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SAC (e Determination) 1 Let l L1 St P 2 Compute H E L2 jL1 l 8H 1 l H PrfL2 l H jL1 lg l l 3 Set E E H l Thus, the current traf c level St is normalized and mapped to the index l L1 St , which is then used to calculate the expectation of L2 conditioned on l H ; H The latter l is then nally used to index into a table E H is called the aggressiveness schedule l The intuition behind the aggressiveness schedule E is that if the expected future contention level is low (ie, H close to 1) then it is likely that applying a high level of l aggressiveness will pay off Conversely, if the expected future contention level is high (ie.



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, H near 8) then applying a low level of aggressiveness is called for One l schedule that we use is the inverse schedule, E H 1= H : l l Other schedules of interest include the threshold schedule with threshold y P 1; 8 and aggressiveness factor y*, where E y* if H y, and 0 otherwise l Table 181 shows the CondProb table for two runs corresponding to a 1:05 (top) and a 1:95 (bottom) traf c conditions The column containing hl has been omitted and the entries show actual relative frequencies rather than hlH counts for illustrative purposes Clearly, the conditional probability densities are skewed diagonally for a 1:05 traf c, whereas they are roughly invariant for a 1:95 traf c The expected future contention level H E L2 jL1 l and aggressiveness l schedule (inverse) are shown as separate columns.

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What if a failure occurs late at night in the middle of a long holiday weekend What happens when knowledgeable administrators abruptly leave the company How quickly can they be replaced and their replacements trained What happens during the interim What happens when the satellite that relays pages to pagers gets knocked out of orbit, as happened in 1996. (The resulting outage lasted several days.) What happens when procedures are not followed properly, and as a result, systems get damaged worse than before the alert What happens when your knowledgeable people cannot gain access to the servers, or cannot find the servers when a failure has occurred

For a 1:05 traf c, the expected future contention level E L2 j varies over a wide range, which is a direct consequence of the predictability that is, skewedness present in the correlation structure For a 1:95 traf c, however, E L2 j is fairly `` at,'' indicating that conditioning on the present does not aid signi cantly in predicting the future..

To this list, Jodi added the vagaries of measuring active content across disparate properties that are managed by human beings. It s not easy, she agreed. You run into the same issues that you have with standard web analytics; the domain doesn t always come through like you would expect it, the data doesn t always parse. There are, what I call environmental challenges where the API from the social network that s feeding data back to a service provider is changed without notice. We re in such early days that we don t always have world class teams in engineering and operations on every one of these social networking platforms. This market is rife with start-ups in college dorms, and functional genius and technical prowess do not necessarily come with engineering or business process rigor. They seldom have enterprise-level data centers providing solid, reliable platforms. And, smiles Jodi, they re scrappy. They like changing things on the y daily for fun. On your own web site, you can go down and work with IT and make sure things are tagged and standardized and noti ed. Here, there s such an incredible interdependency. But, she reassures me, with more large movie studios using widgets and the telecoms counting on widgets to help stay competitive, the infrastructure is getting much better. The technical side is discovering what works, and there are some generally accepted coding practices that developers know they have to live up to. It s early days but not for long.

Automatic failover software addresses these issues. It will respond automatically to a failure and respond in preprogrammed ways. It knows which host has failed and which hosts are eligible to take over for it. It can be used to identify loads across nodes in a large cluster and to determine which node is best able to handle the additional load that the downed resources will require.

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