Saturday, May 11, 2013

[Gd] Find the hidden patterns with YouTube’s new Analytics API

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Google Developers Blog: Find the hidden patterns with YouTube’s new Analytics API

Author PhotoBy Ted Hamilton, YouTube Analytics

Cross-posted from the YouTube API Blog

Trying to figure out how YouTube’s one billion monthly users are interacting with your videos? Try the new YouTube Analytics API to get custom reports of the YouTube statistics you care about in a direct JSON or CSV response, perfect for dashboards and ad hoc reports.

The new API includes all the standard view and engagement metrics you would expect, including views, shares, and subscriber numbers. Compared to the previous Insight Data API, you also get:
  • Watch metrics: Track estimated minutes watched across channel, content owner, or video, and dive into the video details with average view time and average view percentage.
  • Earning performance metrics: Track estimated earnings (net revenue) from select advertising sources across your content.
  • Ad performance metrics: Break down video performance with monetized playbacks, ad impressions, gross revenue, and cost per impression reports.
  • Annotation metrics: Optimize overlays/annotations with click through and close rate metrics.
Client libraries and code samples
You’ll find client libraries for the languages you use most, with nine different languages available today. You can also make HTTP RESTful requests directly, and with our API Explorer, you can try out sample reports before writing any code.

Don’t write your code from scratch! Get started with code examples in Java, JavaScript, Python, and Ruby. If you want a step-by-step walkthrough of building a complete web application, have a look at our JavaScript exercise.

App examples
Check out some apps that are already using the API:

app screen shot

  • Next Big Sound provides analytics and insights for the music industry by tracking billions of social signals including YouTube. This enables record labels, artists, and band managers to make better decisions on everything from promotion strategies to tour locations.
  • vidIQ is an audience development suite that works with global brands to organically grow their views and subscribers. Their features include cross-platform social analytics, advanced comment management, SEO tools, social syndication and influencer identification.
app screen shot
  • Wizdeo’s WizTracker provides in-depth analysis of YouTube channels to help with cross promotion and video comparisons during their initial launch. Users get access to detailed analytics about views, subscriber engagement, traffic sources and demographics.
  • Vidyard is a video marketing platform. With powerful analytics, built-in marketing tools, and integration with key marketing automation platforms, Vidyard helps marketers drive results with video content.
app screen shot
Fullscreen is building a global network of YouTube channels with content creators and brands. Fullscreen provides a full suite of end-to-end YouTube tools and uses the new API for internal, business-intelligence tools.

Learn more
In addition to the documentation, check out our Analytics API playlist to make getting started even easier.



If your goal is to export all statistics for a large number of channels on a recurring basis for your data warehouse, look forward to using the upcoming scheduled reports feature of the API, expected to launch later this year.

To get more info on the YouTube APIs, subscribe to our YouTube for Developers channel and YouTubeDev on Google+.


Ted Hamilton is the Product Manager for YouTube Analytics based out of Zurich, Switzerland. Prior to Google, Ted was a consultant at Bain and Company in London. Ted has a Computer Science degree from Northwestern University and holds an MBA from MIT Sloan.

Posted by Scott Knaster, Editor
URL: http://googledevelopers.blogspot.com/2013/05/find-hidden-patterns-with-youtubes-new.html

[Gd] Chrome Beta for Android

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Chrome Releases: Chrome Beta for Android

Chrome Beta for Android has been updated to 27.0.1453.85. This release contains new fixes including:
  • 222030 : White bar appears above the on-screen keyboard
  • 236667 : For long search queries, omnibox is displaying the end of the query instead of the beginning
  • 239602 : When there is a yellow padlock, query in the omnibox should show padlock, google: query
  • 232926: Facebook entire page is highlighted when menu is selected
  • Fixes for a few top crashes
Known Issue:
  • 237115: Dark overlay observed when switching tabs
A partial list of changes in this build is available in the SVN revision log. If you find a new issue, please let us know by filing a bug. More information about Chrome for Android is available on the Chrome site.

Jason Kersey
Google Chrome
URL: http://googlechromereleases.blogspot.com/2013/05/chrome-beta-for-android.html

[Gd] The results are in: Hardcode, the secure coding contest for App Engine

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Google Developers Blog: The results are in: Hardcode, the secure coding contest for App Engine

Author Photo
By Eduardo Vela Nava, Security Team

This January, Google and SyScan announced a secure coding competition open to students from all over the world. While Google’s Summer of Code and Code-in encourage students to contribute to open source projects, Hardcode was a call for students who wanted to showcase their skills both in software development and security. Given the scope of today’s online threats, we think it’s incredibly important to practice secure coding habits early on. Hundreds of students from 25 countries and across five continents signed up to receive information about the competition, and over 100 teams participated.



During the preliminary online round, teams built applications on Google App Engine that were judged for both functionality and security. Five teams were then selected to participate in the final round at the SyScan 2013 security conference in Singapore, where they had to do the following: fix security bugs from the preliminary round, collaborate to develop an API standard to allow their applications to interoperate, implement the API, and finally, try to hack each other’s applications. To add to the challenge, many of the students balanced the competition with all of their school commitments.




We’re extremely impressed with the caliber of the contestants’ work. Everyone had a lot of fun, and we think these students have a bright future ahead of them. We are pleased to announce the final results of the 2013 Hardcode Competition:

1st Place: Team 0xC0DEBA5E
Vienna University of Technology, Austria (SGD $20,000)

2nd Place: Team Gridlock
Loyola School, Jamshedpur, India (SGD $15,000)

3rd Place: Team CeciliaSec
University of California, Santa Barbara, California, USA (SGD $10,000)
  • Nathan Crandall
  • Dane Pitkin
  • Justin Rushing

Runner-up: Team AppDaptor
The Hong Kong Polytechnic University, Hong Kong (SGD $5,000)

Runner-up: Team DesiCoders
Birla Institute of Technology & Science, Pilani, India (SGD $5,000)

Honorable Mention: Team Saviors of Middle Earth (withdrew due to school commitments)
Walt Whitman High School, Maryland, USA

A big congratulations to this very talented group of students!


Eduardo Vela Nava is a Tech Lead for Google's WOOPS (Web or Other Product Security) team, helping teams build safer products.

Posted by Scott Knaster, Editor


URL: http://googledevelopers.blogspot.com/2013/05/the-results-are-in-hardcode-secure.html

[Gd] Clarifying the deprecation policy for Google APIs and services

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Google Developers Blog: Clarifying the deprecation policy for Google APIs and services

Author Photo
By Adam Feldman, APIs Product Manager

We know that deprecation policies can be complex. But it shouldn’t be hard for you to determine which features of our APIs and services are covered by a deprecation policy and which ones aren’t. To date, we’ve often used the label “Experimental” to indicate that certain new versions, features, or functionality don’t have the deprecation policy. But we know you don’t want to hunt through documentation looking for what is “Experimental” and what isn’t.

So starting today, for each API or service that has the deprecation policy, we are creating an explicit list of what is covered by that policy. For instance, here’s what this list will look like for the Google Maps APIs:

We are not adding or subtracting anything, but only changing how we display this information to make it easier to locate and understand. This change will be fully rolled out in the coming weeks. Please refer to each API or service’s terms of service for more information. We hope this will make your life easier so you get back to your code sooner!


Adam Feldman is a Product Manager, focusing on all of Google's APIs and making sure Google provides the best possible platform to developers.

Posted by Scott Knaster, Editor
URL: http://googledevelopers.blogspot.com/2013/05/clarifying-deprecation-policy-for.html

[Gd] Welcome to the Google Cloud Platform blog

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Cloud Platform Blog: Welcome to the Google Cloud Platform blog


Welcome to the Google Cloud Platform blog, the evolution of the Google App Engine blog, which continues as a key component of our broader Google Cloud Platform vision. On this blog, you can find product updates, developer tips, and other content related to Google Cloud Platform.



Our goal is to build the best cloud platform for developers; one that is comprised of multiple services that work together in harmony. A key component of delivering on this goal is creating a centralized communication channel to discuss updates across the entire Google Cloud Platform.



Moving forward, you can find all of the same content that we posted on the App Engine blog here. In addition to App Engine releases, updates, and customer stories, you can expect similar content for the rest of the platform - including Google Compute Engine, Google BigQuery, Google Cloud SQL, Google Cloud Storage, Google Cloud Endpoints and all future Cloud Platform products and services. 



Looking back at the first post on the App Engine blog is a reminder that our ambitious mission remains the same. That is, we want to give you access to the same building blocks that Google uses for its own applications, so you can continue to build amazing things. We are committed to providing the best possible technology for you to build your business in the cloud. 



Okay, time to get back to building. Subscribe here to get notifications for our new blog. And while you’re at it, follow us on Google+ and Twitter too.



-Posted by Chris Ramsdale, Product Manager
URL: http://googlecloudplatform.blogspot.com/2013/05/welcome-to-google-cloud-platform-blog_9.html

[Gd] Tune in live to Google Cloud Platform at Google I/O 2013

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Cloud Platform Blog: Tune in live to Google Cloud Platform at Google I/O 2013


Google I/O 2013 is only a week away! We look forward to sharing updates across Google Cloud Platform. Here’s everything you need to know to keep up with the latest happenings at I/O.



This year, we will have a Google Cloud Platform track kickoff given by Urs Holzle, Senior Vice President of Technical Infrastructure, on Wednesday, May 15th at 12:45 PM Pacific. You can watch the stream on the I/O Live Stream page. Urs will make a few special announcements, so you won’t want to miss it.



At I/O, we have an entire Cloud Platform track complete with code labs and conference sessions. Even if you aren’t attending, you can still tune in to the following sessions on the live stream, which you’ll also be able to find on the homepage of cloud.google.com:






All of our sessions (including the live ones above) will be available on demand as soon as we can get them posted. We’ll post live updates on Google+ and Twitter, so be sure to follow us and take part in the conversation.



Until I/O!



-Posted by Zafir Khan, Product Marketing Manager
URL: http://googlecloudplatform.blogspot.com/2013/05/tune-in-live-to-google-cloud-platform.html

[Gd] Bringing Debian to Google Compute Engine

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Cloud Platform Blog: Bringing Debian to Google Compute Engine


This was an exciting week for the Debian community who released Debian 7.0 “wheezy” that brings big improvements including hardened security, improved 32/64-bit compatibility and addresses a lot of community feedback. Today we’re adding Debian images for Google Compute Engine. Debian, in collaboration with us, is providing images for both Debian 7.0 “wheezy” and the previous stable release, Debian 6.0 “squeeze.” This support will make it easy for anyone using Debian today to migrate their workloads onto Compute Engine.



For fast performance and to reduce bandwidth costs, Google is hosting a Debian package mirror for use by Google Compute Engine Debian instances. We’ve updated our docs and will support Debian via our usual support options or you can also check out what Debian offers.



We are continually evaluating other operating systems that we can enable with Compute Engine. However, going forward, Debian will be the default image type for Compute Engine. We look forward to hearing your feedback.



-Posted by Jimmy Kaplowitz, Site Reliability Engineer and Debian developer
URL: http://googlecloudplatform.blogspot.com/2013/05/bringing-debian-to-google-compute-engine_9.html

[Gd] Automatically Process Cloud Storage Uploads with Change Notifications

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Cloud Platform Blog: Automatically Process Cloud Storage Uploads with Change Notifications


Do your customers upload files to Google Cloud Storage for your applications to process? For example, a photo app may want to create thumbnails of new images as soon as they are uploaded. Normally you would have to poll for updated objects which can be a resource waste or cause you to react slowly. Most times writing and deploying custom scripts to trigger your application is cumbersome.



Today, we're releasing object change notification as a preview feature, allowing you to watch your Google Cloud Storage buckets for new, modified, or deleted objects with a webhook you provide. Now your application can be automatically triggered when an important change happens and start processing data immediately. We've also updated gsutil with a notifyconfig command. A Google App Engine webhook can be as simple as the following:

class MainPage(webapp2.RequestHandler):
def post(self):
resource_state = self.request.headers['X-Goog-Resource-State']
if resource_state == 'sync':
# Initial message that the notification channel is active.
pass
elif resource_state == ‘exists’:
an_object = json.loads(self.request.body)
bucket = an_object['bucket']
object_name = an_object['name']
# Take action!
elif resource_state == ‘not_exists’:
# Object was deleted.
pass

We're also releasing an update to the Google Cloud Storage JSON API, bringing it into parity with our existing XML API, including exposing new methods such as Copy and Compose. As a part of this release, we are making the API available to everyone without requiring an invitation.



Enjoy, and as always, we watch StackOverflow.



- Posted by Dave Barth, Product Manager
URL: http://googlecloudplatform.blogspot.com/2013/05/automatically-process-cloud-storage_9.html

[Gd] App Engine 1.7.7 Released

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Cloud Platform Blog: App Engine 1.7.7 Released


3 weeks following our last release, the App Engine team is happy to announce 1.7.7.  We plan to deliver our Google I/O release next month.  




Outbound sockets moved to Preview

Outbound sockets is now in preview in this release for Java and Python.  With outbound sockets, billing-enabled App Engine applications can now make outbound connections with TCP or UDP sockets.  This allows developers to build applications that weren’t previously possible on App Engine, such as IMAP or DNS clients.




In the Python runtime, we’ve added support for the Python SSL Library, so you can now open secure connections to remote services such as Apple’s Push Notification service. Similarly, Java developers can now use the javax.net.ssl package to make outbound SSL connections.




Java 7 runtime upgraded to General Availability


The App Engine team is committed to quickly releasing features to General Availability.  You may recall we announced that the Java 7 runtime was in preview just 2 months ago.  Since then we have seen 200% adoption week over week, and today are happy to announce the General Availability of the runtime.  




In order to help developers move over, all app deployments initiated using the new 1.7.7 SDK will use Java 7 unless you explicitly opt out with a command line flag.  In the near future, we plan to automatically update all existing Java 6 applications to Java 7.  Most applications shouldn’t be affected by this change, but we encourage you to start testing your application in advance.  For more compatibility information, we suggest that you check out the Java SE 7 and JDK 7 Compatibility notes.




Google App Engine Maven Plugin


The Google App Engine Maven plugin has been updated to support new goals: now you can directly enhance Datanucleus classes, and generate Google Cloud Endpoints service discovery and client libraries.




Improving the developer experience - goodbye $2.10!


We’re happy to announce that billing-enabled applications will no longer be required to spend a minimum of $2.10 per week. This means that you can enable billing for a free tier application and continue running within the free tier without concern that a spike in traffic will terminate serving (note that you can always specify a daily dollar budget). The minimum spend was originally intended to prevent abuse and ensure that we can offer a stable, reliable system with a free tier.  We have determined that we can continue to support the free tier, without relying on the minimum spend.  So, goodbye $2.10!




Cloud SDK Preview


In our continuing effort to make developers’ lives easier, we are happy to share with you a preview release of the Google Cloud SDK which includes everything from the App Engine SDKs for Java, Python or Go as well as all the tools needed to target Google Compute Engine, Google Cloud SQL, Google Cloud Storage and Google BigQuery in one easy-to-use package.  Please try it out; we are eager to hear your feedback.




A note on reliability improvements


A key benefit of running on a managed service like App Engine is the changes that occur behind the scenes that automatically improve the performance of your applications.  In just the past two months, we’ve made many such improvements:



  • Faster and more consistent deployments.  Many customers are seeing up to 10x reductions in time to deploy a new application version.



  • We have fully deployed an entirely new scheduler system which autoscales applications more smoothly and efficiently.





  • Admin console dashboard charts and current load/error reports have moved to a new, more reliable backend



  • The release version of App Engine is now visible in the Admin Console and in request logs



  • Several stability and scheduling improvements to Task Queue






The complete list of features and bug fixes for 1.7.7 can be found in our release notes. For App Engine coding questions and answers check us out on Stack Overflow, and for general discussion and feedback, find us on our Google Group.






- Posted by Chris Ramsdale, Product Manager









URL: http://googlecloudplatform.blogspot.com/2013/04/app-engine-177-released_9.html

[Gd] Python 2.5, thanks for the good times

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Cloud Platform Blog: Python 2.5, thanks for the good times


Python 2.5 has a special place in the heart of any Google App Engine developer, as it was the first runtime we launched way back in 2008. Since then, both Python and App Engine have advanced a great deal.


A year ago we announced our support for Python 2.7, which brings syntactic and semantic improvements to the language and includes powerful features like threading and a large selection of third-party libraries.

Not only does Python 2.7 make developers’ lives easier, the runtime is extremely cost-effective. Our customers have taken advantage of features like concurrent requests to reduce their front-end instance costs by more than 70% while handling the same amount of traffic.

Not surprisingly, the Python 2.7 runtime has proven to be extremely popular. Just over a year after launch, more than 78% of active Python applications on App Engine are using the new runtime, and more are being added every minute.

As both Python and App Engine evolve, we must occasionally make hard choices about which legacy runtimes we should continue to support. Today we are announcing the deprecation of the Python 2.5 runtime. The deprecation period will follow the guidelines set in our terms of service.

What does this mean?



  • We will continue to run Python 2.5 applications throughout the deprecation period. For most customers, upgrading to Python 2.7 is trivial as most elements of Python 2.5 are forwards-compatible with Python 2.7. We’ve prepared a handy migration guide that covers the steps to migrate in detail.

  • If your application is still using the already deprecated Master/Slave Datastore, then you should first plan the migration to our more reliable High Replication Datastore, as the Master/Slave Datastore is not accessible from Python 2.7.

  • Future versions of the App Engine Python Development SDK will display warnings to developers deploying updates to a deprecated runtime.

  • Starting from January 2014, we will no longer allow new applications to be created using the Python 2.5 runtime.



We encourage all developers using Python 2.5 to consider migrating as soon as possible. We’re confident that the vast majority of our customers will find the upgrade straightforward and the benefits substantial.

If you’re considering migrating, here are some useful resources:




If you have any questions about this deprecation, we encourage you to contact us at google-appengine-python25-deprecation@googlegroups.com.

-Posted by Andrew Jessup, Product Manager
URL: http://googlecloudplatform.blogspot.com/2013/04/python-25-thanks-for-good-times.html

[Gd] Google Compute Engine - Expanded Availability, New Features, and Lower Prices

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Cloud Platform Blog: Google Compute Engine - Expanded Availability, New Features, and Lower Prices




Cross-posted with the Google Developers Blog





Starting today, Google Compute Engine is available to all customers who sign up for our Gold Support package. We’re also happy to announce a 4% reduction on all Compute Engine pricing.



In the nine months since announcing Compute Engine, customers have been using Google’s Infrastructure as a Service product and giving us valuable feedback. Sebastian Stadil of Scalr wrote, in a recent review:



“Google Compute Engine is not just fast. It’s Google fast. In fact, it’s a class of fast that enables new service architectures entirely.”



We’re happy to hear that, because one of our main goals in building Compute Engine is to enable a new generation of applications with direct access to the capabilities of Google’s vast computing infrastructure.





Based on user feedback, we’ve added a number of major features including:






  • An improved administration console, the Google Cloud Console (preview), which allows you to administer all your Google Cloud Platform services via a unified interface.







    Screenshot of new Cloud Console in action







  • Five new instance type families (diskless versions of our standard instance types, plus diskful and diskless versions of high-memory and high-cpu configurations), with 16 new instance types.






  • Two new supported zones in Europe, which provide lower latency and higher performance for our European customers. We’ve also made it easy to migrate virtual machine instances from one zone to another via an enhancement to our gcutil command line tool.






  • An enhanced metadata server, with the ability to support recursive queries, blocking gets and selectable response formats, along with support for updating virtual machine tags and metadata on running instances (which enables dynamic reconfiguration scenarios).





While we've been hard at work developing new features, we've also had the opportunity to play. Check out the amazing World Wide Maze Chrome Experiment, developed by the Chrome team in Japan. This game converts any web site of your choice into an interactive, three dimensional maze, navigated remotely via your smartphone. Compute Engine virtual machines run Node.js to manage the game state and synchronization with the mobile device, while Google App Engine hosts the game’s web UI. This application provides an excellent example of the new kinds of rich, high performance back end services enabled by Google Cloud Platform.



With today’s announcement, we look forward to welcoming many new customers, and bringing exciting new applications to Google Cloud Platform!





-Posted by Marc Cohen, Developer Relations




URL: http://googlecloudplatform.blogspot.com/2013/04/google-compute-engine-expanded.html

[Gd] Integrate Voice and SMS with Twilio on Google Cloud Platform

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Cloud Platform Blog: Integrate Voice and SMS with Twilio on Google Cloud Platform




Have you ever wanted to integrate SMS or voice communications into your app? We’ve been working with our friends over at Twilio to make it easier to do so. Today we’re announcing native Python and Java libraries for working with Twilio APIs onto Google Cloud Platform.



Lots of apps on App Engine have already been built with phone functionality. Check out the sample code for a group messaging app and the sample code for an app that dispatches voicemails and SMS messages to PagerDuty. Learn how to send business cards via sms through this step by step guide.




You can start building voice and SMS features into your App Engine apps today. Together with Twilio, we’ll help you get started with 2,000 free text message or voice minutes.





Ready to get started?



  1. Sign up for App Engine.




  2. Get your Twilio account and 2,000 free text message or voice minutes.









Here’s a quick peek at how easy it can be to send a text message from App Engine using Python. After installing the Twilio library, it just takes a few lines of code to send an SMS.





-Posted by Robert Do, Product Marketing Manager


URL: http://googlecloudplatform.blogspot.com/2013/04/integrate-voice-and-sms-with-twilio-on.html

[Gd] Education Awards on Google App Engine

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Cloud Platform Blog: Education Awards on Google App Engine




Last year we invited proposals for innovative projects built on Google’s infrastructure. Today we are pleased to announce the 11 recipients of a Google App Engine Education Award. Professors and their students are using the award in cloud computing courses to study databases, distributed systems, web mashups and to build educational applications. Each selected project received $1000 in Google App Engine credits.





Awarding computational resources to classroom projects is always gratifying. It is impressive to see the creative ideas students and educators bring to these programs.





Below is a brief introduction to each project. Congratulations to the recipients!



John David N. Dionisio, Loyola Marymount University


Project description: The objective of this undergraduate database systems course is for students to implement one database application in two technology stacks, a traditional relational database and on Google App Engine. Students are asked to study both models and provide concrete comparison points.



Xiaohui (Helen) Gu, North Carolina State University



The goal of the project is to allow the students to learn distributed system concepts by developing real distributed system management systems and testing them on real world cloud computing infrastructures such as Google App Engine.



Shriram Krishnamurthi, Brown University


Project description:  WeScheme is a programming environment that runs in the Web browser and supports interactive development. WeScheme uses App Engine to handle user accounts, serverside compilation, and file management.



Feifei Li, University of Utah


Project description: A graduate-level course that will be offered in Fall 2013 on the design and implementation of large data management system kernels.  The objective is to integrate features from a relational database engine with some of the new features from NoSQL systems to enable efficient and scalable data management over a cluster of commodity machines.



Mark Liffiton, Illinois Wesleyan University


Project description: TeacherTap is a free, simple classroom-response system built on Google App Engine. It lets students give instant, anonymous feedback to teachers about a lecture or discussion from any computer or mobile device with a web browser, facilitating more adaptive class sessions.



Eni Mustafaraj, Wellesley College


Project description: Topics in Computer Science: Web Mashups. A CS2 course that combines Google App Engine and MIT App Inventor. Students will learn to build apps with App Inventor to collect data about their life on campus. They will use Google App Engine to build web services and apps to host the data and remix it to create web mashups. Offered in the 2013 Spring semester.



Manish Parashar, Rutgers University


Project description: Cloud Computing for Scientific Applications -- Autonomic Cloud Computing teaches students how a hybrid HPC/Grid + Cloud cyber infrastructure can be effectively used to support real-world science and engineering applications. The goal of our efforts is to explore application formulations, Cloud and hybrid HPC/Grid + Cloud infrastructure usage modes that are meaningful for various classes of science and engineering application workflows.



Orit Shaer, Wellesley College


Project description: GreenTouch


GreenTouch is a collaborative environment that enables novice users to engage in authentic scientific inquiry. It consists of a mobile user interface for capturing data in the field, a web application for data curation in the cloud, and a tabletop user interface for exploratory analysis of heterogeneous data.



Elliot Soloway, University of Michigan


Project description: WeLearn Mobile Platform: Making Mobile Devices Effective Tools for K-12. The platform makes mobile devices (Android, iOS, WP8) effective, essential tools for all-the-time, everywhere learning.  WeLearn’s suite of productivity and communication apps enable learners to work collaboratively; WeLearn’s portal, hosted on Google App Engine, enables teachers to send assignments, review, and grade student artifacts. WeLearn is available to educators at no charge.



Jonathan White, Harding University


Project description: Teaching Cloud Computing in an Introduction to Engineering class for freshmen.  We explore how well-designed systems are built to withstand unpredictable stresses, whether that system is a building, a piece of software or even the human body.  The grant from Google is allowing us to add an overview of cloud computing as a platform that is robust under diverse loads.



Dr. Jiaofei Zhong, University of Central Missouri

Project description: By building an online Course Management System, students will be able to work on their team projects in the cloud.  The system allows instructors and students to manage the course materials, including course syllabus, slides, assignments and tests in the cloud; the tool can be shared with educational institutions worldwide.




-Posted by Andrea Held, Google University Relations
URL: http://googlecloudplatform.blogspot.com/2013/03/education-awards-on-google-app-engine.html