1 IKI20210 Pengantar Organisasi Komputer Kuliah No. 21: Peripheral 29 Nopember 2002 Bobby Nazief Johny Moningka

Slides:



Advertisements
Similar presentations
CS224 Spring 2011 Computer Organization CS224 Chapter 6A: Disk Systems With thanks to M.J. Irwin, D. Patterson, and J. Hennessy for some lecture slide.
Advertisements

Faculty of Information Technology Department of Computer Science Computer Organization Chapter 7 External Memory Mohammad Sharaf.
1 IKI10230 Pengantar Organisasi Komputer Bab 5.3: On-line Storage 23 April 2003 Bobby Nazief Qonita Shahab bahan.
CSCE430/830 Computer Architecture
CPE 442 io.1 Introduction To Computer Architecture CpE 442 I/O Systems.
Faculty of Information Technology Department of Computer Science Computer Organization and Assembly Language Chapter 6 External Memory.
RAID Technology. Use Arrays of Small Disks? 14” 10”5.25”3.5” Disk Array: 1 disk design Conventional: 4 disk designs Low End High End Katz and Patterson.
CS 430 – Computer Architecture Disks
I/O Systems Processor Cache Memory - I/O Bus Main Memory I/O Controller Disk I/O Controller I/O Controller Graphics Network interrupts.
CS61C L40 I/O: Disks (1) Ho, Fall 2004 © UCB TA Casey Ho inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures Lecture 39 I/O : Disks Microsoft.
Disk Storage SystemsCSCE430/830 Disk Storage Systems CSCE430/830 Computer Architecture Lecturer: Prof. Hong Jiang Courtesy of Yifeng Zhu (U. Maine) Fall,
Computer ArchitectureFall 2007 © November 28, 2007 Karem A. Sakallah Lecture 24 Disk IO and RAID CS : Computer Architecture.
CS61C L16 Disks © UC Regents 1 CS61C - Machine Structures Lecture 16 - Disks October 20, 2000 David Patterson
1 Chapter 6 Storage and Multimedia: The Facts and More.
1 Lecture 26: Storage Systems Topics: Storage Systems (Chapter 6), other innovations Final exam stats:  Highest: 95  Mean: 70, Median: 73  Toughest.
First magnetic disks, the IBM 305 RAMAC (2 units shown) introduced in One platter shown top right. A RAMAC stored 5 million characters on inch.
CS61C L40 I/O: Disks (1) Garcia, Fall 2004 © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine Structures.
Computer ArchitectureFall 2008 © November 12, 2007 Nael Abu-Ghazaleh Lecture 24 Disk IO.
Disk Technologies. Magnetic Disks Purpose: – Long-term, nonvolatile, inexpensive storage for files – Large, inexpensive, slow level in the memory hierarchy.
Cs 61C L15 Disks.1 Patterson Spring 99 ©UCB CS61C Anatomy of I/O Devices: Magnetic Disks Lecture 15 March 10, 1999 Dave Patterson (http.cs.berkeley.edu/~patterson)
S.1 Review: Major Components of a Computer Processor Control Datapath Memory Devices Input Output Cache Main Memory Secondary Memory (Disk)
12/3/2004EE 42 fall 2004 lecture 391 Lecture #39: Magnetic memory storage Last lecture: –Dynamic Ram –E 2 memory This lecture: –Future memory technologies.
DAP Fall.‘00 ©UCB 1 Storage Devices and RAID Professor David A. Patterson Computer Science 252 Fall 2000.
CS252/Patterson Lec 5.1 1/31/01 CS252 Graduate Computer Architecture Lecture 5: I/O Introduction: Storage Devices & RAID January 31, 2001 Prof. David A.
1 CS222: Principles of Database Management Fall 2010 Professor Chen Li Department of Computer Science University of California, Irvine Notes 01.
I/0 devices.
CS 61C L41 I/O Disks (1) Garcia, Spring 2004 © UCB Lecturer PSOE Dan Garcia inst.eecs.berkeley.edu/~cs61c CS61C : Machine.
CS252/Culler Lec 6.1 2/7/02 CS252 Graduate Computer Architecture I/O Introduction: Storage Devices & RAID Jason Hill.
Introduction to Database Systems 1 The Storage Hierarchy and Magnetic Disks Storage Technology: Topic 1.
CS 61C: Great Ideas in Computer Architecture (Machine Structures) Lecture 39: IO Disks Instructor: Dan Garcia 1.
CS4432: Database Systems II Data Storage (Better Block Organization) 1.
Redundant Array of Inexpensive Disks (RAID). Redundant Arrays of Disks Files are "striped" across multiple spindles Redundancy yields high data availability.
Eng. Mohammed Timraz Electronics & Communication Engineer University of Palestine Faculty of Engineering and Urban planning Software Engineering Department.
Storage & Peripherals Disks, Networks, and Other Devices.
Lecture 4 1 Reliability vs Availability Reliability: Is anything broken? Availability: Is the system still available to the user?
CS 352 : Computer Organization and Design University of Wisconsin-Eau Claire Dan Ernst Storage Systems.
RAID Storage EEL4768, Fall 2009 Dr. Jun Wang Slides Prepared based on D&P Computer Architecture textbook, etc.
CPE 631: Storage Electrical and Computer Engineering University of Alabama in Huntsville Aleksandar Milenkovic
L/O/G/O External Memory Chapter 3 (C) CS.216 Computer Architecture and Organization.
CSE431 Chapter 6A.1Irwin, PSU, 2008 Chapter 6A: Disk Systems Mary Jane Irwin ( ) [Adapted from Computer Organization.
1 Chapter 3 Understanding Computers, 11 th Edition Storage Medium The physical material on which a computer keeps data, instructions and information. Can.
Physical Storage and File Organization COMSATS INSTITUTE OF INFORMATION TECHNOLOGY, VEHARI.
I/O – Chapter 8 Introduction Disk Storage and Dependability – 8.2 Buses and other connectors – 8.4 I/O performance measures – 8.6.
1 Chapter 7: Storage Systems Introduction Magnetic disks Buses RAID: Redundant Arrays of Inexpensive Disks.
Chapter 111 Chapter 11: Hardware (Slides by Hector Garcia-Molina,
Lecture No 11 Storage Devices
Disk Storage SystemsCSCE430/830 Disk Storage Systems CSCE430/830 Computer Architecture Lecturer: Prof. Hong Jiang Courtesy of Yifeng Zhu (U. Maine) Fall,
Auxiliary Memory Magnetic Disk:
Csci 136 Computer Architecture II – IO and Storage Systems Xiuzhen Cheng
Chapter 8 Secondary Memory. Topics Types of External Memory Magnetic Disk Optical Magnetic Tape.
1 Lecture 27: Disks Today’s topics:  Disk basics  RAID  Research topics.
CPSC 231 Secondary storage (D.H.)1 Learning Objectives Understanding disk organization. Sectors, clusters and extents. Fragmentation. Disk access time.
COSC 6340: Disks 1 Disks and Files DBMS stores information on (“hard”) disks. This has major implications for DBMS design! » READ: transfer data from disk.
Mohamed Younis CMCS 411, Computer Architecture 1 CMCS Computer Architecture Lecture 25 I/O Systems May 2,
W4118 Operating Systems Instructor: Junfeng Yang.
LECTURE 13 I/O. I/O CANNOT BE IGNORED Assume a program requires 100 seconds, 90 seconds for main memory, 10 seconds for I/O. Assume main memory access.
1 Components of the Virtual Memory System  Arrows indicate what happens on a lw virtual address data physical address TLB page table memory cache disk.
CMSC 611: Advanced Computer Architecture I/O & Storage Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted.
Computer Architecture Principles Dr. Mike Frank
Chapter 2: Computer-System Structures
Module: Storage Systems
Vladimir Stojanovic & Nicholas Weaver
IT 251 Computer Organization and Architecture
CS 554: Advanced Database System Notes 02: Hardware
Disks and Files DBMS stores information on (“hard”) disks.
Lecture 13 I/O.
Lecture 21: Storage Systems
Presentation transcript:

1 IKI20210 Pengantar Organisasi Komputer Kuliah No. 21: Peripheral 29 Nopember 2002 Bobby Nazief Johny Moningka bahan kuliah: Sumber: 1. Hamacher. Computer Organization, ed Materi kuliah CS152, th. 1997, UCB 3. Materi kuliah CS61C, th. 2000, UCB

2 I/O Devices °Input Devices: Keyboard Mouse Trackball, Joystick, Touchpad Scanner CD-ROM °Output Devices: Video Display Printer Graphics Accelerator (Graphics Card) -special connection slot: Accelerated Graphics Port (AGP) °Input & Output Devices: Video Terminal Magnetic Disk/Tape CD-RW Network Interface Card (NIC)

3 On-line Storage

4 Magnetic Disk °Purpose: Long term, nonvolatile storage Large, inexpensive, and slow Lowest level in the memory hierarchy °Two major types: Floppy disk Hard disk °Both types of disks: Rely on a rotating platter coated with a magnetic surface Use a moveable read/write head to access the disk °Advantages of hard disks over floppy disks: Platters are more rigid ( metal or glass) so they can be larger Higher density because it can be controlled more precisely Higher data rate because it spins faster Can incorporate more than one platter Registers Cache Memory Disk

5 Organization of a Hard Magnetic Disk °Typical numbers (depending on the disk size): 500 to 2,000 tracks per surface 32 to 128 sectors per track -A sector is the smallest unit that can be read or written °Traditionally all tracks have the same number of sectors: Constant bit density: record more sectors on the outer tracks Recently relaxed: constant bit size, speed varies with track location Platters Track Sector

6 Magnetic Disk Characteristic °Read/write data is a three-stage process: Seek time: position the arm over the proper track Rotational latency: wait for the desired sector to rotate under the read/write head Transfer time: transfer a block of bits (sector) under the read-write head °Average seek time as reported by the industry: Typically in the range of 8 ms to 12 ms (Sum of the time for all possible seek) / (total # of possible seeks) °Due to locality of disk reference, actual average seek time may: Only be 25% to 33% of the advertised number Sector Track Cylinder Head Platter Arm

7 Typical Numbers of a Magnetic Disk °Rotational Latency: Most disks rotate at 3,600 to 7200 RPM Approximately 16 ms to 8 ms per revolution, respectively An average latency to the desired information is halfway around the disk: 8 ms at 3600 RPM, 4 ms at 7200 RPM °Transfer Time is a function of : Transfer size (usually a sector): 1 KB / sector Rotation speed: 3600 RPM to 7200 RPM Recording density: bits per inch on a track Diameter typical diameter ranges from 2.5 to 5.25 in Typical values: 2 to 12 MB per second Sector Track Cylinder Head Platter

8 Magnetic Tapes °Typically used for backups °Accessed sequentially °7 or 9 bits are recorded in parallel across the width of the tape °Capacity: 2 – 5 GB °Transfer rate: few hundreds KB/sec

9 Optical Compact Disks °Types: CD-ROM: read only CD-R: recordable CD-RW: rewritable DVD: digital versatile disk (4.7 GB) °Advantages of Optical Compact Disk: It is removable It is inexpensive to manufacture Free of EM interference Have the potential to compete with new tape technologies for archival storage

10 Performance Consideration

11 Disk Device Performance Platter Arm Actuator HeadSector Inner Track Outer Track °Disk Latency = Seek Time + Rotation Time + Transfer Time + Controller Overhead °Seek Time? depends no. tracks move arm, seek speed of disk °Rotation Time? depends on speed disk rotates, how far sector is from head °Transfer Time? depends on data rate (bandwidth) of disk (bit density), size of request Controller Spindle

12 Rotation & Seek Time: Average °Average distance sector from head? °1/2 time of a rotation 7200 Revolutions Per Minute  120 Rev/sec 1 revolution = 1/120 sec  8.33 milliseconds 1/2 rotation (revolution)  4.16 ms °Average no. tracks move arm? Sum all possible seek distances from all possible tracks / # possible -Assumes average seek distance is random Disk industry standard benchmark

13 Disk Performance Example (using Ultrastar 72ZX) 73.4 GB, 3.5 inch disk 2¢/MB 11 platters, 22 surfaces 15,110 cylinders 7 Gbit/sq. in. areal den 17 watts (idle) 10,000 RPM; 3 ms = 1/2 rotation 0.15 ms controller time 5.3 ms avg. seek 50 MB/s(internal) Sector Track Cylinder Head Platter Arm Track Buffer Disk latency (read 1 sector: 512B) = average seek time + average rotational delay + transfer time + controller overhead = 5.3 ms * 1/(10000 RPM) KB / (50 MB/s) ms = 5.3 ms ms KB / (50 KB/ms) ms = ms = 8.55 ms source: 2/14/00

14 Fallacy: Use Data Sheet “Average Seek” Time °Manufacturers needed standard for fair comparison (“benchmark”) Calculate all seeks from all tracks, divide by number of seeks => “average” °Real average would be based on how data laid out on disk, where seek in real applications, then measure performance Usually, tend to seek to tracks nearby, not to random track °Rule of Thumb: observed average seek time is typically about 1/4 to 1/3 of quoted seek time (i.e., 3X-4X faster) UltraStar 72 avg. seek: 5.3 ms  1.7 ms

15 Fallacy: Use Data Sheet Transfer Rate °Manufacturers quote the speed off the data rate off the surface of the disk °Sectors contain an error detection and correction field (can be 20% of sector size) plus sector number as well as data °There are gaps between sectors on track °Rule of Thumb: disks deliver about 3/4 of internal media rate (1.3X slower) for data °For example, UlstraStar 72 quotes 50 MB/s internal media rate  Expect 37 MB/s user data rate

16 Disk Performance Example (revised) °Calculate time to read 1 sector for UltraStar 72 again, this time using 1/3 quoted seek time, 3/4 of internal outer track bandwidth; (8.55 ms before) Disk latency = average seek time + average rotational delay + transfer time + controller overhead = (0.33 * 5.3 ms) * 1/(10000 RPM) KB / (0.75 * 50 MB/s) ms = 1.77 ms /(10000 RPM/(60000ms/M)) KB / (37 KB/ms) ms = ms = 5.02 ms

17 Future Disk Size and Performance °Continued advance in capacity (60%/yr) and bandwidth (40%/yr) °Slow improvement in seek, rotation (8%/yr) °Time to read whole disk YearSequentiallyRandomly (1 sector/seek) minutes6 hours minutes 1 week(!) °3.5” form factor make sense in 5-7 yrs?

18 Historical Perspective °Form factor and capacity drives market, more than performance °1970s: Mainframes  14 inch diameter disks °1980s: Minicomputers, Servers  8”, 5.25” diameter disks °Late 1980s/Early 1990s: Pizzabox PCs  3.5 inch diameter disks Laptops, notebooks  2.5 inch disks Palmtops didn’t use disks, so 1.8 inch diameter disks didn’t make it

19 1 inch disk drive! °2000 IBM MicroDrive: 1.7” x 1.4” x 0.2” 1 GB, 3600 RPM, 5 MB/s, 15 ms seek Digital camera, PalmPC? °2006 MicroDrive? °9 GB, 50 MB/s! Assuming it finds a niche in a successful product Assuming past trends continue

20 RAID

21 Use Arrays of Small Disks? 14” 10”5.25”3.5” Disk Array: 1 disk design Conventional: 4 disk designs Low End High End Katz and Patterson asked in 1987: Can smaller disks be used to close gap in performance between disks and CPUs?

22 Replace Small Number of Large Disks with Large Number of Small Disks! (1988 Disks) Capacity Volume Power Data Rate I/O Rate MTTF Cost IBM 3390K 20 GBytes 97 cu. ft. 3 KW 15 MB/s 600 I/Os/s 250 KHrs $250K IBM 3.5" MBytes 0.1 cu. ft. 11 W 1.5 MB/s 55 I/Os/s 50 KHrs $2K x70 23 GBytes 11 cu. ft. 1 KW 120 MB/s 3900 IOs/s ??? Hrs $150K Disk Arrays have potential for large data and I/O rates, high MB per cu. ft., high MB per KW, but what about reliability? 9X 3X 8X 6X

23 Array Reliability °Reliability - whether or not a component has failed measured as Mean Time To Failure (MTTF) °Reliability of N disks = Reliability of 1 Disk ÷ N (assuming failures independent) 50,000 Hours ÷ 70 disks = 700 hour °Disk system MTTF: Drops from 6 years to 1 month! °Arrays too unreliable to be useful!

24 Redundant Arrays of (Inexpensive) Disks °Files are "striped" across multiple disks  RAID 0 °Redundancy yields high data availability Availability: service still provided to user, even if some components failed °Disks will still fail °Contents reconstructed from data redundantly stored in the array  Capacity penalty to store redundant info  Bandwidth penalty to update redundant info Redundant Arrays of (Independent) Disks

25 Redundant Arrays of Inexpensive Disks RAID 1: Disk Mirroring/Shadowing Each disk is fully duplicated onto its “mirror” Very high availability can be achieved Bandwidth sacrifice on write: Logical write = two physical writes Reads may be optimized Most expensive solution: 100% capacity overhead ( RAID 2 – use Hamming Code – not interesting, so skip) recovery group

26 Redundant Array of Inexpensive Disks RAID 3: Parity Disk P logical record P contains sum of other disks per stripe mod 2 (“parity”) If disk fails, subtract P from sum of other disks to find missing information Striped physical records

27 Inspiration for RAID 4 °RAID 3 relies on parity disk to discover errors on Read °But every sector has an error detection field °Rely on error detection field to catch errors on read, not on the parity disk °Allows independent reads to different disks simultaneously

28 Redundant Arrays of Inexpensive Disks RAID 4: High I/O Rate Parity D0D1D2 D3 P D4D5D6 PD7 D8D9 PD10 D11 D12 PD13 D14 D15 P D16D17 D18 D19 D20D21D22 D23 P Disk Columns Increasing Logical Disk Address Stripe Insides of 5 disks Example: small read D0 & D5, large write D12-D15 Example: small read D0 & D5, large write D12-D15

29 Inspiration for RAID 5 °RAID 4 works well for small reads °Small writes (write to one disk): Option 1: read other data disks, create new sum and write to Parity Disk Option 2: since P has old sum, compare old data to new data, add the difference to P °Small writes are limited by Parity Disk: Write to D0, D5 both also write to P disk D0 D1D2 D3 P D4 D5 D6 P D7

30 Redundant Arrays of Inexpensive Disks RAID 5: High I/O Rate Interleaved Parity Independent writes possible because of interleaved parity Independent writes possible because of interleaved parity D0D1D2 D3 P D4D5D6 P D7 D8D9P D10 D11 D12PD13 D14 D15 PD16D17 D18 D19 D20D21D22 D23 P Disk Columns Increasing Logical Disk Addresses Example: write to D0, D5 uses disks 0, 1, 3, 4

31 End of (today’s) Class °Selamat Liburan °Selamat Hari Raya Idul Fitri °Hati-hati di perjalanan °Maaf lahir batin