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Seo Master present to you: 2013, By: Seo Master

Seo Master present to you: By Zaheda Bhorat, Open Source Team

Google welcomes the ISO decision to not approve the fast track of Office Open XML (OOXML) proposed standard DIS 29500 (ECMA 376).

Our engineers conducted an independent analysis of the OOXML specification and found several areas of concern, which we communicated both to the ISO and to the public. These include and are not limited to the following:

• for a specification of this size it was not given enough time for review;
• the undocumented features of OOXML prevents its implementation by other vendors;
• dependencies on other Microsoft proprietary formats and their technical defects makes it difficult to fully implement; and
• the overall cost for vendors of implementing multiple standards (hence the lack of OOXML implementations in the marketplace).

It is also incompatible with the existing ISO standard ISO 26300:2006, the Open Document Format (ODF), which already offers a high degree of interoperability, wide support, and offers the level playing field the world needs. Google is a supporter of ODF and has successfully integrated this open format into Google Docs and Spreadsheets. ODF also enjoys implementation in over twelve other products.

The ISO approval required at least 2/3 (i.e., 66.66%) of the votes cast by participating (P) members to be positive, and no more than 1/4 (i.e., 25%) of the total number of national body votes cast negative. Neither of these criteria were met by the proposed standard.

The concerns from many technical experts around the world were submitted as comments by the voting bodies to ISO on September 2, 2007. These must now be resolved at a Ballot Resolution Meeting (BRM) on February 25-29, 2008. In contrast, ODF was approved unanimously (23-0 among P members, 31-0 overall) as an international standard by ISO in May 2006.

As we represented our position in many countries, we were encouraged by the process observed in some places that truly evaluated the proposed standard on its technical merits as well as the feasibility of implementing the standard for the people of the country. These countries successfully declined or abstained due to insufficient information about the standard or the lack of time to evaluate the specification. In addition, many irregularities have been reported in the voting process (see here, here and here).

Technical standards should be arrived at transparently, openly, and based on technical merit. Google is committed to helping the standards community remain true to this ideal and maintain their independence from any commercial pressure.

Google supports one open document format and calls on industry participants to collaboratively work on ODF. With multiple implementations of one open standard for documents, users, businesses and governments around the world can have both choice and freedom to access their own documents, share with others and pass onto future generations.2013, By: Seo Master

Seo Master present to you: By Sierra Michels-Slettvet, Engineering Intern

Earlier this year, the University of Washington partnered with Google to develop and implement a course to teach large-scale distributed computing based on MapReduce and the Google File System (GFS). The goal of developing the course was to expose students to the methods needed to address the problems associated with hundreds (or thousands) of computers processing huge datasets ranging into terabytes. I was excited to take the first version of the class, and stoked to serve as a TA in the second round.

But you can't program air, so Google provided a cluster computing environment to get us started. And since computers can't program themselves (yet?), UW provided the most essential component: students with sweet ideas for a huge cluster. After learning the ropes with these new tools, students finished the course by producing an impressive array of final projects, including an n-body simulator, a bot to perform Bayesian analysis on Wikipedia edits to search for spam, and an RSS aggregator that clustered news articles by geographic location and displayed them using the Google Maps API. Check out Geozette.

We are looking at ways to encourage other universities to get similar classes going, so we've also published the course material that was used at the University of Washington on Google Code for Educators. You're more than welcome to check out the Google Summer Intern video lectures on MapReduce, GFS, and parallelizing algorithms for large scale data processing. This summer I've been working on exposing these educational resources and other tools so that anyone can work on and think about cool distributed computing problems without the overhead of installing his or her own cluster. In that vein, we've released a virtual machine containing a pre-configured single node instance of Hadoop that has the same interface as a full cluster without any of the overhead. Feel free to give it a whirl.

We're happy to be able to expose students and researchers to the tools Googlers use everyday to tackle enormous computing challenges, and we hope that this work will encourage others to take advantage of the incredible potential of modern, highly parallel computing. Virtually all of this material is Creative Commons licensed, and we encourage educators to remix it, build upon it, and discuss it in the Google Code for Educators Forum.

Lastly, a quick shout out to the other interns who helped out on our team this summer: Aaron Kimball, Christophe Taton, Kuang Chen, and Kat Townsend. I'll miss you guys!2013, By: Seo Master