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Rochester - CSC - 257
Computer Networks9/5/2007Computer Networks IntroductionOutline: General course information. What are computer networks. Network architecture (Internet and OSI). Socket programming.General Course InformationCourse Web page Course email addres
Rochester - CSC - 256
Operating Systems1/25/2006Recap of the Last ClassProcesses & ThreadsHardware protection System componentskernel and user mode process management, memory management, I/O system, file and storage, networking, monolithic architecture, microke
Rochester - CSC - 573
Kai Shen1/24/2008Some Queueing TheoryPerformance Modeling of Servers - Queueing SystemsIf the facts dont match the theory, change the facts. - Albert Einstein Network server model in queueing systemsarrival process (inter-arrival time distri
Rochester - CSC - 573
Kai Shen1/29/2008Basic Queueing TheoryPerformance Modeling of Servers - Queueing Systems (cont.)Stochastic processes Markov processes/chains Birth-death processes Poisson processes Consider n(t) in an M/M/1 queue h = r/u (traffic intensity or
Rochester - CSC - 257
Computer Networks11/20/2007Multimedia and Quality of ServiceMultimedia NetworkingMultimedia applications: network audio and video (continuous media)Kai Shen Dept. of Computer Science, University of Rochesternetwork provides application wi
Rochester - CSC - 256
Operating Systems1/29/2007User/Kernel ThreadsCPU SchedulingUser threadsKernel threadsThread data structure is in user-mode memory scheduling/switching done at user mode Thread data structure is in kernel memory scheduling/switching done b
Rochester - CSC - 256
Operating Systems2/22/2006SegmentationVirtual MemoryOne-dimensional address space with growing pieces At compile time, one table may bump into another Segmentation:generate segmented logical address at compile time segmented logical address
Rochester - CSC - 256
Operating Systems2/13/2007Basic Memory ManagementBasic Memory ManagementProgram must be brought into memory and placed within a process for it to be run. Mono-programmingrunning a single user program at a timeNeed for multi-programminguti
Rochester - CSC - 257
Computer Networks9/17/2007Types of Multiple Access ProtocolsEthernetThree broad classes: Channel partitioningdivide channel into smaller pieces (time slots, frequency, code) allocate piece to node for exclusive useKai Shen Dept. of Compute
Rochester - CSC - 256
Operating Systems2/2/2004Recap of the Last ClassCPU SchedulingnProcessq q qProcess concept OS data structure for a process Operations on processes Thread concept Compared with processn nnThreadq qCS 256/456 Dept. of Computer Scie
Rochester - CSC - 257
Computer Networks9/17/2007Link Layer Multiple Access ProtocolsRecap of Last ClassLink layerhandle data transfer between neighboring network elements Encoding encode binary data into electromagnetic signals Framing encapsulate data into frame,
Rochester - CSC - 256
Operating Systems2/28/2007Recap of the Last ClassMore on Virtual MemoryVirtual memory separation of user logical memory from physical memory.Transparent page sharing: Only part of the program address space needs to be in physical memory for
Rochester - CSC - 256
Operating Systems2/20/2006Paging: Address Translation SchemePaging and SegmentationA logical address is divided into:Page number (p) used as an index into a page table which contains base address of each page in physical memory.CS 256/456
Rochester - CSC - 573
Kai Shen1/28/2003Web Server and Performance Measurement BasicsAssignment #1n nnnImplement a Web crawler Crawl a list of URLs at http:/tallinn:8080 all Internet drafts (150MB) After retrieving them, your program should save them to the l
Rochester - CSC - 573
Kai Shen2/13/2003Cluster Load Balancing Cluster-based Internet Services: ClusterLoad Balancing and Request DistributionnLoad indexn nnBroadcast policyn nnumber of active service requests CPU/memory/IO load let each node announce its wo
Rochester - CSC - 257
Computer Networks10/17/2007TCP: OverviewTCPconnection-oriented: pipelined:handshaking (exchange of control msgs) to initialize sender, receiver state before data exchange multiple in-flight segments bi-directional data flow in same connecti
Rochester - CSC - 256
Operating Systems1/18/2006General Course InformationIntroductionCS 256/456 Dept. of Computer Science, University of RochesterCourse Web page: www.cs.rochester.edu/~kshen/csc256 Course-related announcement/correspondence: Broadcast email: c
Rochester - CSC - 256
Operating Systems1/26/2005Recap of the Last ClassCPU SchedulingProcessProcess concept A processs image in the computer Operations on processesThreadCS 256/456 Dept. of Computer Science, University of RochesterThread concept Compared wi
Rochester - CSC - 256
Operating Systems4/5/2006Process QueuesCPU SchedulingCS 256/456 Dept. of Computer Science, University of RochesterReady queue set of all processes ready for execution. Device queues set of processes waiting for an I/O device. Process migr
Rochester - CSC - 256
Operating Systems3/20/2006Recap of the Last Class: Storage SystemsFile SystemDisk Structuremechanical parts (cylinders, tracks, sectors) and how they move to access disk data electronic part (disk controller main) exposes an onedimensionally
Rochester - ISSUE - 4
Margot Bouman - The Temporality of the Public Sphere: Orpheus Descending's Loop between Art and CultureBack to Issue 4The Temporality of the Public Sphere: Orpheus Descendings Loop between Art and Cultureby Margot Bouman 2002 Over the summer of
Rochester - ISSUE - 4
Introduction - To incorporate practice - issue 4Back to Issue 4Introduction: To Incorporate Practiceby T'ai Smith 2002 When the topic for this issue was initially formulatedto investigate the processes of work in distinction from the productthe
Rochester - PSC - 204
Loading Print07/07/2005 03:43 PMdialogues Does Abortion Prevent Crime? By Steven Levitt and Steve Sailer Updated Tuesday, Aug. 24, 1999, at 4:24 PM PTFrom: Steven Levitt To: Steve SailerPosted Monday, Aug. 23, 1999, at 5:32 PM PT In recent we
Rochester - PSC - 201
PSC 201 Spring 2009Solution Set #3Chapter 4 review exercises: 1. # 1 (a) The average () of the N = 6 numbers can be found by plugging x them in the formula x= N i=1 xiN=41 + 48 + 50 + 50 + 54 + 57 = 50 6The standard deviation (SD) is eq
Rochester - ISSUE - 9
Issue 9 - IntroBack to Issue 9Introduction: Nature Lovingby Lisa Uddin and Peter Hobbs 2005In the opening sequences of Luc Jacquets recent film for National Geographic, March of The Penguins (2005), audiences are shown spectacular vistas of a
Rochester - ISSUE - 6
Catherine Zuromskis - Issue 6: IntroductionBack to Issue 6Introduction: Visual Publics, Visible Publicsby Catherine Zuromskis 2003Our theoretical understanding of public is much changed since Jurgen Habermas first put forth his notion of the
Rochester - ISSUE - 7
hobbsBack to Issue 7Leaflet Drop: The Paper Landscapes of Warby Jennifer Gabrys 2004War. The possibility at last exists that war may be defeated on the linguistic plane. If war is an extreme metaphor, we may defeat it by devising metaphors tha
Rochester - WEB - 1
Low Gain v. High Gain ADC1000LvHadcL1S7 LvHadcL1S7 Entries Entries 4673 4673 Mean x 108.9 Mean y Mean y 86.8 RMS x RMS x 108.7 108.7 RMS y 28.54 28.548006004002000 02004006008001000
Rochester - WEB - 1
Low Gain v. High Gain ADC1000LvHadcL3S4 LvHadcL3S4 Entries Entries 4673 4673 Mean x 276.3 Mean y Mean y 97.96 RMS x RMS x 306.8 306.8 RMS y 72.19 72.198006004002000 02004006008001000
Rochester - WEB - 1
Low Gain v. High Gain ADC1000LvHadcL2S1 LvHadcL2S1 Entries Entries 4673 4673 Mean x 82.98 Mean y Mean y 64.76 RMS x RMS x 91.41 91.41 RMS y 26.05 26.058006004002000 02004006008001000
Rochester - WEB - 1
Low Gain v. High Gain ADC1000LvHadcL2S3 LvHadcL2S3 Entries Entries 4674 4674 Mean x 216.2 Mean y Mean y 98.38 RMS x RMS x 223.9 223.9 RMS y 41.91 41.918006004002000 02004006008001000
Rochester - WEB - 1
Low Gain v. High Gain ADC1000LvHadcL2S4 LvHadcL2S4 Entries Entries 4674 4674 Mean x 228.4 Mean y Mean y 102.1 RMS x RMS x 233.8 233.8 RMS y 45.9 45.98006004002000 02004006008001000
Rochester - WEB - 1
Low Gain v. High Gain ADC1000LvHadcL3S5 LvHadcL3S5 Entries Entries 4673 4673 Mean x 204.9 Mean y Mean y 80.58 RMS x RMS x 227.3 227.3 RMS y 38.89 38.898006004002000 02004006008001000
Rochester - WEB - 1
Low Gain v. High Gain ADC200 180 160 140 120 100 80 60 40 20 0 0 200 400 600LvHadcL3S7 LvHadcL3S7 Entries Entries 4674 4674 Mean 85.95 Mean y Mean y 78.81 78.81 RMS RMS 26.85 26.85 RMS y 4.531 4.531 2 / ndf 2 / ndf 30.97 / 17 30.97 / 17 Prob Prob
Rochester - WEB - 1
Low Gain v. High Gain ADC700 600 500 400 300 200 100 0 0 200 400 600LvHadcL2S7 LvHadcL2S7 Entries Entries 4673 4673 Mean 94.89 Mean y Mean y 83.27 83.27 RMS RMS 89.14 89.14 RMS y 28.97 28.97 2 / ndf 2 / ndf 86.52 / 38 86.52 / 38 Prob Prob 1.199e-
Rochester - WEB - 1
Low Gain v. High Gain ADC900 800 700 600 500 400 300 200 100 0 0 200 400 600LvHadcL2S3 LvHadcL2S3 Entries Entries 4674 4674 Mean 216.2 Mean y Mean y 98.38 98.38 RMS RMS 223.9 223.9 RMS y 41.91 41.91 2 / ndf 2 / ndf 83.87 / 58 83.87 / 58 Prob Prob
Rochester - WEB - 1
Low Gain v. High Gain ADC700 600 500 400 300 200 100 0 0LvHadcL3S4 LvHadcL3S4 Entries Entries 4673 4673 Mean 276.3 Mean y Mean y 97.96 97.96 RMS RMS 306.8 306.8 RMS y 72.19 72.19 2 / ndf 2 / ndf 75.36 / 58 75.36 / 58 Prob Prob 0.06242 0.06242 Slop
Rochester - WEB - 1
Low Gain v. High Gain ADC500400LvHadcL1S5 LvHadcL1S5 Entries Entries 4673 4673 Mean 285.8 Mean y Mean y 120.6 120.6 RMS RMS 306.3 306.3 RMS y 71.76 71.76 2 / ndf 2 / ndf 80.72 / 58 80.72 / 58 Prob Prob 0.02595 0.02595 Slope 0.1473 0.0004 0.147
Rochester - WEB - 1
Low Gain v. High Gain ADC900 800 700 600 500 400 300 200 100 0 0 200 400 600Entries Entries Mean Mean y Mean y RMS RMS RMS y 2 / ndf 2 / ndf Prob Prob Slope Offset OffsetLvHadcL3S1 LvHadcL3S1 4673 4673 106.9 89.88 89.88 111 111 35.63 35.63 95.41
Rochester - WEB - 1
Low Gain v. High Gain ADC900 800 700 600 500 400 300 200 100 0 0 200 400 600LvHadcL3S5 LvHadcL3S5 Entries Entries 4673 4673 Mean 204.9 Mean y Mean y 80.58 80.58 RMS RMS 227.3 227.3 RMS y 38.89 38.89 2 / ndf 2 / ndf 80.82 / 58 80.82 / 58 Prob Prob
Rochester - WEB - 1
Low Gain v. High Gain ADC900 800 700 600 500 400 300 200 100 0 0 200 400 600LvHadcL2S5 LvHadcL2S5 Entries Entries 4674 4674 Mean 272.5 Mean y Mean y 108.2 108.2 RMS RMS 295.2 295.2 RMS y 60.18 60.18 2 / ndf 2 / ndf 95 / 58 95 / 58 Prob Prob 0.0015
Rochester - WEB - 1
Low Gain v. High Gain ADC1000800600LvHadcL1S4 LvHadcL1S4 Entries Entries 4674 4674 Mean 270.1 Mean y Mean y 111.6 111.6 RMS RMS 286 286 RMS y 61.02 61.02 2 / ndf 2 / ndf 82.83 / 58 82.83 / 58 Prob Prob 0.01785 0.01785 Slope 0.1426 0.0003 0.14
Rochester - WEB - 1
Low Gain v. High Gain ADC1000800600LvHadcL2S2 LvHadcL2S2 Entries Entries 4673 4673 Mean 176.9 Mean y Mean y 77.4 77.4 RMS RMS 213.2 213.2 RMS y 39.36 39.36 2 / ndf 2 / ndf 80.35 / 58 80.35 / 58 Prob Prob 0.02767 0.02767 Slope 0.1402 0.0003 0.
Rochester - WEB - 1
Low Gain v. High Gain ADC900 800 700 600 500 400 300 200 100 0 0 200 400 600LvHadcL2S6 LvHadcL2S6 Entries Entries 4674 4674 Mean 218.5 Mean y Mean y 102 102 RMS RMS 264 264 RMS y 59.23 59.23 2 / ndf 2 / ndf 72.46 / 58 72.46 / 58 Prob Prob 0.09588
Rochester - WEB - 1
Light Loss in Y-11 Optical FiberHoward Budd* and Jesse Chvojka MINERA Note 001 November 2004 AbstractThe MINERvA experiment will use optical fiber for light collection. This fiber travels from the scintillator to the photosensor and must be bent al
Rochester - WEB - 1
Ofine Software UpdateSep 5, 07Move to new Gaudi/SLF4 Has been long awaited LHCb considers release that we are usingobsolete and removed (some of) the old binaries from their ftp archive which is near its end of life old version was only avail
Rochester - AST - 461
13 LECTURE 3 Einstein Coecients Kirchos law relating emission to absorption for a thermal emitter must involve microscopic physics. Consider system with two energy states with statistical weights g 1 and g2 respectively. Transition from 2 to 1 is b
Rochester - AST - 461
62 LECTURE 12 Angular Distribution of Emitted and Received Power g 4.9Now consider dW emitted into angle d = sin d d , where is to the x-axis. Let = cos and = cos . We do not assume forward backward symmetry here so the momentum is not zero. T
Rochester - AST - 461
23 LECTURE 5 The rst four lectures discussed general properties of radiation transfer and the some aspects of the specic case of a blackbody. The rest of the course builds up to trying to understand the physics behind the emission, absorption, and
Rochester - AST - 461
1 (AST 461) LECTURE 1: Basics of Radiation Transfer Almost all we know about the astronomical universe comes from from radiation emanating from faint sources. We need to know how to interpret this radiation. Electromagnetic spectrum, wavelength and f
Rochester - AST - 461
102 LECTURE 20 Plasma Eects Debeye Length: Consider plasma composed of charge Ze and electrons of charge e. For charge neutrality we have ne Z i = n i , (596) summation implied. The ions attract the electrons. Focus on a single ion and let us see t
Rochester - WEB - 1
New York State Department of State Division of Corporations Albany, New York 12231CERTIFICATE OF INCORPORATION OF ANT HILL COOPERATIVE, INC.Under section 11 of the Cooperative Corporations Law. FIRST: The name of the corporation shall be ANT HILL
Rochester - WEB - 1
ROCHESTER2006May/June FREEA magazine supporting sustainable and Earth-friendly living opportunities in the Greater RochesterArea~GREENER HOME.greener solutions for remodelingand building your homeSometimes communitiesareformed aroundshare
Rochester - PHYS - 121
Physics 121, Spring 2007 Newtonian MechanicsInstructor: Andrew Jordan Course email: phys121@pas.rochester.edu Oce: Bausch & Lomb 317 Text: Giancolis Physics for Scientists and Engineers, 3rd edition, Vol. 1 (2000), Prentice-Hall Course Website: http
Rochester - PHYS - 121
Physics 121, Final Exam(Dated: May 9, 2007)Printed Name: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total score: Signature: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Rochester - PHYS - 121
Physics 121, Exam 2 - Version B(Dated: March 19, 2007)Printed Name: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total score: Signature: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Rochester - PHYS - 2
Physics 121, Exam 2 - Version B(Dated: March 19, 2007)Printed Name: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total score: Signature: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Rochester - PHYS - 121
Physics 121, Exam 1(Dated: February 12, 2007)Name . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Total score:If you write on the back of a page, please indicate this on the front. No calculators; no other mat