“Cylinders” no longer exist in drives newer than around 2000. Data is arranged on recording surfaces (2 sides per platter), tracks, and sectors. Background: Hard drives consist of spinning disks, and a stack of heads. The second part of the article presents microbenchmark measurements for each of the 17 drives that were tested. It then describes the collection of microbenchmarks, starting with a basic read access time measurement and building towards increasingly complex algorithms. The remainder of this article begins with a background on hard drive geometry. There is no attempt to characterize other important performance aspects such as caching. I use these microbenchmarks to characterize a variety of hard drives from 45 MB (1989) to 5 TB (2015). These measurements include rotation period, the physical location (angle and radius) of each sector, track boundaries, skew, seek time, and some observations of defective sectors. This article describes several microbenchmarks that try to extract the physical geometry of hard disk drives, and a few other related measurements. The number of tracks is not necessarily the same on each recording surface, and the number of sectors per track varies across the disk (more sectors in the longer outer tracks than the inner tracks). Today, C and S are variable and only H is still constant. The capacity of a hard drive in sectors is simply C×H×S. Historically, this was described using three numbers: Cylinders (number of concentric rings from outside to inside), Heads (number of recording surfaces, or the number of tracks per cylinder), and Sectors per track, leading to the well-known acronym CHS. A hard drive’s “geometry” describes how data is arranged into platters, tracks, and sectors. Reading data occurs by moving the disk head to the desired track (a seek), waiting until the beginning of the desired data passes under the disk head, and then continuing to read sequentially until either all of the requested data is read, or the end of the track, when the head needs to be moved to the next track. There are typically two heads per platter (one for each side), and the entire stack of heads move together as a single unit. A stack of read/write heads move (radially) across the disks to position the head over the desired track. Hard disk drives store data on a stack of one or more rotating magnetic disks. For example, the Skippy algorithm (a fast algorithm to measure the number of surfaces, cylinder switch times, and head switch times) no longer works on modern drives because the algorithm assumes one particular ordering of tracks onto multiple platters that is no longer used on modern disks (that several head switches occur before a seek to the next cylinder). However, older algorithms often make assumptions that are no longer true on modern drives. Characterizing disk drive geometry has been done in the past, and the algorithms I used aren’t very different. Early drives had tens of thousands of sectors arranged in hundreds of concentric tracks (sparse enough for a stepper motor to accurately position the disk head), while current drives have billions of sectors (with thousands of defects), packed into hundreds of thousands of tracks spaced tens of nanometers apart.īeyond just the high-level performance (throughput and seek time) measurements, which drive characteristics can be characterized using microbenchmarks? I had initially set out to detect the number of platters in a disk without opening up a disk, but in modern disks this simple-sounding task requires measuring several other properties before inferring the count of recording surfaces. Although the basic concept of spinning magnetic disks accessed by a movable stack of disk heads has not changed, hard drives have become much more complex to enable the increased density and performance. Since then, the capacity of a 3.5″ drive has increased by about 10 6 times (from 10 MB to about 10 TB), sequential throughput by about 10 3 times, and access times by about 10 1 times. While hard drives have been around since the 1950s, the current 3.5″ form factor (actually 4″ wide) appeared in the early 1980s. Use the formulas below to find the area of many popular shapes.Modern hard drives store an incredible amount of data in a small space, and are still the default choice for high-capacity (though not highest-performance) storage. This indicates that it’s a measurement of one dimension by another dimension.Įvery geometric shape has a unique formula to calculate its area. Area is the measurement of the size of a two-dimensional surface, unlike length, which is a unidimensional measurement.īecause it’s two-dimensional, area is measured in square units, for example, square feet or square meters. In geometry, area is the space inside the perimeter or boundary of a space, and its symbol is (A).
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