, Fellow, IEEE
AbstractWe proposed and developed a taxi-sharing system that a
Mechanisms for Arranging Ride Sharing and Fare Splitting
for Last-Mile Travel Demands
(Extended Abstract)
Shih-Fen Cheng
Duc Thien Nguyen
Hoong Chuin Lau
School of Information Systems
Singapore Management University
cfw_sfcheng,dtnguyen.2011,[email protected]
SCRAM: A Sharing Considered Route Assignment
Mechanism for Fair Taxi Route Recommendations
Shiyou Qian
Department of Computer
Science and Engineering,
Shanghai Jiao Tong University
Jian Cao
Frdric Le Moul
Department of Computer
Science and Engineering,
Sh
2015 IEEE International Conference on Big Data (Big Data)
A Scalable Approach
for Data-Driven Taxi Ride-Sharing Simulation
Masayo Ota1,2 , Huy Vo1,3 , Cl udio Silva1,2 , and Juliana Freire1,2
a
1
Center for Urban Science and Progress, New York University
A Fuel-Saving and Pollution-Reducing Dynamic
Taxi-Sharing Protocol in VANETs
Po-Yu Chen, Je-Wei Liu, and Wen-Tsuen Chen
Department of Computer Science
National Tsing Hua University, Hsin-Chu, 300, Taiwan
E-mail: cfw_jaa, [email protected], wtche
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, VOL. 16, NO. 5, OCTOBER 2015
2587
A Partition-Based Match Making Algorithm for
Dynamic Ridesharing
Dominik Pelzer, Jiajian Xiao, Daniel Zehe, Michael H. Lees, Alois C. Knoll, Member, IEEE, and Heiko
2014 IEEE 26th International Conference on Tools with Artificial Intelligence
Online Stochastic Planning for Taxi and Ridesharing
Steve Prestwich
Insight Centre for Data Analytics
University College Cork
Cork, Ireland
[email protected]
Carlo Manna
Ins
www.ietdl.org
Published in IET Intelligent Transport Systems
Received on 7th September 2013
Revised on 1st March 2014
Accepted on 7th June 2014
doi: 10.1049/iet-its.2013.0156
ISSN 1751-956X
Can ride-sharing become attractive? A case
study of taxi-sharing
2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
A Mechanism for Organizing Last-Mile Service Using Non-Dedicated Fleet
Shih-Fen Cheng
School of Information Systems
Singapore Management University
Republic o
Introduction
Smallest enclosing circle algorithm
Randomized incremental construction
Smallest enclosing circles and more
Computational Geometry
Lecture 6: Smallest enclosing circles and more
Computational Geometry
Lecture 6: Smallest enclosing circles and
Motivation
Line segment intersection
Plane sweep
Line segment intersection for map overlay
Computational Geometry
Lecture 2: Line segment intersection
for map overlay
Computational Geometry
Lecture 2: Line segment intersection for map overlay
Motivation
L
Orthogonal range searching part II
Orthogonal range searching
1
Range trees (recap)
Input: A set of n points S=cfw_s1, s2, , sn in the plane.
Aim: Preprocess S such that orthogonal range queries can be
handled efficiently.
2
Range trees
Observation: A 2D-
Brute-Force Triangulation
1. Find a diagonal.
2. Triangulate the two resulting subpolygons recursively.
How to find a diagonal?
w
leftmost
vertex
w
v
v
u
u
case 1
closest
to v
O(n) time to find a diagonal at every step.
(n 2) time in the worst case.
case
Motivation
Line segment intersection
Plane sweep
Line segment intersection for map overlay
Computational Geometry
Lecture 2: Line segment intersection
for map overlay
Computational Geometry
Lecture 2: Line segment intersection for map overlay
Motivation
L
Planar Subdivision
Induced by planar embedding of a graph.
Connected if the underlying graph is.
edge
Complexity = #vertices + #edges + #faces
vertex
face f
Typical operations:
Walk around a face.
hole in f
disconnected subdivision
Access one face from an
Description:AsimulatedlexicalanalyserforHLLlikeC,PASCALetc.Ihavegivenasampletextfile fromwhichthesourcecodereadsthedummyprogramnanalysesit.Theprogramcanbeextendedby addingmore. /* LEX.cpp */ /*PROGRAM */ # include # include # include # include # include #
CHAPTER 28
Network Security
Exercises
1. Substitute the character that is 4 characters down. For example, X is 4 characters down from T and L is 4 characters down from H. The encrypted message is XLMW MW E KSSH IBEQTPI
3. Using statistics, we can find ENC