Some embodiments of the present invention include an execution unit of a processor and a memory management unit interposed between the execution unit and an interface to memory suitable for storage of both guest page tables maintained by a guest operating system and shadow page tables maintained generally in correspondence with the guest page tables by virtualization software. The memory management unit is configured to walk in-memory data structures that encode the shadow page tables, to access entries of the shadow page tables and, based thereon or on a cached representation of page mappings therein, to perform virtual-to-physical address translations relative to memory targets of instructions executed by the execution unit. The memory management unit is responsive to a shadowed write indication coded in association with either an entry of the shadow page tables or a cached representation of a page mapping therein used to perform the virtual-to-physical address translation for a write-type one of the instructions that targets an entry of one of the guest page tables. The memory management unit is configured to complete the memory access of the write-type instruction that targets the guest page table entry and to store in a buffer, information sufficient to allow the virtualization software to later update an entry of the shadow page tables in correspondence therewith. ...

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Published: June 9, 2010 Rand Fishkin is the CEO & Co-Founder of SEOmoz , a leader in the field of search engine optimization tools, resources & community. In 2009, he co-authored the Art of SEO from O'Reilly Media and was named among the 30 Best Young Tech Entrepreneurs Under 30 by BusinessWeek. Rand has been written about it in The Seattle Times , Newsweek and the NY Times among others and keynoted conferences on search around the world. He's particularly passionate about the SEOmoz blog, read by tens of thousands of search professionals each day. In his miniscule spare time, Rand enjoys the company of his amazing wife, Geraldine . Ben Hendrickson graduated from the Computer Science Department at the University of Washington, he then rather enjoyed being a developer at Microsoft, although not quite as much as his current position serving the SEOmoz corporation. Nick Gerner leads SEOmoz API development and worked on solutions for historical Linkscape data tracking prior to leaving SEOmoz about 1 month ago. Interview Transcript Eric Enge: Can you provide an overview of what Linkscape is, for the readers who aren't familiar with you all and what you have been developing? Rand Fishkin: Linkscape is an index of the World Wide Web, built by crawling tens of billions of pages and building metrics from that data. The information Linkscape provides is something webmasters have cared about and wanted to see but search engines have been reluctant to expose. Linkscape is a way to understand how links impact a website and how they impact the rankings given by search engines. Our aim is to expose the data in two formats. One for advanced users to perform some of the complicated analyses they have longed to do but couldn't, and a second to provide simple recommendations and advice to webmasters who don't necessarily need to learn the ins and outs of how metrics are calculated. Ultimately Linkscape will provide actionable recommendations that go beyond raw data to explain a site's ranking and the rankings of competitors. It routes the source of the links and shows a user who is linking to a competitor, but could link to them. Our tools also expose which links are more useful and which ones are less so. Eric Enge: One interesting aspect of your tools is that in addition to collecting a large dataset of pages and links across the web, you do your own calculations to approximate trust value and rank value as in mozRank or mozTrust. Can you talk a little bit about that? Rand Fishkin: For those who are interested in the technical details and methodologies, the patent applications are now available . For the less technical webmaster, mozRank is a way to think about raw popularity in terms of how many links point to a page and how important those links are and consequently how important that page is. It leverages the classic PageRank concept. MozTrust similarly asks the same question, but with a trust base bias. Inst ...