18 Pages

week13

Course: NETS 3303, Fall 2009
School: Allan Hancock College
Rating:
 
 
 
 
 

Word Count: 439

Document Preview

3303 1 NETS Networked Systems DNS Bjorn Landfeldt, The University of Sydney 2 Outcomes Understanding the need for a name system Understanding the design principles of DNS Hierarchy Scalability Knowledge about standardisation organisations Bjorn Landfeldt, The University of Sydney 3 Outline Why DNS How is it organised How does it work Protocol Issues Bjorn Landfeldt, The University of Sydney 4...

Register Now

Unformatted Document Excerpt

Coursehero >> California >> Allan Hancock College >> NETS 3303

Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.

Course Hero has millions of student submitted documents similar to the one below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
3303 1 NETS Networked Systems DNS Bjorn Landfeldt, The University of Sydney 2 Outcomes Understanding the need for a name system Understanding the design principles of DNS Hierarchy Scalability Knowledge about standardisation organisations Bjorn Landfeldt, The University of Sydney 3 Outline Why DNS How is it organised How does it work Protocol Issues Bjorn Landfeldt, The University of Sydney 4 DNS People can't remember 145.55.23.198 People can remember bill.microsoft.com (Almost) Every networked device has identifier Fully Qualified Domain Name (FQDN) Bjorn Landfeldt, The University of Sydney 5 FQDN ICANN -Inet Corporation for Assigned Names and Numbers - www.icann.org DNS administration see the FAQ for recent info http://www.internic/net/regist.html accredited list of registrars for .com/.net/.org Bjorn Landfeldt, The University of Sydney 6 DNS Two components: Name server (named) A database front end (can be text file) Resolver Client side library implements gethostbyname(), gethostbyaddr() Bjorn Landfeldt, The University of Sydney 7 DNS Hierarchy DNS divided into levels with root servers 2nd level servers Local servers (organisations) Queries in iterations First local server If not found 2nd level, then root Root points to 2nd level server etc. Bjorn Landfeldt, The University of Sydney 8 DNS Hierarchy root 2nd 3rd 3rd 2nd 3rd root 2nd 3rd 3rd Host Bjorn Landfeldt, The University of Sydney 9 Queries Two versions: Iterative 2nd 3rd 3rd root Host Bjorn 2nd Landfeldt, The University of Sydney 10 Queries Two versions: Recursive 2nd 3rd 3rd 2nd root Host Bjorn Landfeldt, The University of Sydney 11 Header typically UDP request/reply format request = fixed header + question section reply = fixed header + query + answer sections question = (name, type, class = IP) with name in compressed format reply = set of Resource Records (RR) Bjorn Landfeldt, The University of Sydney 12 Records Each entry in database returned as a specific record type A for IPv4 address AAAA for IPv6 address Other types available SRV, TXT etc. Bjorn Landfeldt, The University of Sydney 13 Protocol Bjorn Landfeldt, The University of Sydney 14 Flags Bjorn Landfeldt, The University of Sydney 15 Resource Record format Bjorn Landfeldt, The University of Sydney 16 RR format domain name - same format as in query TTL - in seconds, value...

Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more. Course Hero has millions of course specific materials providing students with the best way to expand their education.

Below is a small sample set of documents:

Allan Hancock College - NETS - 3303
1NETS 3303Set 2 Link LayerBjorn Landfeldt, The University of Sydney2Physical Layer intro - hw concepts topology wan versus lan switches, circuit and packet ethernet point to point serial odds and ends mtu/path mtu/localhost repeate
Allan Hancock College - NETS - 3303
1NETS 3303Routing ProtocolsBjorn Landfeldt, The University of Sydney2Overview intro RIP and son of RIP OSPF BGP odd bodkins NATBjorn Landfeldt, The University of Sydneydivide routing world into 3 parts3Bjorn Landfeldt, The Uni
Washington - SOC - 401
Sociology 401 Population & AfricaWinter 2006 2007: January 4 March 8Instructor: Samuel ClarkEmail: Office Hours: Lectures:soc401@samclark.net Monday 4:00 pm 5:00 pm, 206M Savery Monday and Wednesday, 1:30 pm 3:20 pm, Moore 116Course webs
Virginia Tech - CS - 2704
Example of a C+ ClassFrom Tom Anderson's "A Quick Introduction to C+" http:/ei.cs.vt.edu/~cs3204/summer.96/c+ +/c+.htmlStack Classclass Stack { public: void Push(int value); / Push it, check for overflow int top; / Index of stack top int stack[10
Virginia Tech - CS - 2704
Computer Science 2704Object-Oriented Software Design and Construction with C+Dr. K. Todd Stevens Spring, 1999Based on course slides of Dennis Kafura, Summer 1998Beginning Overview of the course Lab Accounts and Software Progression of Roles
Virginia Tech - CS - 2704
Section 5.2:Producing an OO System from CodeSteps: 1. Build executable 2. Test 3. Debug Usually you: Use multiple source files Split interface/implementation into .h/.c [.cpp] Reuse other libraries, objects1Comparing .h and .cpp FilesFra
Virginia Tech - CS - 2704
Chapter 6Generalization: Inheritance & Polymorphism1Section 6.1:Progression of Roles2Generalization versus Abstraction Frequently confused, but distinct Abstraction Generalization Simplify the description of something Find common pro
Virginia Tech - CS - 2704
Chapter 8Operator Overloading1User-defined Meaning for "built-in" Operators Natural, suggestive usage Semantic integrity Complex number addition, subtraction, etc. Assignment for objects with pointers < operator with user defined types Un
Virginia Tech - CS - 2704
Chapter 9Object-Oriented DesignChapter 91Topics Class Design Class Hierarchy Design Designing Complex Logic Design Representations Design PatternsChapter 9 2Class Design: PerspectivesBehavioral Information specificatio nStructural
LSU - MATH - 1551
Syllabus: Math 1551 - Section Two (9:40 a.m.) Analytic Geometry & Calculus I: Honors Last Class Day: Friday, 7 December Final Exam (Tentative): 7:30 a.m., Wed., Dec. 12 Professor: Neal W. Stoltzfus (stlts foos) u Office: 258 Lockett Hall Telephone: (
LSU - MATH - 1551
&b`Pu0yw5 E 1 ( 1 51Y 1 Y p 5 E q j ! D (1 Y p 5 E ! 7uP6y8bg4b #!w1 6wxdcg4bc6un6#!w1 D E D p 1 ( 5 1Y E 1 ( 1 5 } { Y ~ cb6q`6nd6"7uF2#Ycb`6P3qywgY r|z ayh|d#YrY p B E D B @ E 1 ( 1 5 ! ) Y B @
LSU - MATH - 1551
f b G V `f@` B v` f v b B V ` X Vf G FfU G s b X FU F @ f f v x G FfU F @` v bf @ X v b t(G 4iT2T(Tw4q4w#Y4gIdHbT2(v utdH@(YiE(YGTR (ywdHbT2(v HGeT(&yitHYFX (dyr @ r q U@ U bf `R@ B c v G X VR vf V G P G V c X@ F F @R V @R@ f @U F n `R@ B c v
LSU - MATH - 1551
Exercises: Use Induction. 1). Show that the sum of the first n consecutive even natural numbers is n(n + 1). (Hint: Begin by finding a formula for the nth even natural number.) 2). Guess a formula for the sum of the first n consecutive odd natural nu
LSU - MATH - 1551
I b 7 4 p tk o b ` l o tUur3 hqvchhPechhn I X P}v|hus %Uvqo s hvXcvhccmh t m t r l t m l t i I 9 p r m l r r m r m r mtlr m o itm t kl t l o ml t tm c ho ) |uyU W}hvh X0 t zhvs h~RcWuhs }t i cUo k t uchcm0U
LSU - MATH - 1551
Memo Three: 26 October, 2001 1 Optional Writing Project What? Write a 3-7 page paper on a topic of relevance to the subject matter of calculus which incorporates at least one mathematical concept from this course. Example: Biography of a mathematici
LSU - MATH - 1550
Syllabus: Math 1550 - Section Four (7:40 a.m.) Analytic Geometry & Calculus I Last Class Day: Friday, 7 December Final Exam (Tentative): 7:30 a.m., Mon., Dec. 10 Professor: Neal W. Stoltzfus (stlts foos) u Office: 258 Lockett Hall Telephone: (225) 57
LSU - MATH - 1550
Review One/A: 21 September, 2001Intermediate Hour Test One: Monday, 24 SeptemberCovers Chapter 1, Chapter 2 (except Section 4 and 6) and Chapter 3: Sections 1-41Definitions and RulesMemorize the Limit Laws (Chapter 2, Section 3). Organize a l
LSU - M - 4025
5FebTaylorOneDimSearchF.nb1Math 4025: 5 Feb., 2004Taylor Series to Second Orderf@x_, y_D := 3 + 13 x + 2 y + 6 x ^ 2 + 5 x y + 6 y ^ 2 Gradientf@x_, y_D := 8D@f@x, yD, xD, D@f@x, yD, yD< A = Gradientf@x, yD 813 + 12 x + 5 y, 2 + 5 x + 12 y< H
LSU - M - 4025
4025HW2b.nb1Math 4025 HW#2 Sol'nsProblem 7.2(a,b,d)In[1]:= Out[1]=f@x_D = x ^ 2 + 4 Cos@xD x2 + 4 Cos@xD Part a)In[126]:=Plot@f@xD, 8x, 1, 2<D1.2 1.4 1.6 1.8 22.82.62.4Out[126]= Graphics Part b)Part a) For error < 0.2, we
LSU - M - 4025
1Homework: 22 April: Chong-Zak, Chapter 17 & 19 Problem 17.3: Adding two slack variables, the initial tableaux is: 1 2 1 0 4 2 1 0 1 5 -2 -3 0 0 0 Pivoting sequentially about element (1,2) and then (2,1) the solution is: (2,1,0,0). The dual prog
LSU - M - 4025
Chap6cd23Mar.nb1Chapter 6 Linear Programming$Path = Append@$Path, "VolumesuSpaceOptimization"D; Needs@"OptimizationToolbox`LPSimplex`"D; Needs@"OptimizationToolbox`GraphicalSolution`"D; 6.3 Basic Solutions of an LP ProblemInformation@"BasicSo
LSU - M - 4025
1Homework: General CommentsThe most common errors were the following: Attempting to use a straightline homotopy when there is no vector space structure (however, note that when homotopies are needed either you must be given one to modify (either
LSU - M - 4025
Name: Student No: Exam One Please note the various choices available and clearly indicate your decisions. Strive for clarity, completeness and conciseness. 1. Definitions and Examples Define six of the following terms and give a non-trivial illustrat
LSU - M - 4025
%!PS-Adobe-2.0 %BoundingBox: 0 0 612 792 %HiResBoundingBox: 0 0 612 792 %Creator: (Mathematica 5.0 for X) %CreationDate: (Monday, February 9, 2004) (14:08:13) %Title: FirstProb.nb %Orientation: Portrait %Pages: 5 %DocumentNeededResources: (atend) %Do
LSU - M - 4025
1.5 Suppose you are shown four cards, laid out in a row. Each card has a letter on one side and a number on the other. On the visible side of the cards are printed the symbols: S 8 3 ADetermine which cards you should turn over to decide if the fol
LSU - M - 4025
FirstProb.nb1First Problem Set1.5You need to inspect the other side of the A to see the rule holds and of 3 to see that it is not violated.2.6Remember that to show |a|<b you need to show a<b and -a<b. Now do as you are told.3.2If A.x = x
LSU - M - 4025
HWChap91516.nb1 Chapter 9 Problem OneIn[3]:= f@x_D := Hx - aL ^ 4 In[4]:= f '@x@kDD Out[4]= 4 H-a + x@kDL3Applying Newton's Method for finding a (local) optimum: x[k+1] =x[k] - f'[x[k]/f'[x[k]f '@x@kDDOut[5]= 12 H-a + x@kDL2 Out[6]=In[6
LSU - M - 4025
LPtwo.nb1Linear Programming: Simplex Method and Row Reduction ExampleCreation of TableauxIn[8]:=m c b1, 0, 1, 0, 0 , 0, 1, 0, 1, 0 , 1, 1, 0, 0, 1 2, 5, 0, 0, 0 4, 6, 8 1, 0, 1, 0, 0 , 0, 1, 0, 1, 0 , 1, 1, 0, 0, 1 2, 5, 0, 0, 0Out[8]= Ou
LSU - M - 4025
%!PS-Adobe-2.0 %BoundingBox: 0 0 612 792 %HiResBoundingBox: 0 0 612 792 %Creator: (Mathematica 5.0 for X) %CreationDate: (Thursday, March 25, 2004) (11:22:09) %Title: /Net/bourbaki/U1/Prof/stoltz/LPtwo.nb %Orientation: Portrait %Pages: 2 %DocumentNee
LSU - M - 4025
1First Hour Exam: Thursday, 19 Feb.The test will focus on the definitions of basic ideas and concepts and theorems, together with examples to illustrate the scope of these ideas. For this exam you will not be responsible for the proofs of the maj
LSU - M - 4025
Name: Hour Exam Two: 1 April Please note the various choices available and clearly indicate your decisions. Strive for clarity, completeness and conciseness. 1. Definitions and Examples Define six of the following terms and give a non-trivial illustr
LSU - M - 4025
Name: Student No: Exam One Please note the various choices available and clearly indicate your decisions. Strive for clarity, completeness and conciseness. 1. Definitions and Examples Define four of the following terms and give a non-trivial illustra
LSU - M - 7512
1Hour Exam II: Thursday, 1 AprilThis hour exam will be similar in structure to the first hour exam. The following topics will be covered in the exam: Monoid of Words over an Alphabet Finite State Automata and Normal Forms Word Length Growth F
LSU - M - 2090
EigenSystemOutline.nb1Chapter 8, Section 5, Problem 12: Three Lin. Indep. EigenvectorsA 1, 1, 1 1 1 1 1 1 Det A 3 1 1 1 IdentityMatrix 3 4 0 2, 2 1 , 1, 1, 1 , 1, 1, 13 2Solve % 1, Eigensystem A 2 1, 0, 1 2 1, 1, 0 1 1, 1, 1 E^ t 1, 1,
LSU - M - 2090
Exam OneWork one problem per page in the blue book. Be sure to put your name and student number on the front cover. Please note the various choices available and clearly indicate your decisions. Strive for clarity, completeness and conciseness. (1)
LSU - M - 2090
T2004OneSoln.nb1Solutions: Hour Test 1Problem OneSeparate variables: y'/y=2/x and integrateIn[1]:= Integrate y ' x Out[1]= Log y x In[2]:= Integrate 2 Out[2]= 2 Log x In[5]:= Solve Log y x Out[5]= In[8]:= Out[8]=y x ,xx, x2 Log xc 1 ,y
LSU - M - 2090
Exam ThreeWork one problem per page in the blue book. Be sure to put your name and student number on the front cover. Strive for clarity, completeness and conciseness. 2 0 4 (1) Let B = 0 3 0 and the transformation T : R3 R3 defined by -1 3 -2
LSU - M - 2090
T2004ThreeBsoln.nb1Answers Test Three: Nov, 2004Problem OneA 2, 0, 4 , 0, 3, 0 , 1, 3, 2 ; MatrixForm A 2 0 0 3 1 3 4 0 2To find the kernel, solve the homogeneous system of equations:Solve A. x, y, z 0, 0, 0Solve:svars : Equations may not
LSU - M - 2090
%!PS-Adobe-2.0 %BoundingBox: 0 0 612 792 %HiResBoundingBox: 0 0 612 792 %Creator: (Mathematica 5.0 for X) %CreationDate: (Tuesday, November 23, 2004) (8:34:11) %Title: public_html/courses/T2004ThreeBsoln.nb %Orientation: Portrait %Pages: 3 %DocumentN
LSU - M - 2090
T2004TwoSoln.nb1 Problem OneIn[85]:= A = 881, 1, -2<, 80, 1, 1<, 82, 4, -3< Out[85]= 881, 1, -2<, 80, 1, 1<, 82, 4, -3<The augmented matrix below can be row reducedAA@3DD = -2 AA@1DD + AA@3DD; AA@3DD = -2 AA@2DD + AA@3DD; MatrixForm@AADIn[2
LSU - M - 2090
MATH 2090Answers to the Review Problems for Exam 2Fall 2001x1 2x1 1. Consider the system of linear equations - x1 Write this system in vector form, find the rank system. 1 -2 In vector form, the system is 2 -1 -1 1 - 2x2 + 3x3 + x4 = 6 - x2
LSU - M - 2090
T Iuff}pikY`byDb{dVdubQ`b{`kXR p X q Y hY a sV Y X a v VY c a Y X a v VY h X q v a X r a Y q Y hY a a e s s V Y v l v c a w`dVdub{hhdhfbd`kX%w}t}kY`bqdn`pV2f`duyzdv2`kXR{ ( t Y X a u x e v s V q Y h
LSU - M - 2090
MATH 2090Review Problems for Exam 2x1 - 2x2 + 3x3 + x4 = 6 2x1 - x2 + 3x3 - x4 = 3 - x1 + x2 - 2x3 = -3Fall 20001. Consider the system of linear equationsWrite this system in vector form, find of the system. 1 -1 2 -3 2. Consider the matri
LSU - M - 2090
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: sample2.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX12 CMR12 CMMI12 CMR8 CMSY10 CMEX10 %EndComments %DVIPSWebPage: (www.radicaleye.
LSU - MATH - 2090
2090Review3.nb1Review Problems: Exam 3 Math 209010.XI.2004 Section 5Chapter Six: Section Seven Basic Fact: A matrix is diagonalizable if and only if there is a basis (spanning linearly independent set) of eigenvectors. Algorithm: If S is a squ
LSU - MATH - 2090
h g db i y d xbu d h h h h i kb g hu jfRem3vjfgvmt pvpiqfvalvom 3jfgvmPvfsrfnmfvfipiwj}fewvi v U vvjmrPvmjvlpvpipm y d x bu t g d e d h h h h ug g d b s y s b h g gu ug k g ig k g h yugg b h h ug k g u sb i ug ~ i h gu su t yg uggg ~
LSU - MATH - 2090
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: reviewa2090.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips reviewa2090.dvi -o rev
LSU - MATH - 2090
T c vT yVupw H ~ F yty E H F tq ptfev H E F yktfgc E H F ypxueutYlbtfgc ug V Vh V TV cw g c cugek s c c V a T ttwtfgcdWYVWtg 9 h z H F uicgueudsdaYtyVVYTyfVtbdabefe`yd qo Fr c s e T V g w v s r c p i e g c a
LSU - MATH - 2090
%!PS-Adobe-2.0 %Creator: dvips(k) 5.86 Copyright 1999 Radical Eye Software %Title: ansa2090.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %EndComments %DVIPSWebPage: (www.radicaleye.com) %DVIPSCommandLine: dvips ansa2090.dvi -o ansa2090.
LSU - MATH - 2090
(1) Compute the following product. (2) Solve the system 0 0 1 0 1 -2 -2 -1 -3 3x -4y= 4 4x-18y=-1 (3) Write the system in matrix form and solve by row reduction. (4) Reduce the matrix -5y+2z= 10 -4x -6y = 9 -2x+11y+3z=-3 to reduced row-eche
LSU - MATH - 2090
%!PS-Adobe-2.0 %Creator: dvips(k) 5.92b Copyright 2002 Radical Eye Software %Title: matrix.dvi %Pages: 1 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: Times-Roman CMEX10 Symbol CMSY10 Times-Italic CMR10 %EndComments %DVIPSWebPage: (www
LSU - MATH - 2090
8NovP.nb1Chapter 6 Section 7 Problem # 10A 4 3 0 4, 0, 0 , 3, 0 1 2 0 1 1 1, 1 , 0, 2, 1Solving for the EigenvaluesDet A 3 IdentityMatrix 3 44 2Factor % 4 2 1Therefore the eigenvalues are 4, +I, -I where I^2 = -1 (the complex number)
Cal Poly Pomona - MU - 100
Rhythm/CountingMusicians develop rhythm skills by counting beats and divisions of the beat in measures. If we were counting the beats in a measure of 4/4 time the first beat would last from the time we said one until we said two, etc. Often, musicia
Cal Poly Pomona - MU - 100
AccidentalsThere are three common symbols that are attached to notes which help to identify the exact pitch of a note: a sharp, a natural, and a flat (see the example below). naturalsharpflatThe sharp is used to identify a note/tone that is on
Cal Poly Pomona - MU - 100
Major Key SignaturesKey signatures are symbols representing a scale/key. They tell us which accidentals are used throughout the composition. A key signatures tells a musician the majority of notes that a composer has used in the music. The chart bel
Cal Poly Pomona - MU - 100
ChordsChords are used to accompany melodies in western music. Triads are the simplest chords and are created using three notes. Example #1 below is a set of triads built on the notes of the C major scale. Each triad has 3 intervals (spaces between n
LSU - M - 7512
1. Constructing Groups Definition 1.1. A group is a pair (G, m) consisting of a set G and an operation m : GxG G satisfying: (Associativity) m(x, y), z) = m(x, m(y, z) (Identity) There is an element e in G satisfying m(x, e) = m(e, x) = x for all
LSU - M - 7512
2. Homotopy of PathsWe'll begin in chapter 9 of Munkres and the corresponding chapter, 4, of Viro. Definition 2.1. A path in X from x to y is a continuous function p : [0, 1] X with p(0) = x and p(1) = y . Examples 1) Rn , n = 3, x = (1, 0, 0), y =
LSU - M - 7512
1. P ROPERTIESOFPATH M ULTIPLICATION(1) Defined if p(1) = q(0). (2) Well-defined on path homotopy classes: We define: p q(t) = p(2t) q(2t - 1)p'1 homotopy parameter (s)1 0 t 2, 1 2 t 1.g'p(0)HH1q(1)0P1/2q(t)1path
LSU - M - 7512
Louisiana State University - Department of MathematicsCovering SpacesNeal W. StoltzfusFebruary 3, 2004Lebesgue LemmaLet X be a compact metric space (e.g. [0, 1]), and let Y be a topological space with an open cover = { U : U open in Y } i.e.
LSU - M - 7512
TOPOLOGY LECTURE NOTES FOR FEBRUARY, 10, 20041. Properties of Covering Spaces 1.Uniqueness of lifting Let B be a connected space, let E be a covering space of B, and let be a covering map from E to B. Suppose that f and g are two paths in E such t