Cloud Computing is Maturing Quickly Cloud Computing

Cloud computing today is roughly at the stage that the World Wide Web was 15 years ago, but it’s maturing at an even more rapid pace.

“Cloud computing is all the rage,” wrote InfoWeek in April 2008. Indeed it is. “Some analysts and vendors,” they say, “define cloud computing narrowly as an updated version of utility computing: basically virtual servers available over the Internet. Others go very broad, arguing that “anything you consume outside the firewall is ‘in the cloud,’ including conventional outsourcing,” Naturally, those who don’t have a real cloud computing offering (the “have nots”), but still want to be considered chic go with the InfoWeek’s broader definition.

I prefer to define cloud computing as highly scalable, secure, reliable, distributed services, available on a “pay-as-you-go” basis, what I like to call “rent-a-cloud.”

Cloud Computing is Not a New Concept
The notion of cloud computing is certainly not new. In his 2003 biography, Dr. Jack B. Dennis, Emeritus Professor of Computer Science and Engineering at MIT (and MIT Class of ‘53), a pioneer in the development of computer science wrote:

In 1960, Professor John McCarthy, now at Stanford University and known for his contributions to artificial intelligence, led the “Long Range Computer Study Group” (LRCSG) which proposed objectives for MIT’s future computer systems. I had the privilege of participating in the work of the LRCSG, which led to Project MAC and the MULTICS computer and operating system, under the organizational leadership of Prof. Robert Fano and the technical guidance of Prof. Fernando Corbató.

Fernando J. Corbató (photo by Jason Dorfman, Creative Commons Attribution and ShareAlike licence).

Fernando J. Corbató (photo by Jason Dorfman, Creative Commons Attribution and ShareAlike licence).

Corbató is known for Corbató’s Law . which states:
The number of lines of code a programmer can write in a fixed period of time is the same, independent of the language used. Essentially, it holds that a programmer’s productivity is directly proportional to the productivity and economy of his tools.

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