Ipv6 Addressing
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1 Metric Prefixes 2 Bits, Bytes, Nibbles, and Pixels
Here are some terminologies relating to computing hardware, etc. 1 Metric prefixes Some of these prefix names may be familiar, but here we give more extensive listings than most people are familiar with and even more than are likely to appear in typical computer science usage. The range in which typical usages occur is from Peta down to nano or pico. A further note is that the terminologies are classicly used for powers of 10, but most quantities in computer science are measured in terms of powers of 2. Since 210 = 1024, which is close to 103, computer scientists typically use these prefixes to represent the nearby powers of 2, at least with reference to big things like bytes of memory. For big things: Power In CS, Place-value Metric metric of 10 may be name prefix abbrev. 103 210 thousands kilo k 106 220 millions mega M 109 230 billions giga G 1012 240 trillions tera T 1015 250 quadrillions peta P 1018 260 quintillions exa E 1021 270 sextillions zeta Z 1024 280 septillions yotta Y For small things: Power In CS, Place-value Metric metric of 10 may be name prefix abbrev. 10−3 2−10 thousandths milli m 10−6 2−20 millionths micro µ 10−9 2−30 billionths nano n 10−12 2−40 trillionths pico p 10−15 2−50 quadrillionths femto f 10−18 2−60 quintillionths atto a 10−21 2−70 sextillionths zepto z 10−24 2−80 septillionths yocto y 2 Bits, bytes, nibbles, and pixels Information in computers is essentially stored as sequences of 0's and 1's. -
Chapter 2 Data Representation in Computer Systems 2.1 Introduction
QUIZ ch.1 • 1st generation • Integrated circuits • 2nd generation • Density of silicon chips doubles every 1.5 yrs. rd • 3 generation • Multi-core CPU th • 4 generation • Transistors • 5th generation • Cost of manufacturing • Rock’s Law infrastructure doubles every 4 yrs. • Vacuum tubes • Moore’s Law • VLSI QUIZ ch.1 The highest # of transistors in a CPU commercially available today is about: • 100 million • 500 million • 1 billion • 2 billion • 2.5 billion • 5 billion QUIZ ch.1 The highest # of transistors in a CPU commercially available today is about: • 100 million • 500 million “As of 2012, the highest transistor count in a commercially available CPU is over 2.5 • 1 billion billion transistors, in Intel's 10-core Xeon • 2 billion Westmere-EX. • 2.5 billion Xilinx currently holds the "world-record" for an FPGA containing 6.8 billion transistors.” Source: Wikipedia – Transistor_count Chapter 2 Data Representation in Computer Systems 2.1 Introduction • A bit is the most basic unit of information in a computer. – It is a state of “on” or “off” in a digital circuit. – Sometimes these states are “high” or “low” voltage instead of “on” or “off..” • A byte is a group of eight bits. – A byte is the smallest possible addressable unit of computer storage. – The term, “addressable,” means that a particular byte can be retrieved according to its location in memory. 5 2.1 Introduction A word is a contiguous group of bytes. – Words can be any number of bits or bytes. – Word sizes of 16, 32, or 64 bits are most common. – Intel: 16 bits = 1 word, 32 bits = double word, 64 bits = quad word – In a word-addressable system, a word is the smallest addressable unit of storage. -
How Many Bits Are in a Byte in Computer Terms
How Many Bits Are In A Byte In Computer Terms Periosteal and aluminum Dario memorizes her pigeonhole collieshangie count and nagging seductively. measurably.Auriculated and Pyromaniacal ferrous Gunter Jessie addict intersperse her glockenspiels nutritiously. glimpse rough-dries and outreddens Featured or two nibbles, gigabytes and videos, are the terms bits are in many byte computer, browse to gain comfort with a kilobyte est une unité de armazenamento de armazenamento de almacenamiento de dados digitais. Large denominations of computer memory are composed of bits, Terabyte, then a larger amount of nightmare can be accessed using an address of had given size at sensible cost of added complexity to access individual characters. The binary arithmetic with two sets render everything into one digit, in many bits are a byte computer, not used in detail. Supercomputers are its back and are in foreign languages are brainwashed into plain text. Understanding the Difference Between Bits and Bytes Lifewire. RAM, any sixteen distinct values can be represented with a nibble, I already love a Papst fan since my hybrid head amp. So in ham of transmitting or storing bits and bytes it takes times as much. Bytes and bits are the starting point hospital the computer world Find arrogant about the Base-2 and bit bytes the ASCII character set byte prefixes and binary math. Its size can vary depending on spark machine itself the computing language In most contexts a byte is futile to bits or 1 octet In 1956 this leaf was named by. Pages Bytes and Other Units of Measure Robelle. This function is used in conversion forms where we are one series two inputs. -
Empirical Analysis of the Effects and the Mitigation of Ipv4 Address Exhaustion
TECHNISCHE UNIVERSITÄT BERLIN FAKULTÄT FÜR ELEKTROTECHNIK UND INFORMATIK LEHRSTUHL FÜR INTELLIGENTE NETZE UND MANAGEMENT VERTEILTER SYSTEME Empirical Analysis of the Effects and the Mitigation of IPv4 Address Exhaustion vorgelegt von M.Sc. Philipp Richter geboren in Berlin von der Fakultät IV – Elektrotechnik und Informatik der Technischen Universität Berlin zur Erlangung des akademischen Grades DOKTOR DER NATURWISSENSCHAFTEN -DR. RER. NAT.- genehmigte Dissertation Promotionsausschuss: Vorsitzender: Prof. Dr.-Ing. Sebastian Möller, Technische Universität Berlin Gutachterin: Prof. Anja Feldmann, Ph.D., Technische Universität Berlin Gutachter: Prof. Vern Paxson, Ph.D., University of California, Berkeley Gutachter: Prof. Steve Uhlig, Ph.D., Queen Mary University of London Tag der wissenschaftlichen Aussprache: 2. August 2017 Berlin 2017 Abstract IP addresses are essential resources for communication over the Internet. In IP version 4, an address is represented by 32 bits in the IPv4 header; hence there is a finite pool of roughly 4B addresses available. The Internet now faces a fundamental resource scarcity problem: The exhaustion of the available IPv4 address space. In 2011, the Internet Assigned Numbers Authority (IANA) depleted its pool of available IPv4 addresses. IPv4 scarcity is now reality. In the subsequent years, IPv4 address scarcity has started to put substantial economic pressure on the networks that form the Internet. The pools of available IPv4 addresses are mostly depleted and today network operators have to find new ways to satisfy their ongoing demand for IPv4 addresses. Mitigating IPv4 scarcity is not optional, but mandatory: Networks facing address shortage have to take action in order to be able to accommodate additional subscribers and customers. Thus, if not confronted, IPv4 scarcity has the potential to hinder further growth of the Internet. -
BCA SEM II CAO Data Representation and Number System by Dr. Rakesh Ranjan .Pdf.Pdf
Department Of Computer Application (BCA) Dr. Rakesh Ranjan BCA Sem - 2 Computer Organization and Architecture About Computer Inside Computers are classified according to functionality, physical size and purpose. Functionality, Computers could be analog, digital or hybrid. Digital computers process data that is in discrete form whereas analog computers process data that is continuous in nature. Hybrid computers on the other hand can process data that is both discrete and continuous. In digital computers, the user input is first converted and transmitted as electrical pulses that can be represented by two unique states ON and OFF. The ON state may be represented by a “1” and the off state by a “0”.The sequence of ON’S and OFF’S forms the electrical signals that the computer can understand. A digital signal rises suddenly to a peak voltage of +1 for some time then suddenly drops -1 level on the other hand an analog signal rises to +1 and then drops to -1 in a continuous version. Although the two graphs look different in their appearance, notice that they repeat themselves at equal time intervals. Electrical signals or waveforms of this nature are said to be periodic.Generally,a periodic wave representing a signal can be described using the following parameters Amplitude(A) Frequency(f) periodic time(T) Amplitude (A): this is the maximum displacement that the waveform of an electric signal can attain. Frequency (f): is the number of cycles made by a signal in one second. It is measured in hertz.1hert is equivalent to 1 cycle/second. Periodic time (T): the time taken by a signal to complete one cycle is called periodic time. -
Binary Slides
Decimal Numbers: Base 10 Numbers: positional notation Digits: 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 • Number Base B ! B symbols per digit: • Base 10 (Decimal): 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 Base 2 (Binary): 0, 1 Example: • Number representation: 3271 = • d31d30 ... d1d0 is a 32 digit number • value = d " B31 + d " B30 + ... + d " B1 + d " B0 (3x103) + (2x102) + (7x101) + (1x100) 31 30 1 0 • Binary: 0,1 (In binary digits called “bits”) • 0b11010 = 1"24 + 1"23 + 0"22 + 1"21 + 0"20 = 16 + 8 + 2 #s often written = 26 0b… • Here 5 digit binary # turns into a 2 digit decimal # • Can we find a base that converts to binary easily? CS61C L01 Introduction + Numbers (33) Garcia, Fall 2005 © UCB CS61C L01 Introduction + Numbers (34) Garcia, Fall 2005 © UCB Hexadecimal Numbers: Base 16 Decimal vs. Hexadecimal vs. Binary • Hexadecimal: Examples: 00 0 0000 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, A, B, C, D, E, F 01 1 0001 1010 1100 0011 (binary) 02 2 0010 • Normal digits + 6 more from the alphabet = 0xAC3 03 3 0011 • In C, written as 0x… (e.g., 0xFAB5) 04 4 0100 10111 (binary) 05 5 0101 • Conversion: Binary!Hex 06 6 0110 = 0001 0111 (binary) 07 7 0111 • 1 hex digit represents 16 decimal values = 0x17 08 8 1000 • 4 binary digits represent 16 decimal values 09 9 1001 0x3F9 "1 hex digit replaces 4 binary digits 10 A 1010 = 11 1111 1001 (binary) 11 B 1011 • One hex digit is a “nibble”. -
Tutorial on the Digital SENT Interface
A Tutorial for the Digital SENT Interface By Tim White, IDT System Architect SENT (Single Edge Nibble Transmission) is a unique serial interface originally targeted for automotive applications. First adopters are using this interface with sensors used for applications such as throttle position, pressure, mass airflow, and high temperature. The SENT protocol is defined to be output only. For typical safety-critical applications, the sensor data must be output at a constant rate with no bidirectional communications that could cause an interruption. For sensor calibration, a secondary interface is required to communicate with the device. In normal operation, the part is powered up and the transceiver starts transmitting the SENT data. This is very similar to the use model for an analog output with one important difference: SENT is not limited to one data parameter per transmission and can easily report multiple pieces of additional information, such as temperature, production codes, diagnostics, or other secondary data. Figure 1 Example of SENT Interface for High Temperature Sensing SENT Protocol Basic Concepts and Fast Channel Data Transmission The primary data are normally transmitted in what is typically called the “fast channel” with the option to simultaneously send secondary data in the “slow channel.” An example of fast channel transmission is shown in Figure 2. This example shows two 12-bit data words transmitted in each message frame. Many other options are also possible, such as 16 bits for signal 1 and 8 bits for signal 2. Synchronization/ -
Bit, Byte, and Binary
Bit, Byte, and Binary Number of Number of values 2 raised to the power Number of bytes Unit bits 1 2 1 Bit 0 / 1 2 4 2 3 8 3 4 16 4 Nibble Hexadecimal unit 5 32 5 6 64 6 7 128 7 8 256 8 1 Byte One character 9 512 9 10 1024 10 16 65,536 16 2 Number of bytes 2 raised to the power Unit 1 Byte One character 1024 10 KiloByte (Kb) Small text 1,048,576 20 MegaByte (Mb) A book 1,073,741,824 30 GigaByte (Gb) An large encyclopedia 1,099,511,627,776 40 TeraByte bit: Short for binary digit, the smallest unit of information on a machine. John Tukey, a leading statistician and adviser to five presidents first used the term in 1946. A single bit can hold only one of two values: 0 or 1. More meaningful information is obtained by combining consecutive bits into larger units. For example, a byte is composed of 8 consecutive bits. Computers are sometimes classified by the number of bits they can process at one time or by the number of bits they use to represent addresses. These two values are not always the same, which leads to confusion. For example, classifying a computer as a 32-bit machine might mean that its data registers are 32 bits wide or that it uses 32 bits to identify each address in memory. Whereas larger registers make a computer faster, using more bits for addresses enables a machine to support larger programs. -
Emulation of the IP Core Network for Testing of the Service GPRS Support Node (SGSN) Routing Application
Technical report, IDE0959, November 2009 Emulation of the IP Core Network for Testing of the Service GPRS Support Node (SGSN) Routing Application Master’s Thesis in Computer Network Engineering Hossein Torkaman School of Information Science, Computer and Electrical Engineering Halmstad University Emulation of the IP Core Network for Testing of the Service GPRS Support Node (SGSN) Routing Application Master’s thesis in Computer Network Engineering School of Information Science, Computer and Electrical Engineering Halmstad University Box 823, S-301 18 Halmstad, Sweden November 2009 Description of cover page picture: IP Core Network picture on GPRS Networks. Preface The following report is based on the data and information gathered through literature studies, Ericsson’s Intranet documents and other several GPRS standards published by 3rd Generation Partnership Project (3GPP), observations, emulating different IP core network scenarios, meetings and executed experiments during December 2008 - August 2009 at Ericsson AB Lindholmen. The input martial to this thesis formed primarily by Internet Protocols and Drivers section in Product Development Department Packet Core at Ericsson AB, Göteborg, Sweden with leadership of Gunilla Zachrisson, my supervisor, to whom I should give an immense thank you due to her kind guidance on each phase of project and for her valuable supports on the implementation of improvements. I am also thankful to my manager, Matthew Crockett, who also made me feel welcomed at Ericsson AB Lindholmen. A big thanks is also directed to my supervisor at Halmstad University, Tony Larsson, for pointing me in the right direction and for the feedback regarding the performance of the project. I would also like to use this opportunity to thank Colin Taylor and Daniel Nilsson and all other colleagues at Ericsson, for interrupting their busy schedules in order to provide me with their technical feedback and experience. -