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The type of service field requests that a specific level of service be offered to the datagram Some applications may require quick responses to reduce network delays, greater reliability, or higher throughput The total length field states the total length of the datagram (including both header and data) A maximum value of 65,536 bytes is usually imposed, but many networks may only support smaller sizes All networks are guaranteed to support a minimum of 576 bytes The identification field allows datagrams that are part of a sequence to be uniquely identified This field can be thought of as a sequence number, allowing ordering of datagrams that arrive out of sequence Sometimes when packets are sent between network gateways, one gate-way will support only smaller packets The flags field controls whether these datagrams may be fragmented (sent as smaller pieces and later reassembled) Fields marked "do not fragment" are discarded and are undeliverable As datagrams are routed across the Internet, congestion throughout the network or faults in intermediate gateways may cause a datagram to be routed through long and winding paths So that datagrams don't get caught in infinite loops and congest the network even further, the time-to-live counter (TTL) field is included The value of this field is decremented every time it is routed by a gateway, and when it reaches zero the datagram is discarded It can be thought of as a self-destruct mechanism to prevent network overload The protocol type field identifies the transport level protocol that is using a datagram for information transmission Higher-level transport protocols rely on IP for sending messages across a network Each transport protocol has a unique protocol number, defined in RFC 790 For example, if TCP is used, the protocol field will have a value of 6 To safeguard against incorrect transmission of a datagram, a header checksum is used to detect whether data has been scrambled If any of the bits within the header have been modified in transit, the checksum is designed o detect this, and the datagram is discarded Not only can datagrams become lost if their TTL reaches zero, they can also fail to reach their destination if an error occurs in transmission The next two fields contain addressing information The source IP address field and destination IP address fields are stored as two separate 32-bit values Note that there is no authentication mechanism to prove that a datagram originated from the specified source address Though not common, it is possible to use the technique of "IP spoofing" to make it appear that a datagram originated from a specific address, such as a trusted host The final field within the datagram header is an optional field that is not always present The datagram options field is of variable length, and contains flags to control security settings, routing information, and time stamping of individual datagrams The length of the options field must be a multiple of 32 if not, extra bits are added as padding IP Address The addressing of IP datagrams is an important issue, as applications require a way to deliver packets to specific machines and to identify the sender Each host machine under the Internet Protocol has a unique address, the IP address The IP address is a four-byte (32-bit) address, which is usually expressed in dotted decimal format (eg, 19216806) Although a physical address will normally be issued to a machine, once outside the local network in which it resides, the physical address is not very useful Even if somehow every machine could be located by its physical address, if the address changed for any.

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The Transmission Control Protocol is discussed further in 6 TCP's main advantage is that it guarantees delivery and ordering of data, providing a simpler programming interface However, this simplicity comes at a cost, reducing network performance For faster communication, the User Datagram Protocol may be used 1514 User Datagram Protocol The User Datagram Protocol (UDP) is a Layer 4 protocol (transport layer) that applications can use to send packets of data across the Internet (as opposed to TCP, which sends a sequence of bytes) Raw access to IP datagrams is not very useful, as there is no easy way to determine which application a packet is for Like TCP, UDP supports a port number, so it can be used to send datagrams to specific applications and services Unlike TCP, UDP does not guarantee delivery of packets, or that they will arrive in the correct order In fact, UDP differs very little from IP datagrams, save for the introduction of a port number It may seem puzzling why anyone would want to use an unreliable packet delivery system The additional error checking of TCP adds overhead and delays, so UDP might be seen to offer better performance The pros and cons of UDP are discussed further in 5, but for now, it is sufficient to realize that error-free transmission comes t a cost, and UDP can be used as an alternative.

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In the special circuits such as fan-out-free circuits, faults nd errors are in one-to-one correspondence That is, single faults always cause single errors However, in other circuits, in general, single faults may cause multiple errors This depends on the circuit s structure Therefore in this section the faults in the set F are de ned as those that cause detectable errors That is, if the checker, or the encoded output of the circuit under check (CUC) has single-error detection capability, then we can detect faults that cause single errors at the CUC output, and F consists of only such faults Considerable research appears on error detection / correction in ALU Earlier work on application of simple parity-check codes and residue codes to ALU includes [GARN58, GARN59, GARN66, PETE58, PETE59, BROW60, RAO68b, GADD70].

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Extended residue codes such as AN codes [RAO74], multiresidue codes [RAO70, RAO71, MAND72], systematic AN codes [RAO72], and byte-error correcting AN codes [NEUM75], effective parity prediction methods [SELL68], and alternate data retry (ADR) methods [SHED78] for application to adder, multiplier, divider, and general logic have been extensively studied [KHOD79, TAKE80, FUJI81, PATE83, FURU83a, FURU83b, FURU83c, HUAN84, TOHM86] In other important works, checksum codes [WAKE76] and combination codes using both parity checks and residue checks [RAO77] have been proposed for byte error detection in adders and cost-effective error detection / correction in ALU, respectively Effective methods using Reed-Muller codes [PRAD72a, PRAD72b, PRAD74] and residue codes [MONT72] have been proposed for checking errors in logical operations as well as in arithmetic operations Below we study error detection mechanism for adders and ALUs [OBER79] using simple parity-check codes and checksum codes 123.

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1 Parity-Checked Adder The adders considered here add two operands A and B together to give a resultant sum S The addition is done on a bit-by-bit basis The sum bit si for the i-th stage depends not only on the input bits ai and bi for that stage but also on the carry ci 1 from the previous stage Below we study error detection mechanism for adders and ALUs [OBER79] using simple parity-check codes and checksum codes 1231 Parity-Checked Adder The adders considered here add two operands A and B together to give a resultant sum S The addition is done on a bit-by-bit basis The sum bit si for the i-th stage depends not only on the input bits ai and bi for that stage but also on the carry ci 1 from the previous stage Form qrcode generationon net using barcode encoder for web .

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barcode library with net using barcode encoder for visual net crystal control to generate, create barcode 3 of image in visual studio net crystal applications Error Detecting Codes Error detecting codes typically deal with simple parity- check codes, cyclic codes, checksum codes, and ther basic linear codes, as will be explained in Section 23 Some further important and newly developed codes will be presented in later chapters The application of error detecting codes in online operations is also called checking or an online testing The error detection circuit is denoted as a checker These applications will be examined in-depth in Section 121 where the self-checking concept is presented Additional topics on how to detect errors caused by faults in the checker itself and how to design such checkers are covered in Section 122 where self-testing checkers are discussed.

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In summary, 12 covers error-checking concepts, self-testing checker design methodologies, and concrete checker design for logic circuits and for computer systems Watchdog Timer and Watchdog Processor A watchdog timer is very useful for detecting faults in a system The idea behind this scheme is that some part of the system should act to indicate fault-free status so that absence of this action is indicative of a fault Also the timer must be repeatedly reset by the system Failure of the system to perform the reset function results in the system being turned off to prevent a system failure from occurring A watchdog timer can be used to detect faults in both the hardware and the software of a system In many applications software routines are expected to execute within prespeci ed time frame In digital control systems, for example, the routines execute repetitively at speci ed intervals.

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If a routine suddenly needs more than the expected time to execute, the fault may be in the software s, for example, in nite loop [JOHN89] In this regard the watchdog timer is an important control ow check tool A watchdog processor is an extension of the concept of a watchdog timer This is a special subprocessor that checks the online operations of the processor being checked The watchdog processor runs the watchdog programs that collect information from the processor being checked and generate signatures, such as address and data information, and processor state information, during online operations The new information is then compared to that already prepared in the watchdog program 132 Error Recovery / Error MaskingRelated: .

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