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1 1998 Morgan Kaufmann Publishers Chapter 8 Storage, Networks and Other Peripherals

1 1998 Morgan Kaufmann Publishers Chapter 8 Storage, Networks and Other Peripherals

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Page 1: 1  1998 Morgan Kaufmann Publishers Chapter 8 Storage, Networks and Other Peripherals

11998 Morgan Kaufmann Publishers

Chapter 8

Storage, Networks and Other Peripherals

Page 2: 1  1998 Morgan Kaufmann Publishers Chapter 8 Storage, Networks and Other Peripherals

21998 Morgan Kaufmann Publishers

Introduction

• I/O Design affected by many factors (expandability, resilience)

• Three characteristics for organizing I/O devices

– Behavior: input (read once), output (write only), or storage

– Partner: Either a human or a machine is at the other end of the I/O device

– Data rate: the peak rate at which data can be transferred between the I/O device and the main memory or processor.

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31998 Morgan Kaufmann Publishers

I/O Devices

Device Behavior Partner Data rate (KB/sec)Keyboard input human 0.01Mouse input human 0.02Voice input input human 0.02Scanner input human 400.00Voice output output human 0.60Line printer output human 1.00Laser printer output human 200.00Graphics display output human 60,000.00Modem input or output machine 2.00-8.00Network/LAN input or output machine 500.00-6000.00Floppy disk storage machine 100.00Optical disk storage machine 1000.00Magnetic tape storage machine 2000.00Magnetic disk storage machine 2000.00-10,000.00

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41998 Morgan Kaufmann Publishers

I/O Performance

• Performance:— access latency — throughput— connection between devices and the system— the memory hierarchy— the operating system

• A variety of different users (e.g., banks, supercomputers, engineers)each has different requirements.

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51998 Morgan Kaufmann Publishers

Typical Collection of I/O Devices

Mainmemory

I/Ocontroller

I/Ocontroller

I/Ocontroller

Disk Graphicsoutput

Network

Memory– I/O bus

Processor

Cache

Interrupts

Disk

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61998 Morgan Kaufmann Publishers

Importance of I/O in a Networked Society

• Processors are being built from the same basic technology.

• I/O becomes one of the most distinctive features of the machines.

• As the importance of networking and information infrastructure grows, I/O plays an increasing important role.

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71998 Morgan Kaufmann Publishers

Impact of I/O on System Performance

• Suppose we have a benchmark that executes in 100 seconds of elapse time, where 90 seconds is CPU time and the rest is I/O time. If the CPU improves by 50% per year for the next five years but I/O time doesn’t improve, how much faster will our program run at the end of five years?

Amdahl’s Law again!

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81998 Morgan Kaufmann Publishers

Assessing I/O Performance

• Depends on the application

• System throughput

• I/O bandwidth

– how much data can we move through the system in a certain time?

– How many I/O operations can we do per unit of time?

• Response time

Page 9: 1  1998 Morgan Kaufmann Publishers Chapter 8 Storage, Networks and Other Peripherals

91998 Morgan Kaufmann Publishers

I/O Performance Measures

• Examples from Disk and File Systems• affected by disk technology, how disk are connected, the memory, the processor, a

nd the file system provided by the OS.• Benchmark relatively primitive compared with those for the CPU.• Note: transfer rate: 1 MB = 10^6 bytes, not 2^20 bytes• Supercomputer I/O benchmarks: dominated by access to large files on magnetic di

sks. Data throughput, # of bytes per second that can be transferred between a supercomputer’s main memory and disks.

• Transaction Processing(TP) I/O benchmarks: – involve both response time requirement and a performance based on throughp

ut. – Concerned with I/O rate, measured as # of disk accesses per second.– TPC has developed several benchmarks.

• File System I/O benchmarks: five phases --> Makedir, Copy, ScanDir, ReadAll, Make

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101998 Morgan Kaufmann Publishers

Disk Storage and Dependability

• Disk storage is nonvolatile, meaning that the data remains even when power is removed.

• Platters in hard disk are metal (or glass), offering several advantages over floppy disks:

– can be larger because it is rigid

– has higher density because it can be controlled more precisely

– Has a higher data rate because it spins faster

– can incorporate more platter

Page 11: 1  1998 Morgan Kaufmann Publishers Chapter 8 Storage, Networks and Other Peripherals

111998 Morgan Kaufmann Publishers

I/O Example: Disk Drives

• To access data:— seek: position head over the proper track (3 to 14 ms. avg.)— rotational latency: wait for desired sector (.5 / RPM)— transfer: grab the data (one or more sectors) 30-80 MB/sec

Platter

Track

Platters

Sectors

Tracks

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121998 Morgan Kaufmann Publishers

Example

• For a disk rotating at 5400 RPM,

average rotational latency = 0.5 rotation / 5400 RPM = 0.5 rotation/(5400 RPM/ 60) = 5.6ms

• For a disk rotating at 15,000 RPM, average rotational latency = 2.0ms

• Note: detailed control of the disk and the transfer between the disk and the memory is usually handled by a disk controller. The controller adds the final component of disk access time, controller time.

• The average time to perform an I/O operation will consist of these four times plus any wait time incurred because other processes are using the disk.

• Many recent disks have included caches directly in the disk to speed up the access time.

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131998 Morgan Kaufmann Publishers

Disk Read Time

• What is the average time to read or write a 512-byte sector for a typical disk rotating at 10,000 RPM? The advertised average seek time is 6 ms, the transfer rate is 50MB/sec, and the control overhead is 0.2ms. (Assuming no waiting time)

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141998 Morgan Kaufmann Publishers

Dependability, Reliability and Availability

• A system alternating between states:

1. Service accomplishment: where the service is delivered as specified

2. Service interruption: where the service is different from the specified service

• Transitions from state 1 to state 2 are caused by failures

• Transitions from state 2 to state 1 are called restorations.

• Reliability is a measure of the continuous service accomplishment.

• Mean-time-between-failures = Mean-time-to-failure + Mean-time-to-repair

• Availability = MTTF/(MTTF+MTTR)

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151998 Morgan Kaufmann Publishers

How to Increase MTTF

• Fault avoidance

• Fault tolerance

• Fault forecasting

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161998 Morgan Kaufmann Publishers

RAID

• Leveraging redundancy to improve the availability of disk storage is captured in the phrase: Redundant Array of Inexpensive Disks

• No redundancy (RAID 0): allocation of logically sequential blocks to separate disks to allow higher performance than a single disk can deliver

• Mirroring (RAID 1): writing the identical data to multiple disks to increase data availability.

• Error Detecting and Correcting Code (RAID 2)

• Bit-Interleaved Parity (RAID 3): Add enough redundant information to restore the lost information on a failure.

• Block-interleaved Parity (RAID 4)

• Distributed Block-interleaved Parity (RAID 5)

• P+Q redundancy (RAID 6)

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171998 Morgan Kaufmann Publishers

RAID 1-6

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181998 Morgan Kaufmann Publishers

Small Write Update on Raid 3 vs. Raid 4

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191998 Morgan Kaufmann Publishers

Networks

• Key characteristics of typical networks:

– distance: 0.01 to 10,000 kilometers

– speed: 0.001 MB/sec to 1GBit/sec

– topology: bus, ring, star, tree

– shared lines: none (point-to-point) or shared

• RS232: slow but cheap

• LAN (ethernet): up to 1GBit/sec

• Ethernet is a bus with multiple masters and a scheme for determining who gets bus control.

• ATM: scalable network technology (155 Mbits/sec to 2.5 Gbits/sec)

• Example: Performance of two networks

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201998 Morgan Kaufmann Publishers

The OSI Model Layers

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211998 Morgan Kaufmann Publishers

TCP/IP Packet Format

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221998 Morgan Kaufmann Publishers

Performance of Two Networks

• Bandwidth 100 Mbit/s vs. 1000 Mbit/s

• Interconnect latency: 10us

• HW latency from/to network: 2 us

• SW overhead sending to network: 100 us

• SW overhead receiving from network: 80 us

• Question: Find the host-to-host latency for a 250 byte message using each network.

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231998 Morgan Kaufmann Publishers

I/O Example: Buses

• Shared communication link (one or more wires)

• Difficult design:— may be bottleneck— length of the bus— number of devices— tradeoffs (buffers for higher bandwidth increases latency)— support for many different devices— cost

• Types of buses:— processor-memory (short high speed, custom design)— backplane (high speed, often standardized, e.g., PCI)— I/O (lengthy, different devices, standardized, e.g., SCSI)

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241998 Morgan Kaufmann Publishers

Bus: Connecting I/O Devices to Processor and Memory

• A bus generally contains a set of control lines and a set of data lines.

• Control lines are used to signal requests and acknowledges, and to indicate what type of information is on the data lines

• Data lines carry information between the source and the destination. The information may consist of data, complex commands or addresses.

• Bus transaction includes two parts: sending the address and receiving or sending the data.

• Read transaction == transfers data from memory

• Write transaction == writes data to the memory

• Input operation: input to memory so the processor can read it

• Output operation: output to device from memory

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251998 Morgan Kaufmann Publishers

Input Operation

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261998 Morgan Kaufmann Publishers

Different Machines using Different Types of Buses

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271998 Morgan Kaufmann Publishers

Synchronous and Asynchronous Buses

• Synchronous buses

– use a clock and a synchronous protocol, fast and small

– but every device must operate at same rate

– clock skew requires the bus to be short

– processor-memory buses are often synchronous

• Asynchronous buses

– don’t use a clock and instead use handshaking

– can accommodate a wide variety of devices

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281998 Morgan Kaufmann Publishers

Asynchronous Protocol

• Let’s look at some examples from the text

“Performance Analysis of Synchronous vs. Asynchronous”“Performance Analysis of Two Bus Schemes”

DataRdy

Ack

Data

ReadReq 13

4

57

642 2