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[42] explain the self-similar nature of Ethernet traf c observed on the packet level as the result of a superposition of many on=off sources (also referred to as packet trains [25]), where the lengths of the on and off periods are drawn from heavy-tailed distributions Paxson and Floyd [35] show that wide-area network (WAN) traf c at the packet level is of asymptotically self-similar nature, that is, self-similar behavior over large time scales They propose a structural model to explain the asymptotic self-similarity in terms of the characteristics of the main applications Their model is based on an M =G=I model originally due to Cox [9]: session arrivals are assumed to be Poisson or, more generally, of renewal-type; session duration (in seconds) or session size (in bytes) is required to be heavy tailed.



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Clients that set timeouts (or deadman timers) for some transactions may inadvertently abort transactions that are blocked by a large SELECT or other transaction that consumes most of the database engine s cycles Application developers may be tempted to break up the single large transaction into several smaller ones, performing part of the work in each transaction This attempt to break the logjam works well if you are certain that the other transactions are lookup- or read-oriented, and won t change data that impacts parts of the broken-up transaction that occur later in the overall timeline Part of the advantage of a single, large transaction is that you re guaranteed to have the database state remain consistent during the course of the entire work unit You need to manage your recovery time exposure against the smallest logical unit of work done by the application.





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Accordingly, traf c can be seen as the superposition of user activities that arrive according to a Poisson process but carry an amount of work that is drawn from a heavy-tailed distribution The authors nd that for wide-area traf c the arrival process of sessions is consistent with Poisson processes and that their durations are heavy tailed Park et al [36] and Crovella and Bestavros [8] showed a possible causal relationship between heavytailed transfer durations and le sizes on UNIX le systems 1522 Self-Similarity of Connection Arrival Processes.

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You want the right answer with the least application work, provided it gives you the right recovery window Replicated database systems also pose problems for client applications If a client is going to failover to a replicated system that uses a different IP address and hostname, it must know how to connect to that server Some application frameworks and client libraries support lists of IP address and hostname pairs that represent a search path for applications, giving them some of the benefits of the NFS client using replicated NFS servers with the automounter Many publish and subscribe state management systems use this technique to ensure that clients can find a valid, functioning server on the network even after a primary server has failed, without requiring IP address and hostname information to migrate (which might confuse the configuration of the state multicasting engine).

To be able to study the arrival process of sessions, Paxson and Floyd equate sessions with TCP connections of applications such as TELNET and FTP connections, which, at the time of the study (1995), were among the most popular applications on the

Finally, most database applications require a client login to authenticate the user to the database server Even if the client application reconnects after a server failure and restarts in-flight transactions, the additional step of logging in with a password makes the failover visible to the user If you can automate the authentication step, by using a tool like expect or by caching the user password in memory (encrypted, of course), then you can make databaseclient reconnection completely transparent to the user Even without a failover management system, this is a good developer practice, as it reduces the impact of server failures on the user community..

Internet They point out that other arrival processes including FTP DATA connection arrivals and SMTP connection arrivals are not consistent with Poisson processes A Poisson process arises when users initiate actions more or less independently While this may have been the case for FTP and TELNET sessions in 1995, the Internet has changed since then It has grown beyond expectation so that an enormous amount of information is available, and its dominant application is the World Wide Web (or the Web) The Web contributes more than half of the packets and more than two-thirds of all TCP connections to the traf c of commercial ISPs such as AT&T's WorldNet During a Web user session, a user is likely to download not just one single Web object, since most Web pages consist of 3 to 4 embedded images [4, 18], but also different Web pages.

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