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CSCI 365 – Introduction to Large Scale Computing
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Introductions Name Year Major Why you are taking this course? Acceptable answers: – I am interested in the subject... – I needed to fill an upper-level elective... – My advisor told me to take the course...
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What is Large Scale Computing?
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Large Scale Computing Developing really big applications Focused on highly available, transaction processing systems Applications support or solve complex problems Technologies: – Mainframes (IBM System Z, HP NonStop) – Distributed / cloud
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Capabilities of a Large Scale System Large scale transaction processing – Thousands of transactions per second Support thousands of users and programs Simultaneously access and manage shared resources Database storage in Terabytes Large bandwidth communications
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About Me Widener Computer Science graduate Helped setup the initial large scale course at Widener in participation with the IBM academic initiative 6+ years experience in large scale application development at JPMorgan Chase Currently in the Mortgage Banking line of business
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Credit Card Processing System What does a credit card processing system do? – Authorizations: what happens when you swipe – Statements: transaction history, rewards – Customer & account system of record – Interact with network (Visa, MasterCard, acquirers) Stats: – 150MM accounts – 20MM transactions per day (peak 600TPS) – Response time under 200ms
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COURSE OVERVIEW
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Course Objectives Understand key concepts required for large scale application development – regardless of technology Describe programs from an application architecture perspective Gain real world insight into the use of computer science concepts
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Course Objectives cont Understand the difference in creating applications which run on a PC, web-based applications, and large scale applications Become fluent in TLAs / buzzwords
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Course Topics 1.System architecture overview 2.Introduction to COBOL and JCL 3.Data organization and access methods 4.Application architecture (SDLC) 5.Databases: relational vs. hierarchical 6.Transaction processing 7.High availability 8.Security
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Course Format Lectures – Review key concepts – Applied and conceptual topics Labs – Hands on mainframe experience (see next slide) – Application development assignments Online – Utilize and contribute to our course wiki – largescalecomputing.wikispaces.com
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Hands on Lab Experience Lab exercises will be completed on an IBM z9 mainframe at Marist College – Made available through the IBM academic initiative We use a terminal emulator to connect to the system from either the classroom or your personal computer
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Course Wiki Wiki contents – Course info (lecture slides, labs, schedule, etc) – General large scale computing information Students are expected to utilize the wiki and become active contributors
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Course Grading 5% lab 1 20% lab 2 20% lab 3 20% exams (2) 5% lab presentation 20% final exam 10% participation
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DATA SETS & TSO Lecture 1
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Quick Background IBM mainframe operating system is referred to as Z/OS
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What is a Data Set? Z/OS files are called data sets – A data set is a collection of logically related data records stored on disk – Before data can be written to a data set, it must be allocated – A data set can contain: Source program Macros Data records used by a program
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Types of Data Sets There are two basic types of data sets: – Sequential data set Data stored in a single piece of allocated disk space – Partitioned data set (PDS) Data can be sub-divided into multiple individual chunks or files (members) 1234567890 1234567890 1234567890.... SequentialPartitioned 123 456 Members
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Data Set Naming Conventions Sample data set name: KC02124.LAB1.COBOL High Level Qualifier: username or catalog User Determined Qualifier: what this data relates to Type: what type of data is contained (similar to a file extension) High Level QualifierType User Determined Qualifier
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Data Set Naming Conventions cont Maximum of 22 name segments (qualifiers) – Level qualifiers separated by. Each level qualifier: – 1 to 8 characters – First character must be alphabetical (A-Z) or special (@#$) – Remaining: alphabetical, numeric (0-9), or hyphen – Upper case only (not case sensitive) Example: KC02124.CSCI365.LAB1.COBOL
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PDS Naming Conventions Same rules as sequential data sets Need to specify a member name within the data set: KC02124.LAB1.COBOL(HELLO) KC02124.LAB1.COBOL(FUBAR) 123 456
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Sequential vs. Partitioned Typically, we will use the different data set types as follows: – Sequential: raw data files – PDS: COBOL source / executables, JCL, etc
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Physical Data Storage on Z/OS Data is stored on a Direct Access Storage Device (DASD) – Disk – Magnetic tape – Optical media When you hear DASD you should think disk Used for storing the OS, data sets, databases, etc
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EBCDIC IBM systems since the S/360 use the Extended Binary Coded Decimal Interchange character set Developed before ASCII and is also an 8 bit character set Z/OS also supports ASCII and UNICODE for web / Java use
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Catalogs A catalog associates a data set with the volume on which it is located Locating a data set on a catalog requires: – Data set name – Volume name – Unit (volume device type)
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Z/OS UNIX File System Z/OS UNIX System Services (USS) allows Z/OS to access UNIX files Follows UNIX standard directory / file structure We will not be using USS in this course
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How do we Interact with Z/OS? TSO – Allows users to log on to Z/OS and use a limited set of basic commands – This is called using TSO in native mode – Think command line interface ISPF – Menu structure which sits on top of TSO and provides a simpler interface for accessing commonly used TSO functions
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TSO Overview TSO stands for Time Sharing Option Allows users to create an interactive session with Z/OS Basic command prompt
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Lab Pre-Tasks Create a login and request to be a member of our wiki: – largescalecomputing.wikispaces.com Receive your TSO userid – Do not forget your ID!
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Lab 1 Lab 1 is taken from IBMs Master the Mainframe contest Follow the instructions on the wiki: – http://largescalecomputing.wikispaces.com/Lab1 Hints: – Return does not equal CNTL – Do not forget your password!
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