Search: Google and the Multi-Cloud.

Search: Google and the Multi-Cloud.
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An article by Robert Perkins of USC (University of Southern California) depicts how “Google search has dramatically increased the number of locations around the world from which it serves client queries during the past 10 months—by some 600 percent. ”

“From October 2012 to late July 2013, the number of locations serving Google’s search infrastructure increased from a little less than 200 to a little more than 1400, and the number of ISPs grew from just over 100 to more than 850.”

The strategy aims to rely more on regional data centers which will in turn, query Google main data centers. Besides accuracy the main benefit of this two layer strategy is speed.

“The strategy seems to have benefits for web users, ISPs, and Google, according to the team. Users have a better web browsing experience, ISPs lower their operational costs by keeping more traffic local, and Google is able to deliver its content to users quicker.”

In the same topic, an article by Zhe Wu, Harsha V. Madhyastha also from USC, tackles the benefits of hosting a service on multiples clouds.

“One of the benefits of hosting a web service in the cloud is closer proximity to the end-user: as a cloud typically consists of multiple datacenters, located in different places, a webservice provider can serve each client from the physically-closest datacenter, hence reduce user-perceived latency. This paper now tells us that hosting a web service in multiple clouds can further improve this benefit: by switching from a single-cloud to a multi-cloud deployment, 20-50% of IP prefixes would reduce their latency to the closest datacenter by more than 20%.”

Robert Perkins – USC – Why Google’s rapid growth means faster search
Understanding the latency benefits of multi-cloud webservice deployments By:  Zhe Wu, Harsha V. Madhyastha Appears in:  CCR April 2013

Picture: Google Earth Application Maps Carbon’s Course by NASA Goddard Space Flight Center / FlickR