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Course: PHYS 1112, Fall 2008School: UGA
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UGA - PHYS - 1112
OllfTu.O 0.,.1. gSide. 'VJ'I, _-.ofl'e'1/-eol -r-r-:-~-r-:-.;-=-~-~"O"'lj ~t {V1.f e~s( te'~Clv-e~I1-_.:.-2.- 0'PII~-: : : 0--~ _~1iD~Q~FytJrnrr.- Viri f1 +-5 : CoS(OiJ)=(f3')/J.2CoS (bOO) =
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Concurrency: Mutual Exclusion and Synchronization (4)Stallings Chapter 5 (cont.) Lecture 6P/C: unbounded buffer!! !We assume first an unbounded buffer consisting of a linear array of elements in points to the next item to be produced out poin
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Uniprocessor Scheduling (1)Chapter 9 Lecture 71CS153, B. D. Fleisch1CPU Scheduling!Allocating CPU to a ready process to"Maximize: CPU utilization and throughput (number of processes completed per unit time) Minimize: ! turnaround time
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Concurrency: Deadlock and Starvation (2)Chapter 6 (cont.) Lecture 9CS163, B. D. Fleisch1The Banker's Algorithm! !Let Q(j,i) be the amount of resource type i requested by process j. To determine if this request should be granted we use the b
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Assessing Lethality www.suicidology.orgSuicide Stats 11th Leading Cause of Death in US 10.8% National Rate (#suicides/population x 100,000) Highest risk groups: Males (White (19.5%), Native American (10.4%), and African American (8.8%) in pa
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Virtual Memory (4)Chapter 8 (cont.)CS153, B. D. Fleisch2The FIFO Policy!Treats page frames allocated to a process as a circular buffer" Whenthe buffer is full, the oldest page is replaced. Hence: first-in, first-out# Thisis not necess
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Nichole Doyle IDS 3303 TR 8-9:15 September 14, 2004Hydrogen Fuel Cells: Mining ResourcesDaimler fuel cell guru shares his vision: Hurdles now, then gradual mainstream introduction. (September 3, 2004). Retrieved September 10, 2004 from http:/www.
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1.process mediumconst nvar b : 0.1, k : 0.n-1par i : 0.n-1beginrcv bit(b) from p[i] ->k := 0;do k < n ->send bit(b) to p[k];k := k+1;odendprocess p[i : 0.n-1]varrcvd : array[integer] of 0.1,x : integer, {index of
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1.process uconstnvarresult:array [integer] of 0.1,x:integer,{index of result, init.0} ready:boolean,{init. true}voted:array [0.n-1] of boolean,num:0.n,{number of u[i] who voted}k:0.n,b:0.1parj:0.n-1beginrea
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1. process pvarround: array [integer] of 0.1,x: integer,{index of round; init. 0}b,z: 0.1,{init. 0}gen: boolean{init. false}begin~gen -> b := random; z := z +2 b; send data(b) to q; gen :
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Uni. Worcester - CS - 542
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%!PS-Adobe-3.0 %Title: Microsoft PowerPoint - Chapter01.ppt %Creator: PSCRIPT.DRV Version 4.0 %CreationDate: 09/05/01 14:58:45 %BoundingBox: 15 63 598 769 %Pages: (atend) %PageOrder: Special %Requirements: %DocumentNeededFonts: (atend) %DocumentSuppl
Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
SupplementUsing Aggregation Functions in Relational Algebra-Operator arg1(R) apply aggregation function specified inarg1 to the relation R. e.g., max(budget) (Dept) arg1,arg2(R) - group relation R based on arg1 andapply aggregation function
Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
%!PS-Adobe-3.0 %Title: Microsoft PowerPoint - Chapter08.pps %Creator: PSCRIPT.DRV Version 4.0 %CreationDate: 10/22/01 15:24:24 %BoundingBox: 15 63 598 769 %Pages: (atend) %PageOrder: Special %Requirements: %DocumentNeededFonts: (atend) %DocumentSuppl
Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
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Uni. Worcester - CS - 542
%!PS-Adobe-3.0 %Title: Microsoft PowerPoint - Chapter19.pps %Creator: PSCRIPT.DRV Version 4.0 %CreationDate: 12/04/01 14:24:35 %BoundingBox: 15 63 598 769 %Pages: (atend) %PageOrder: Special %Requirements: %DocumentNeededFonts: (atend) %DocumentSuppl
Uni. Worcester - CS - 542
Management Approval Routing System MARSProject Proposal By Arun Shastry Ross ScottIntroduction MARS is a web enabled workflow automation tool that facilitates requisition processing in a typical enterprise. The system will use an Oracle 8i datab
Uni. Worcester - CS - 542
CS 542 (Fall 2001) Database Management Systems Instructor: WangChien Lee Email: wlee@wpi.edu or wlee@ieee.org http:/www.wpi.edu/~wlee/cs542w/f01CS542: Database Management Systems1Course InformationGoalWho should attend? Scope Introduc
Uni. Worcester - CS - 542
Introduction to Database Systems Chapter 1Instructor: WangChien Lee wlee@wpi.edu or wlee@ieee.orgDatabase Management Systems, R. Ramakrishnan and J. Gehrke1What Is a DBMS?A database is a very large, integrated collection of data. Models rea
Uni. Worcester - CS - 542
The EntityRelationship ModelChapter 2Database Management Systems, R. Ramakrishnan and J. Gehrke1Overview of Database DesignConceptual design: (ER Model is used at this stage.) What are the entities and relationships in the enterprise? W
Uni. Worcester - CS - 542
The Relational ModelChapter 3Database Management Systems, R. Ramakrishnan and J. Gehrke1Why Study the Relational Model? Most widely used model. Vendors: IBM, Informix, Microsoft, Oracle, Sybase, etc."Legacy systems" in older models
Uni. Worcester - CS - 542
SQL: Queries, Programming, TriggersChapter 5Database Management Systems, R. Ramakrishnan and J. Gehrke1Example InstancesR1sid bid day 22 101 10/10/96 58 103 11/12/96sname rating age dustin 7 45.0 lubber 8 55.5 rusty 10 35.0We will
Uni. Worcester - CS - 542
Storing Data: Disks and FilesChapter 7"Yea, from the table of my memory I'll wipe away all trivial fond records." Shakespeare, HamletDatabase Management Systems, R. Ramakrishnan and J. Gehrke1Disks and Files DBMS stores information on ("har
Uni. Worcester - CS - 542
File Organizations and IndexingChapter 8"How indexlearning turns no student pale Yet holds the eel of science by the tail." Alexander Pope (16881744)Database Management Systems, R. Ramakrishnan and J. Gehrke1Alternative File OrganizationsMan
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TreeStructured IndexesChapter 9Database Management Systems, R. Ramakrishnan and J. Gehrke1Introduction1. Data record with key value k 1. <k, rid of data record with search key value k> 1. <k, list of rids of data records with search key
Uni. Worcester - CS - 542
External SortingChapter 11Database Management Systems, R. Ramakrishnan and J. Gehrke1Why Sort?A classic problem in computer science! Data requested in sorted order e.g., find students in increasing gpa orderSorting is first step in bul
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Evaluation of Relational OperationsChapter 12, Part ADatabase Management Systems, R. Ramakrishnan and J. Gehrke1Relational OperationsWe will consider how to implement: Selection ( ) Selects a subset of rows from relation. Pro
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Evaluation of Relational Operations: Other TechniquesChapter 12, Part BDatabase Management Systems, R. Ramakrishnan and Johannes Gehrke1Simple SelectionsSELECT * FROM Reserves R WHERE R.rname < `C%'Of the form R. attr op value (
Uni. Worcester - CS - 542
Introduction to Query OptimizationChapter 13Database Management Systems, R. Ramakrishnan and J. Gehrke1Overview of Query OptimizationPlan: Tree of R.A. ops, with choice of alg for each op.Two main issues: Each operator typically im
Uni. Worcester - CS - 542
Relational Query OptimizationChapters 14Database Management Systems, R. Ramakrishnan and J. Gehrke1Query Blocks: Units of OptimizationAn SQL query is parsed into a collection of query blocks, and these are optimized one block at a time.
Uni. Worcester - CS - 542
Schema Refinement and Normal FormsChapter 15Database Management Systems, R. Ramakrishnan and J. Gehrke1Redundancy is at the root of several problems associated with relational schemas:The Evils of RedundancyIntegrity constraints, in p
Uni. Worcester - CS - 542
Transaction Management OverviewChapter 18Database Management Systems, 2nd Edition. R. Ramakrishnan and J. Gehrke1TransactionsConcurrent execution of user programs is essential for good DBMS performance. Because disk accesses are frequent,