Wuala - a distributed file system
- Length: 48:32
- Rating: 4.77 (64 ratings)
- Views: 14595
- Author: googletechtalks
Tags: education engedu google googletechtalks talk talks techtalk techtalks
Google Tech Talks October, 30 2007 ABSTRACT After three years of research and development on a distributed storage system, we are ready to unveil the result: Wuala. Wuala is a new way of storing, sharing, and publishing files on the internet. Unlike traditional online storage systems, Wuala is decentralized and can harness idle resources of participating computers to build a large, secure, and reliable online storage. This enables its users to trade parts of their local storage for online storage and it allows us to provide a better service for free. In the talk, I will explain what Wuala is and how it works, and I will also show a demo. All attendees will also get an invitation code to join the early alpha version. Speaker: Dominik Grolimund I am 26 years old and have studied computer science at ETH Zurich. In 1998, I founded my software company Caleido, and developed the Caleido Address-Book, a professional contact management software, of which over 35'000 licenses have been sold so far in Switzerland, Germany and Austria. In 2003, I did an exchange semester at the TU Delft, the Netherlands, as part of the Unitech exchange program, focusing on business and management. In 2004, a six-month internship followed with Siemens Corporate Research in Princeton, New Jersey in the US, where I worked in the 'Intelligent Vision & Reasoning' department, developing a prod...
Dryad: A general-purpose distributed execution platform
- Length: 53:59
- Rating: 4.20 (5 ratings)
- Views: 4833
- Author: googletechtalks
Tags: education engedu google googletechtalks talk talks techtalk techtalks
Google Tech Talks November, 1 2007 ABSTRACT Web search has generated the need and economic support for a new class of data-intensive supercomputing applications. Several computing platforms have been created to support this need: the first described in the literature is Google's MapReduce. I will describe the architecture of the Dryad system developed at Microsoft Research, and explain some of our design choices. Dryad allows more general computations than MapReduce, and has consequently been used as a middleware abstraction on which higher-level programming models can be implemented. I will also briefly discuss some of these. Speaker: Michael Isard Michael Isard started out as a computer vision researcher, but has gradually been lured into systems research by his colleagues, first at DEC/Compaq SRC and now at Microsoft Research Silicon Valley. He was closely involved in the design and implementation of the first version of Microsoft's in-house search engine, and his systems research subsequently has concentrated on programming models for parallel and distributed computing.
Googel Developers Day US - Testing Distributed Systems
- Length: 49:22
- Rating: 3.83 (6 ratings)
- Views: 15925
- Author: GoogleDeveloperDay
Testing Distributed Systems with AJAX, XML - Lessons Learned from Google Checkout Martin Omander, Jason Huggins Google Checkout is a good example of a distributed system involving several websites, the end user experience being powered by Ajax interactions, synchronous and asynchronous web services. Automating functional testing for that kind of architecture is a challenge. In this session we will provide an overview of the Google Checkout product and API, then present Mendoza, an open source testing framework that we use for functional testing of Checkout API integrations, using Selenium and a java test server. Mendoza has been designed in a generic way and can be leveraged to perform functional testing of any distributed system of similar architecture.
Cluster Computing and MapReduce Lecture 3
- Length: 44:40
- Rating: 4.64 (11 ratings)
- Views: 6132
- Author: GoogleDevelopers
Tags: cluster computing distributed gfs hadoop mapreduce parallel
Lecture 3: The Google File System. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.html for slides and other resources.
Cluster Computing and MapReduce Lecture 1
- Length: 46:16
- Rating: 4.69 (67 ratings)
- Views: 37928
- Author: GoogleDevelopers
Tags: cluster computing distributed gfs hadoop mapreduce parallel
Lecture 1 in a five part series introducing mapreduce and cluster computing. See http://code.google.com/edu/content/submissions/mapreduce-minilecture/listing.html for slides and other resources.
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