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samantha armstrong

FixComputerpProblemsSite Surely Knows How to Fix Computer Problems! - 1 views

I was having problems with my laptop before. Good thing FixComputerpProblemsSite helped me fix it. And they are really the experts when it comes to solving any computer related issues. They can eas...

fix computer problems cloud CloudComputing cloud computing amazon AWS Computing it google ec2 Development

started by samantha armstrong on 07 Jun 11 no follow-up yet
Stian Danenbarger

Susan Brenner: "Privacy and the Cloud" - 1 views

cyb3rcrim3.blogspot.com/...privacy-and-cloud.html

Brenner privacy legislation cloud

shared by Stian Danenbarger on 20 Aug 09 - Cached
  • the 4th Amendment was developed at a time when the only privacy was spatial privacy; for something to be private, I had to keep it IN my home or office (and maybe in a locked chest), which both made it difficult for law enforcement officers to gain access to it and symbolically invoked my right to assume they wouldn’t gain access to it. (In other words, I could assume privacy.)
  • our lives have already moved far beyond spatial privacy; I talked about the 4th Amendment’s application to the contents of emails and what we do online -- arguing that it should apply to both, but noting that courts so far do not tend to agree. I think cloud computing will take this analysis to the next level.
  • My point is that even under current 4th Amendment law, I can make what I think are valid arguments as to why the 4th Amendment should apply to data stored in a cloud (as long as the appropriate conditions exist). I really think, though, that we shouldn’t be using cases that were decided thirty years ago or a hundred and thirty years ago to set the standard for 4th Amendment privacy in an era of advancing technology. As I argued in that law review article, I think we need to move beyond a purely spatial approach to privacy to approaches that encompass both spatial and non-spatial privacy.
  • Stian Danenbarger on 20 Aug 09
     
    What about privacy in an era of cloud computing? If I store my data in a cloud, is the data in a "closed container" and therefore private under the 4th Amendment? Or is putting data in a cloud analogous to giving the numbers I dial on my phone to the phone company?
Alex MIkhalev

Pig Training Available Online (Hadoop and Distributed Computing at Yahoo!) - 0 views

developer.yahoo.net/...training_available_online.html

cloud computing hadoop interface

shared by Alex MIkhalev on 11 May 09 - Cached
  • Alex MIkhalev on 11 May 09
     
    Yahoo! and Cloudera have worked together to produce a couple of training videos for Pig. There is Introduction to Pig, a 50 minute talk on Pig, including copious examples of writing Pig Latin scripts, an overview of how Pig works, and a discussion of the advantages of Pig versus other Hadoop interfaces
  • Alex MIkhalev on 11 May 09
     
    Pig Training Available Online Yahoo! and Cloudera have worked together to produce a couple of training videos for Pig. There is Introduction to Pig, a 50 minute talk on Pig, including copious examples of writing Pig Latin scripts, an overview of how Pig works, and a discussion of the advantages of Pig versus other Hadoop interfaces
DJHell .

OpenSocial in the Cloud - OpenSocial - 0 views

wiki.opensocial.org/index.php

OpenSocial Cloud Computing Open Source development IT articles Wiki

shared by DJHell . on 15 Apr 09 - Cached
  • Apps can grow especially fast on social networks, so before you launch your next social app, you should think about how to scale up quickly if your app takes off.
  • Unfortunately, scaling is a complex problem that's hard to solve quickly and expensive to implement.
  • If this app grows to serve millions of users and photos, shared hosting or even a dedicated server won't have the bandwidth or CPU cycles to handle all of the requests. We could invest in more servers and network infrastructure, shard the database, and load-balance requests, but that takes time, money, and expertise. If you'd rather work on the new features of the app, it's time to move into the cloud.
  • ...9 more annotations...
  • It's important to focus on the interactions between the app and your server when designing an application that will run in the cloud. If we standardize the communication protocol and data format, we can easily change the server side implementation without modifying the OpenSocial app.
  • You can configure the makeRequest method to digitally sign the requests your app makes to your server using OAuth's algorithm for parameter signing. This means that when your server receives a request, it can verify that the request came from your application hosted in a specific container. To implement this, the calls to makeRequest in the OpenSocial app spec XML specify that the request should be signed, and the code that handles requests on the server side verifies that a signature is included and valid
  • When our server receives a request, we can verify that it came from our application by checking that the digital signature was signed by a valid container and that the application ID is correct.
  • Since our server isn't storing any relationship data, the app will need to send us a list of user IDs so we can fetch the appropriate photos.
  • Although it's outside the scope of this article, we could provide a mechanism for our OpenSocial app to request a one-time-use token that it would include in the request to upload a photo.
  • Note that the post data is URL-encoded in the request so the post method uses urllib.unquote before splitting the comma-separated list of person IDs.
  • Since the server doesn't store any relationship data, the PhotosHandler class checks the post data of the request for a list of IDs from the container.
  • A common misconception when coding in the cloud is that storage space, CPU cycles, and bandwidth are unlimited. While the cloud hosting provider can, in theory, provide all the resources your app needs, hosting in the cloud ain't free so these resources are limited by your budget. Luckily, OpenSocial provides several mechanisms to cache images and data that will reduce the load on your server.
  • In addition to reducing traffic to our server, this technique has the added benefit of being fast—requesting data from the Persistence API is much faster than making the round trip to your server.
  • DJHell . on 15 Apr 09
     
    Some OpenSocial apps can be written entirely with client-side JavaScript and HTML, leveraging the container to serve the page and store application data. In this case, the app can scale effortlessly because the only request hitting your server is for the gadget specification which is typically cached by the container anyway. However, there are lots of reasons to consider using your own server: * Allows you to write code in the programing language of your choice. * Puts you in control of how much application data you can store. * Lets you combine data from users on multiple social networks. * Enables interaction with the OpenSocial REST API. Setting up an OpenSocial app that uses a third party server is fairly simple. There are a few gotchas and caveats, but the real issues come up when your app becomes successful - serving millions of users and sending thousands of requests per second. Apps can grow especially fast on social networks, so before you launch your next social app, you should think about how to scale up quickly if your app takes off. Unfortunately, scaling is a complex problem that's hard to solve quickly and expensive to implement. Luckily, there are several companies that provide cloud computing resources-places you can store data or run processes on virtual machines. These computing solutions manage huge infrastructures so you can focus on your applications and let the "cloud" handle all the requests and data at scale. This tutorial focuses on a simple photo-sharing app that uses a third-party server to host photos and associated metadata. If this app is going to host millions of images and support many requests per second, we won't be able to run it on a single dedicated host. We'll break the app down and analyze the interactions between the OpenSocial App and the back end server. Then we'll implement the app in the cloud, first using Google App Engine, then leveraging Amazon's S3 data storage service. Finally, we'll look at s
Maluvia Haseltine

GridGain - Cloud Development Platform : Weblog - 1 views

www.jroller.com/...shortest_mapreduce_application

CloudComputing

shared by Maluvia Haseltine on 10 Jul 09 - Cached
  • Maluvia Haseltine on 10 Jul 09
     
    World-Shortest MapReduce Application
DJHell .

Cloud computing with Amazon Web Services, Part 5: Dataset processing in the cloud with ... - 0 views

www.ibm.com/...ar-cloudaws5

articles AWS Cloud Computing developerWorks IBM IT SimpleDB development Amazon

shared by DJHell . on 14 Apr 09 - Cached
  • DJHell . on 14 Apr 09
     
    Learn basic Amazon SimpleDB (SDB) concepts and explore some of the functions provided by boto, an open source Python library for interacting with SDB. In this "Cloud computing with Amazon Web Services" series, learn about cloud computing using Amazon Web Services. Explore how the services provide a compelling alternative for architecting and building scalable, reliable applications. In this article, learn some of the basic concepts and check out some of the functions provided by boto.
DJHell .

Cloud computing with Amazon Web Services, Part 4: Reliable messaging with SQS - 0 views

www.ibm.com/...ar-cloudaws4

AWS Cloud Computing developerWorks IBM IT development SQS articles Amazon

shared by DJHell . on 14 Apr 09 - Cached
  • DJHell . on 14 Apr 09
     
    Learn basic Amazon SimpleDB (SDB) concepts and explore some of the functions provided by boto, an open source Python library for interacting with SDB. In this "Cloud computing with Amazon Web Services" series, learn about cloud computing using Amazon Web Services. Explore how the services provide a compelling alternative for architecting and building scalable, reliable applications. In this article, learn about the reliable and scalable messaging service provided by Amazon Simple Queue Service (SQS).
DJHell .

Cloud computing with Amazon Web Services, Part 3: Servers on demand with EC2 - 0 views

www.ibm.com/...ar-cloudaws3

articles AWS Cloud Computing developerWorks EC2 IBM IT development Amazon

shared by DJHell . on 14 Apr 09 - Cached
  • DJHell . on 14 Apr 09
     
    Learn basic Amazon SimpleDB (SDB) concepts and explore some of the functions provided by boto, an open source Python library for interacting with SDB. In this "Cloud computing with Amazon Web Services" series, learn about cloud computing using Amazon Web Services. Explore how the services provide a compelling alternative for architecting and building scalable, reliable applications. This article introduces you to the virtual servers provided by Amazon Elastic Compute Cloud (EC2). Learn how EC2 can help you configure your applications' computing requirements on the fly and adjust capacity based on demand.
Alex MIkhalev

Preview: Chef 0.8 and the Opscode Platform - Blog - Opscode - 0 views

www.opscode.com/...f-0-8-and-the-opscode-platform

amazon cloud computing cloudcomputing automatic deployment computing development cloud AWS EC2

shared by Alex MIkhalev on 08 Oct 09 - Cached
  • Alex MIkhalev on 08 Oct 09
     
    "Preview: Chef 0.8 and the Opscode Platform"
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