Any free server images? 24 Free Data Center Photos from fatcow.com 24 Free Data Center Photos: http://www.fatcow.com/data-center-photos From Wikimedia commons: Multiple servers: http://commons.wikimedia.org/wiki/File:Server-multiple.svg Server: http://commons.wikimedia.org/wiki/File:Server.svg Yellow server: http://commons.wikimedia.org/wiki/File:Server-yellow.svg Green server: http://commons.wikimedia.org/wiki/File:Server-green.svg More from clker.com: Web Virtualization Server clip art: http://www.clker.com/clipart-1826.html Small Case Web Mail Server clip art: http://www.clker.com/clipart-1902.html Inside our data centers from Google —
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Tag: Datacenter
Data Consistency Models of Public Cloud Storage Services: Amazon S3, Google Cloud Storage and Windows Azure Storage
Posted onThe public cloud storage services like Amazon S3, Google Cloud Storage and Windows Azure Storage replicate the data to ensure high availability. On the other hand, with data being replicated, the storage services exhibits certain data consistency models. Different cloud service providers employ different data consistency models nowadays. In this post, we survey the data
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Software Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean
Posted onSoftware Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean. You can download the slides from Software Engineering Advice from Building Large-Scale Distributed Systems by Jeff Dean. These slides contain the “Numbers everyone should know” which everyone working on systems should be familiar with. Numbers Everyone Should Know L1 cache reference 0.5 ns Branch
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Designs, Lessons and Advice from Building Large Distributed Systems
Posted onDesigns, Lessons and Advice from Building Large Distributed Systems by Jeaf Dean. Everyone who is interested in large distributed systems should read: PDF for Designs, Lessons and Advice from Building Large Distributed Systems by Jeaf Dean.
Large-scale Data Storage and Processing System in Datacenters
Posted onResearch on Cloud Computing has made big progresses and many excellent large-scale systems have been designed in recent years. I compiled a list of some large-scale data storage and processing systems in datacenters as follows. Storage systems Google File System (GFS): http://research.google.com/archive/gfs.html HDFS implementation: https://hadoop.apache.org/docs/r2.7.2/hadoop-project-dist/hadoop-hdfs/HdfsDesign.html Colossus (GFS2): Colossus: Successor to the Google File System (GFS)
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Microsofts Cosmos Service
Posted onCosmos is “Microsoft’s internal data storage/query system for analyzing enormous amounts (as in petabytes) of data”. There is no paper/technical report about Cosmos published yet. I compiled a list of information about Cosmos on the Web as follows. What is Microsoft’s Cosmos service? by Yaron Y. Goland. Microsoft Cosmos: Petabytes perfectly processed perfunctorily by Seth
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Reading List for Distributed Systems and Cloud Computing
Posted onUnderstanding the literature is usually the first step to do research, which is the same for systems research on cloud computing. A reading list may help a lot to those that just start in cloud computing research. Prof. Lin Gu, my PhD supervisor, compiled a reading list for system research on cloud computing. The reading
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