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Note the relative positions among different technologies. In particular, clustering, the technology that is most commonly associated with increasing availability, is at Level 8. Attempting to start your efforts to increase availability with clustering and without the underlying levels in place is like starting to build a skyscraper on the eighth floor. It simply will not stand. The Availability Index is the single most important graphic in this book. Beginning with 5, we have arranged the remaining chapters in the order in which the technologies appear on the Index, and we will use the Index as an introductory graphic to those chapters to indicate where on the layer of technologies the following chapter falls. Successive chapters will be higher on the Index than previous ones. Some levels require more than one chapter. Use the Index and the associated chapters ordering to help determine how highly available your systems need to be.



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The latter results can be used for the approximation of higher moments of the sojourn time distribution. 6.3.4 The M=G=1 LCFS-PR Queue

Figure 3.4 shows a simple timeline. The bolt of lightning at time T1 is used to indicate that Something Bad has happened, usually a component failure, that can cause some system downtime. Since we are maintaining our end-to-end approach to availability, it does not matter which component fails for the general case; it could be a network card, a disk, a whole system, a network, an application, or any other critical component whose failure will cause an interruption in service.





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In Section 6.2.4 we have observed that the sojourn time SL in the M =G=1 LCFS-PR queue has the same distribution as the M =G=1 busy period. We now concentrate on the latter quantity. Denote, for the M =G=1 queue, by P v the rst entrance time of the workload process into the zero state, starting with a workload v. P v is usually called the busy period with initial workload v. Obviously P 0 0 and P v > 0 for v > 0. Let P1 ; P2 ; . . . be i.i.d. stochastic variables with distribution that of the busy period of the M =G=1 queue. Let K v be the number of arrivals in an interval of length v, as de ned above. Then P 0 0 and P v v P1 PK v Hence for Re s ! 0, with I an indicator function, E e sP v I v 0 I v>0 e sv

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Crispin s job is to support the regional hubs and their individual country operations. He immediately grasped the implications of social media to search. At the start of 2008, he relates, we realized halfway through our organic search project that we needed to in uence social media to support our rankings. Nobody else was doing it so we jumped in headlong. And rst thing we did was deploy the AddThis (www.addthis.com) functionality across pretty much every content page we have. It pops up all the Facebook, Twitter, Digg This, Reddit little check-it buttons. Crispin tells it this way: We started measuring and reporting out on the usage of that button. How many people were sharing or bookmarking content, and what kind of content they were sharing and bookmarking. Everything else that we had seen before or shared before in terms of metrics around search was really focused on our very key top level pages. We found that deeper-level pages that focused on demos or even things that focused on community were getting the most sharing activity. Previously, it hadn t registered that there was so much interest in these deep, fairly shallowly-traf cked pages. There was some heat spots amongst those deeper pages that I think people were unaware of that we ve now brought to life. So we have been able to focus the content organization on pages that would otherwise have been considered lowpriority. Content that gets less traf c but higher social sharing attention becomes the focus of keyword

When the lightning bolt strikes at T1, that is the beginning of the outage. The duration and effect of the outage will be determined by the nature of the outage and by the protective technologies that have been put into place to attempt to keep the systems running. As a result of the component failure, an outage begins that lasts until T2, as shown in Figure 3.5. One of the main objectives of designing a highly available system, and probably the most obvious, is to reduce the duration of this downtime. The acceptable amount of downtime is formally called the Recovery Time Objective, or RTO. The recovery time is a function of both the type of outage that occurs as well as the technologies that are in place to protect against it.

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