Currently browsing tag

Cloud Computing

Web X.0

Current results from Data Survey #1: Data Scientists. Thanks to everyone for helping the world understand Big Data better!

Please take the following 2-minute survey to help us understand your hadoop environment better.

Summary

  • Web 1.0 is about 1-way information sharing.
  • Web 2.0 is about bi-directional participation and collaboration.
  • Web 3.0 is about the semantic web and ubiquitous computing.
  • Enterprises always lag behind consumer adoption on all leading web technologies.
  • There’s a long overlapping period between each of these phases due to the laggards.

Long Version

Web 1.0 is about information sharing. Web sites are built and information are put up. Usually web 1.0 has the “build it and they will come” type of mentality, and it’s mostly a one way communication. The poster children of Web 1.0 are companies like Yahoo, Ebay and Amazon.

Web 2.0 is about participation and collaboration; it’s about bi-directional communication. Social media such as blogs, wikis, and forums are huge in the Web 2.0 era. Post children of Web 2.0 are Wikipedia, Facebook, and MySpace. Web 2.0 has the “build it and encourage others to come and participate” mentality. The expectation of “they will come” is not as prominent. Most of these sites work hard to create a core community and get others to join.

Notice how both 1.0 and 2.0 are both about users going to these sites. These sites require users to fill in their profiles, browse around and understand what the site is all about. In essence, these site require the users to understand the web and go to the web.

Web 3.0 is going to change that. The notion of Semantic Web, which was first described by Tim-Berners Lee, is about having the web understand its users and go to the users, wherever they are and whatever they are using (Ubiquitous Computing). The web will carry enough meta data so that it’s self-describing. The web will know where its users are (by communicating with the devices that the users are carrying wherever they go.) The web can go to the users and present/share the relevant information and allow the users to collaborate and participate with the web as well as other users.

The technologies behind Web 3.0 are quite long, including different ways to describe the web (RDF, OWL, etc), different ways to connect and locality awareness (cell phone, portal computing devices, etc), cloud or web services (cloud computing, SaaS), etc. The piece that’s not as well understood and developed is the Semantic Web. It will be a while before websites will start describing their information in a structured manner.

Like most trends, leading edge technology will first be used in the consumer space, then slowly migrate to the enterprises. So there’s usually a pretty long overlapping period between the X.0 phases. For example, universities and consumers started building websites way before the enterprises realize the benefit of using the web to communicate. Same as Web 2.0, the collaboration tools such as blogs, wikis, forums, communities are first popularized in the consumer world, and it’s just now that enterprises are starting to adopt them. This enterprise adoption trend is referred to as Enterprise 2.0.

This again will happen with 3.0. The consumer space is now attempting to to do a lot of mobile computing, which is the start of ubiquitous computing. Cloud computing and SaaS have also been more prevalent in the consumer space. For example, Facebook, Google and others have been offering web-based services for sometime now. The enterprise space are just now starting to wake up to it. Some of the key obstacles to enterprise adoption are data governance, SLA and integration issues. However, companies like Salesforce.com are trying to change that.

Cloud Computing in the Enterprise

Current results from Data Survey #1: Data Scientists. Thanks to everyone for helping the world understand Big Data better!

Please take the following 2-minute survey to help us understand your hadoop environment better.

[ Via @yarapavan ]

Laird OnDemand: Visual Map of the Cloud Computing/SaaS/PaaS Markets: September 2008 Update

Current results from Data Survey #1: Data Scientists. Thanks to everyone for helping the world understand Big Data better!

Please take the following 2-minute survey to help us understand your hadoop environment better.

Peter’s did it again! Peter has updated his cloud computing taxonomy. Check his site for continual updates as I am sure there will be additions as companies find that they are not on the list. :)

byteonic.com » The Platform as a Service (PaaS) Landscape, PaaS in the Enterprise

Current results from Data Survey #1: Data Scientists. Thanks to everyone for helping the world understand Big Data better!

Please take the following 2-minute survey to help us understand your hadoop environment better.

Anand Ganesan from byteonic has written a good post on PaaS: The Platform as a Service (PaaS) Landscape, PaaS in the Enterprise.

Cloud Computing Expo 2009 East Call for Papers Deadline October 15, 2008

Current results from Data Survey #1: Data Scientists. Thanks to everyone for helping the world understand Big Data better!

Please take the following 2-minute survey to help us understand your hadoop environment better.

The Cloud Computing Expo 2009 East, to be held March 22-24, 2009, in New York City, announces that its Call for Papers is now open. Topics include all aspects of providing or using massively scalable IT-related capabilities as a service using Internet technologies (see suggested topics below).

Merrill Lynch analysts estimate that by 2011 the volume of Cloud Computing market opportunity will amount to $160BN, including $95N in business and productivity apps (e-mail, office, CRM, etc.) and $65BN in online advertising.

Help plant your flag in the fast-expanding business opportunity that is The Cloud: submit your speaking proposal today!

Help with that transformation: submit your speaking proposal today.

Topics will include:

  • SaaS, PaaS, and IaaS
  • Automation
  • Grid Software
  • Elastic Computing
  • Cloud Databases
  • Scalability
  • Fabric Computing
  • Cloudstorming
  • Green IT
  • High-Performance Computing
  • Service Management
  • Web-scale Computing
  • Cloud Standards
  • Cloud Reliability & Security
  • Private Cloud Computing
  • Internal Clouds

Google Group Discussion on “Private” Clouds

Current results from Data Survey #1: Data Scientists. Thanks to everyone for helping the world understand Big Data better!

Please take the following 2-minute survey to help us understand your hadoop environment better.

I asked a totally unrelated question on the Cloud Computing google group a few days ago and triggered a very active discussion on where “private” cloud is an oxymoron or not.

[ Please let me know if I am taking any of the quotes blow out of context. ]

Ben Yamin called “private cloud computing a paradoxical phenomenon” and Ray Nugent called it an “oxymoron.” But even Ray agrees that many of his customers are asking about it,

Correct me if I’m wrong but most, if not all, of what I’m hearing from customers is around how to take AWS like services and tuck them within the four walls of their enterprise to somehow get economies of scale, lower costs and quicker scale/customer service to their constituents. Therein lay the Foggy part…

Rich Wellner agrees that we should “not care so much what things are called as much as what they do,” so he explained that “private” clouds does exist based on the list of attributes he’s compiled:

1) Multiple vendors accessible through open standards and not centrally
administered

2) Non-trivial QOS (see the gmail debate thread)

3) On demand provisioning

4) Virtualization

5) The ability for one company to use anothers resources (e.g. bobco
using ec2)

6) Discoverability across multiple administrative domains (e.g. brokering to multiple cloud vendors)

7) Data storage
8) Per usage billing

9) Resource metering and basic analytics

10) Access to the data could me bandwidth/latency limitations, security,

11) Compliance – Architecture/implementation, Audit, verification

12) Policy based access – to data, applications and visibility

13) Security not only for data but also for applications

Now here we start to see some things that aren’t applicable to enterprise clouds (i.e. 1, 5, 6). But the bulk of the list still works. And it’s worth noting that EC2 fails on more than three of those things (i.e. 1, 11, 12, 13), but people don’t hesitate to allow them the use of the term cloud.

I think Jim Starkey from NimbusDB summed it up best,

As I understand it, if you use Amazon EC2, it is cloud computing. But if Amazon itself uses EC2, it’s only fog computing. Or maybe (shudder) internal cloud computing. This is, of course, utter nonsense.

Laurent Therond also brought up an interesting point,

Amazon and Google would love for external entities to cofinance their clouds, because they own the infrastructure *and* they actually use it to run their own affairs. On the other hand, if you were to offer them to migrate their mission critical systems to some other Cloud Computing vendor (let’s assume you could find one up to the task), they would laugh at you loudly.

I am quite happy to see this level of discussion on this. My stand on this is quite clear and explained here.