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1 IKI10230 Pengantar Organisasi Komputer Bab 5.3: On-line Storage 23 April 2003 Bobby Nazief Qonita Shahab bahan.

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Presentation on theme: "1 IKI10230 Pengantar Organisasi Komputer Bab 5.3: On-line Storage 23 April 2003 Bobby Nazief Qonita Shahab bahan."— Presentation transcript:

1 1 IKI10230 Pengantar Organisasi Komputer Bab 5.3: On-line Storage 23 April 2003 Bobby Nazief Qonita Shahab bahan kuliah: Sumber: 1. Hamacher. Computer Organization, ed Materi kuliah CS152/1997, UCB.

2 2 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

3 3 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

4 4 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

5 5 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

6 6 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

7 7 Performance Consideration

8 8 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

9 9 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

10 10 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

11 11 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

12 12 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

13 13 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?

14 14 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 didnt use disks, so 1.8 inch diameter disks didnt make it

15 15 1 inch disk drive! °2000 IBM MicroDrive: 1.7 x 1.4 x 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

16 16 Use Arrays of Small Disks? 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?

17 17 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

18 18 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!

19 19 Redundant Arrays of (Inexpensive) Disks: RAID °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

20 20 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

21 21 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

22 22 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

23 23 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

24 24 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

25 25 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

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