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For example, in Tuan and Park [68] a TCP connection's interaction with other traf c ows at bottleneck routers and the consequent impact on its output behavior observable at the sender is used to infer the contention level at bottleneck routers That is, no separate probing mechanism is engaged to estimate network state The effectiveness of this minimally intrusive scheme is shown to be dependent on the tracking ability of the underlying feedback control [68]; state estimation suffers most heavily during the linear increase phase after backoff, which results in better tracking performance for TCP Vegas over TCP Reno Inference can be performed by other means including arrival behavior of ACK packets, and further exploration of effective measurement schemes is of interest.



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Once the system and storage teams have completed their tasks, the applications team takes over and works to get databases and other applications back online Data Management Team This group is responsible for getting data restored to the systems where it is needed, and for physically managing backup tapes They are responsible for making sure that the tapes make it to the DR site after the disaster Vendor Contact Team This team is responsible for contacting all of the enterprise s vendors and maintaining that contact as necessary throughout the recovery period All requests for vendor contacts from any of the computer recovery teams, or any other recovery team, should be funneled through the vendor contact team Damage Assessment and Salvage Team.





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When explicit probing is employed, the question arises as to how to perform accurate sampling and estimation of network state without signi cantly affecting Schrodin ger's cat in the process Accurate sampling is made dif cult by the slow convergence properties of self-similar traf c, and trade-offs between accuracy and probing duration can bene t from further investigation (also relevant to measurementbased admission control [36]) 2142 Open-loop Control and Resource Provisioning.

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Resource Reservation and Admission Control The performance analysis techniques and issues discussed in Section 21.3 have direct bearing on the ability to compute performance bounds for routers fed with self-similar input, estimation of effective bandwidth and statistical multiplexing gain, bandwidth and buffer capacity dimensioning=provisioning, and admission control. 19 presents a speci c open-loop architecture based on per-VC framing, and 16 discusses design and performance evaluation considerations of open-loop architectures under selfsimilar traf c conditions. The same observations regarding the need for nitary analysis, incorporation of second-order performance measures, relative impact of short-range and long-range correlation structure, and in uence of scheduling advanced in Section 21.3 hold for the resource provisioning context. Similarly, the small buffer=large bandwidth resource provisioning strategy is expected to play a dominant role in facilitating guaranteed services deterministic or statistical in the context of open-loop control. Dynamic Admission Control In resource provisioning, admission control is exercised in a static manner, where the set of connections requesting service is

Depending on the nature of the disaster, this team might spend its time back at the site of the disaster, trying to determine the state of the original site, or trying to salvage any equipment or data that might be salvageable This group would also be responsible for signage, and for roping off areas of the facility that may be dangerous or inaccessible Business Interface Team Lest we forget about the business (or primary function of the enterprise), a team must be designated that is responsible to the business itself to make sure that their needs are being met and their priorities are being addressed by the recovery efforts If the business is working to bring back a particular group first, then it is important that the business interface team be made aware of it so that the efforts in IT match the business s efforts.

sources of traf c, but they have the advantage of being simple and analytically more tractable than more general models. Our model stands halfway between the Boxma Dumas models [7] with nite sets of on=off sources and the very exciting model of Tsybakov et al. [8], which assumes a continuum of on=off sources from which ``on'' periods are activated according to a Poisson process. A last technical point: we don't use uid approximation in this chapter, although this feature has very interesting aspects.

At the same time, this team makes sure that the business folks don t interfere with IT s efforts The latter point is especially true when the businesspeople are former engineers who think they still know everything..

blogs, or millions of tweets and are convinced, it ll be time to come back here for a review of measuring the use of these tools for business.

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