In our recent post Reaching For The Sky Through Compute Clouds we talked about how commodity cloud computing is changing the way we deliver large-scale web applications. Massively parallel, cheap cloud computing reduces both costs and time to market.
Cloud computing grew out of parallel computing, a concept that many problems can be solved faster by running the computations in parallel.
After parallel algorithms came grid computing, which ran parallel computations on idle desktops. One of the first examples was SETI@home project out of Berkley, which used spare CPU cycles to crunch data coming from space. Grid computing is widely adopted by financial companies, which run massive risk calculations. The concept of under-utilized resources, together with the rise of J2EE platform, gave rise to the precursor of cloud computing: application server virtualization. The idea was to run applications on demand and change what is available depending on the time of day and user activity.
Today's most vivid example of cloud computing is Amazon Web Services, a package available via API. Amazon's offering includes a cloud service (EC2), a database for storing and serving large media files (S3), an indexing service (SimpleDB), and the Queue service (SQS). These first blocks already empower an unprecedented way of doing large-scale computing, and surely the best is yet to come.
No comments:
Post a Comment