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As Bell examined the graphs, she noticed strange, inexplicable, extremely regular sequences of pulses A radio source, having a sharply defined location in the sky, was emitting the bursts of energy at precise intervals Scintillations caused by interstellar gas-and-dust clouds or by other natural effects were never so well timed Neither Bell nor Hewish seriously believed that the pulses came from intelligent beings, but when the news of their discovery leaked out, certain people in the media immediately began spreading stories to the effect that the astronomers had received signals from an extraterrestrial civilization The phenomenon was even given a tongue-in-cheek code name: LGM, an abbreviation for little green men The radio source itself was called a pulsar and was given the designation CP1919, short for Cambridge pulsar at right ascension 19 hours, 19 minutes Before the results of their discovery could be released, Bell and Hewish had to be sure that the signals were coming from space and were not some form of Earthly radio interference The position of the pulsar remained at RA 19 h 19 min and was fixed with respect to the stars, moving across the sky with them as the Earth rotated on its axis Other tests were conducted to rule out the possibility that some internal combustion engine or electronic device was causing the signals, but the conclusion was inescapable: They were coming from somewhere in deep space, beyond the Solar System At the same time, tests were conducted in an attempt to find out if the signals were coming from a planet orbiting a star In such a case, a Doppler shift would occur as the planet first moved away from the Solar System and then toward it in its circumnavigation of its parent star (Fig 14-4) This

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You can put more than one ContentPlaceHolder control on a master page (each has its own ID). This gives you tremendous flexibility in laying out your pages, though experience shows that the majority of sites actually use only a single contentPlaceHolder per Master Page.

Receding (interval longer)

.

Orbit of planet with pulsar Approaching (interval shorter)

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OLTP workloads have a concept of active data, or the working set, which basically is the portion of the data that will be actively accessed for the majority of the time, as opposed to the size of the entire data stored in the database If this working set can be stored in some sort of cache or main memory, then the I/O performance will be extremely fast, since the data is accessed from the cache Depending on the underlying technology used for the cache, the speed-up can be 20 to 100 times faster than fetching the same data from the hard disks As discussed in s 3 and 5, the flash cards in the Exadata Storage Servers are configured as Flash Cache by default The Exadata Flash Cache is utilized by the sophisticated, database-aware, LRU-like caching algorithm, which results in the most-used blocks staying pinned in the Flash Cache The total uncompressed usable data capacity available in a full rack containing HC-SAS drives is about 45TB, and the total capacity of Flash Cache is 53TB, which translates to about 12 percent of the user data capacity Based on this calculation, if the working set of an OLTP system is less than 12 percent, most of the working set can potentially be stored in Flash Cache When the read I/O requests are targeted on the working set, the Exadata Storage Servers will perform the I/O using the Flash Cache rather than the hard disks Exadata Flash Cache IOPS performance is 20 times faster than hard disks and MBPS performance is 2 times faster than hard disks, which will enable the Exadata Storage Servers to deliver extreme improvement in performance when the data is accessed from the Flash Cache NOTE The effective capacity of Flash Cache can be increased tremendously by using EHCC or OLTP compression For example, an EHCC compressed table with a 10 compression factor will store about 53TB of uncompressed user data into 53TB of Flash Cache The benefits of Flash Cache can be factored in when sizing for performance However, this is not an easy task, since the size of the working set is hard to calculate and you can only go with assumptions A few studies suggest that the typical working set for OLTP systems is about 10 percent of the total data size, and if you go with this, the Exadata Flash Cache should be able to hold a typical working set quite comfortably.

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