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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition upward Over the (comparatively) long life of a distributed system, such unwanted information can grow without upper bound, taking up resources and compromising the performance of the overall system A standard way of dealing with these problems is to consider the cleanup of unused resources to be a system administration task When such resources begin to get scarce, a human administrator is given the task of finding resources that are no longer needed and deleting them This solution, however, is error prone (since the administrator is often required to judge the use of a resource with no actual evidence about whether or not the resource is being used) and tends to happen only when resource consumption has gotten out of hand When such resources are leased, however, this accumulation of out of date information does not occur, and resorting to manual cleanup methods is ot needed Information or resources that are leased remain in the system only as long as the lease for that information or resource is renewed Thus information that is forgotten (through either program error, inadvertence, or system crash) will be deleted after some finite time Note that this is not the same as garbage collection (although it is related in that it has to do with freeing up resources), since the information that is leased is not of the sort that would generally have any active reference to it Rather, this is information that is stored for (possible) later retrieval but is no longer of any interest to the party that originally stored the information This model of persistence is one that requires renewed proof of interest to maintain the persistence Information is kept (and resources used) only as long as someone claims that the information is of interest (a claim that is shown by the act of renewing the lease) The interval for which the resource may be consumed without a proof of interest can vary, and is subject to negotiation by the party storing the information (which has expectations for how long it will be interested in the information) and the party in which the information is stored (which has requirements on how long it is willing to store something without proof that some party is interested) The notion of persistence of information is not one of storing the information on stable storage (although it encompasses that notion) Persistent information, in this case, includes any information that has a lifetime longer than the lifetime of the process in which the request for storage originates Leasing also allows a form of programming in which the entity that reserves the information or resource is not the same as the entity that makes use of the information or resource In such a model, a resource can be reserved (leased) by an entity on the expectation that some other entity will use the resource over some period of time Rather than having to check back to see if the resource is used (or freed), a leased version of such a reservation allows the entity granted the lease to forget about the resource Whether used or not, the resource will be freed when the lease has expired Leasing such information storage introduces a programming paradigm that is an extension of the model used by most programmers today The current model is essentially one of infinite leasing, with information being removed from persistent stores only by the active deletion of such information Databases and filesystems are perhaps the best known exemplars of such stores both hold any information placed in them until the information is explicitly deleted by some user or program LE12 Goals and Requirements The requirements of this set of interfaces are: To provide a simple way of indicating time based resource allocation or reservation To provide a uniform way of renewing and cancelling leases To show common patterns of use for interfaces using this set of interfaces The goals of this chapter are: To describe the notion of a lease and show some of the applications of that notion in distributed computing To show the way in which this notion is used in a distributed system LE1 Introduction 92.

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O'Reilly Network Safari Bookshelf Jini Specifications, The, Second Edition upward Over the (comparatively) long life of a distributed system, such unwanted information can grow without upper bound, taking up resources and compromising the performance of the overall system A standard way of dealing with these problems is to consider the cleanup of unused resources to be a system administration task When such resources begin to get scarce, a human administrator is given the task of finding resources that are no longer needed and deleting them This solution, however, is error prone (since the administrator is often required to judge the use of a resource with no actual evidence about whether or not the resource is being used) and tends to happen only when resource consumption has gotten out of hand When such resources are leased, however, this accumulation of out of date information does not occur, and resorting to manual cleanup methods is not needed Information or resources that are leased remain in the system only as long as the lease for that information or resource is renewed Thus information that is forgotten (through either program error, inadvertence, or system crash) will be deleted after some finite time Note that this is not the same as garbage collection (although it is related in that it has to do with freeing up resources), since the information that is leased is not of the sort that would generally have any active reference to it Rather, this is information that is stored for (possible) later retrieval but is no longer of any interest to the party that originally stored the information This model of persistence is one that requires renewed proof of interest to maintain the persistence Information is kept (and resources used) only as long as someone claims that the information is of interest (a claim that is shown by the act of renewing the lease) The interval for which the resource may be consumed without a proof of interest can vary, and is subject to negotiation by the party storing the information (which has expectations for how long it will be interested in the information) and the party in which the information is stored (which has requirements on how long it is willing to store something without proof that some party is interested The notion of persistence of information is not one of storing the information on stable storage (although it encompasses that notion) Persistent information, in this case, includes any information that has a lifetime longer than the lifetime of the process in which the request for storage originates Leasing also allows a form of programming in which the entity that reserves the information or resource is not the same as the entity that makes use of the information or resource In such a model, a resource can be reserved (leased) by an entity on the expectation that some other entity will use the resource over some period of time Rather than having to check back to see if the resource is used (or freed), a leased version of such a reservation allows the entity granted the lease to forget about the resource Whether used or not, the resource will be freed when the lease has expired Leasing such information storage introduces a programming paradigm that is an extension of the model used by most programmers today The current model is essentially one of infinite leasing, with information being removed from persistent stores only by the active deletion of such information Databases and filesystems are perhaps the best known exemplars of such stores both hold any information placed in them until the information is explicitly deleted by some user or program LE12 Goals and Requirements The requirements of this set of interfaces are: To provide a simple way of indicating time based resource allocation or reservation To provide a uniform way of renewing and cancelling leases To show common patterns of use for interfaces using this set of interfaces The goals of this chapter are: To describe the notion of a lease and show some of the applications of that notion in distributed computing To show the way in which this notion is used in a distributed system LE1 Introduction 92.

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Format Binary Binary Binary Binary Plain text Plain text XML XML XML Reader/Writer Pickle (gzip compressed) Pickle Manual (gzip compressed) Manual Regex reader/manual writer Manual Element tree DOM SAX reader/manual writer Reader Writer Lines of Code 20 + 16 20 + 16 60 + 34 60 + 34 39 + 28 53 + 28 37 + 27 44 + 36 55 + 37 Total Lines of Code = = = = = = = = = 36 36 94 94 67 81 64 80 92. Bar Code Generator In Java Using Barcode drawer for .Related: Print Barcode .NET Winforms C# , .NET Winforms Barcode Generator , VB.NET Winforms Barcode Generator

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SECURITY Denso QR Bar Code barcode library with c# The challenge may be derived either from a real-time clock reading, in which case it is called a timestamp, from a counter that is incremented for every protocol execution, or from a random number generator, in which case t is called a nonce In any case, a new challenge (timestamp, counter value or nonce) is generated for each protocol run With timestamps, the user being authenticated, A, enciphers the current reading of its clock and sends the result to the party requesting the authentication B B then deciphers the received message, and veri es that the timestamp corresponds to the current realtime The drawback of timestamps is thus immediately apparent A and B must have synchronized real-time clocks for the veri cation to be possible.

12 raspail-ip2eurogatenet (19420620757) 93 ms 95 ms 97 ms 13 19420620717 (19420620717) 200 ms 94 ms 209 ms 14 stamand1renaterftnet (1929343185) 105 ms 101 ms 105 ms 15 stlambertrerifftnet (1929343117) 108 ms 102 ms 95 ms 16 danton1rerifftnet (193485350) 110 ms 97 ms 91 ms 17 u-jussieu-parisrerifftnet (1934858122) 94 ms 96 ms 100 ms 18 r-jusrenreseaujussieufr (1924454126) 100 ms 94 ms 100 ms 19 r-ibpreseaujussieufr (134157254250) 96 ms 100 ms 94 ms 20 masiibpfr (1322276023) 121 ms 100 ms 97 ms 21 * dianeibpfr (1322276448) 105 ms 102 ms In the bove trace there are no routers between the source and the destination Most of these routers have a name, and all of them have addresses For example, the name of router 8 is sl-dc-6-H2/0-T3sprintlink net and its address is 1442281033 Looking at the data provided for this same router, we see that in the first of the three trials the roundtrip delay between the source and the router 8 was 19 msec The roundtrip delays for the subsequent two trials were 18 and 24 msec These roundtrip delays include packet propagation delays, router processing delays, and queueing delays due to congestion in the Internet Because the congestion is varying with time, the roundtrip delay to a router n can actually be longer than the roundtrip delay to router n+1 Note in the above example that there is a big jump in the round-trip delay when going from router 10 to router 11 This is because the link between routers 10 and 11 is a transatlantic link Want to try out traceroute from some other starting points besides Tel-Aviv and Dana Point Then visit Yahoo's List of sites offering route tracing References [RFC 1393] G Malkin, "Traceroute Using an IP Option," RFC 1393, January 1993.

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However, since clocks can never be perfectly synchronized and messages take time to travel across networks anyway, B cannot expect that the deciphered timestamp received from A will ever be equal to its own real-time clock reading A s time-stamp at best can (and normally should) be within some limited time window of B s real-time clock However, as soon as a time window of tolerance is de ned, a potential intruder could exploit it to impersonate A by replaying one of A s recent authentication messages within that time window Preventing this requires putting a limit to the number of authentication protocol runs allowable during the time window, and having B save all the authentication messages within the window Thus, both ef ciency and security require pretty good clock synchronization.

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