Page 33 - How Cloud Computing Is Transforming Business and Why You Cant Afford to Be Left Behind
P. 33

THE C L O UD REV O L UTION



                     These data centers on the network foster new kinds of soft-
                 ware that in themselves are marvels of recent engineering.
                 With the Hadoop cloud-based data engine, data is lifted off
                 hundreds or thousands of disk drives in parallel without
                 “thrashing” the drive spindles—that is, forcing the drive heads
                 to move this way and that in the struggle to collect data from a

                 spinning disk. Drive thrashing is how enterprise databases
                 work, but it’s much too time-consuming for the cloud. With
                 Google Maps, an image of a particular place is offered on the
                 screen before us, and as we move the cursor, the map extends
                 in front of us as if it has no edge, no boundary. By following
                 the cursor, we can travel as far as we wish. Somewhere in the
                 Google data center, a sensor sees the direction of the cursor

                 and anticipates the data that we’ll need next, preloading it
                 into the browser. In the cloud, the illusion of an endless re-
                 source somehow becomes a reality. Other systems can’t do it,
                 but the cloud can map to the ends of the earth.



                 The Shifting Boundary: Illusion versus Reality

                 So how much of the cloud is real and how much is illusion? It’s
                 the Internet that gives us a sense of connectedness and reach.

                 That was true before the term cloud computing came to the
                 fore. The Internet plus big data centers somehow still does
                 not equal the cloud. What is it about the cloud that intrigues
                 even otherwise worldly technologists? What is the break-
                 through that everybody is talking about? That’s what this book
                 attempts to answer.





                                                                      13
   28   29   30   31   32   33   34   35   36   37   38