附录 A 进一步阅读

Page of Photos (PoP) 示例

本书通篇使用 Page of Photos 示例应用程序。其中部分功能已使用 Windows Azure 实现，用于演示书中的概念。Page of Photos 的代码（最初非常简洁，之后由作者及其合作者逐步完善）将在 GitHub 的公共代码库中共享。

• 运行 Page of Photos (PoP) 示例应用程序：http://www.pageofphotos.com
• 查看 Page of Photos (PoP) 示例应用程序的源代码：http://www.github.com/codingoutloud/pageofphotos
• 查找有关本书及未来可能相关内容的信息：http://www.cloudarchitecturebook.com

序言和各章节中的资源

• Windows Azure Platform: http://www.windowsazure.com
• Amazon Web Services: http://aws.amazon.com/
• Google App Engine: http://developers.google.com/appengine/
• A NIST Definition of Cloud Computing (SP 800-145 Sept. 2011): http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf
• (NIST) Cloud Computing Synopsis and Recommendations (SP 800-146 May 2012): http://csrc.nist.gov/publications/nistpubs/800-146/sp800-146.pdf

第一章

• “A Compuware analysis of 33 major retailers across 10 million home page views showed that a 1-second delay in page load time reduced conversions by 7%.” Source: Compuware, April 2011.
• “Google observed that adding a 500-millisecond delay to page response time caused a 20% decrease in traffic” Source: Marissa Mayer, “What Google Knows” talk at Web 2.0 Conf 2006 (11/09/2006): http://conferences.oreillynet.com/presentations/web2con06/mayer.ppt
• “Yahoo! observed a 400-millisecond delay caused a 5-9% decrease [in traffic].” And “Amazon.com reported that a 100-millisecond delay caused a 1% decrease in retail revenue.” Source: http://blog.yottaa.com/2010/11/secret-sauce-for-successful-web-site-web-performance-optimization-wpo
• “Google has started using web-site performance as a signal in its search engine rankings.” Source: Using site speed in web search ranking: http://googlewebmastercentral.blogspot.com/2010/04/using-site-speed-in-web-search-ranking.html
• Example of a self-inflicted scaling failure: http://glinden.blogspot.com/2006/11/amazon-crashes-itself-with-promotion.html
• ITIL: http://en.wikipedia.org/wiki/Information_Technology_Infrastructure_Library

第二章

• Windows Azure Storage Analytics: Logs and Metrics: http://blogs.msdn.com/b/windowsazurestorage/archive/2011/08/03/windows-azure-storage-analytics.aspx
• Windows Azure Diagnostics: http://msdn.microsoft.com/en-us/library/windowsazure/gg433048.aspx
• About Load Balancers: http://1wt.eu/articles/2006_lb/

第三章

• Comparing Windows Azure Storage Queues with Amazon Simple Queue Service: http://gauravmantri.com/2012/04/15/comparing-windows-azure-queue-service-and-amazon-simple-queue-servicesummary/
• Comparing the two queue services offered by Windows Azure: http://msdn.microsoft.com/en-us/library/windowsazure/hh767287.aspx
• Update Message on a Windows Azure Queue: http://msdn.microsoft.com/en-us/library/windowsazure/hh452234
• Loose coupling: http://en.wikipedia.org/wiki/Loose_coupling
• Long Polling with SignalR for ASP.NET: http://signalr.net
• Long Polling with Socket.IO for Node.js: http://socket.io
• CQRS Pattern: http://martinfowler.com/bliki/CQRS.html
• CQRS: http://www.cqrsinfo.com/
• Event Sourcing: http://martinfowler.com/eaaDev/EventSourcing.html

第四章

• Enterprise Library 5.0 Integration Pack for Windows Azure (contains WASABi): http://msdn.microsoft.com/en-us/library/hh680918
• Hosted services that can be used to monitor and autoscale your Windows Azure applications include AzureWatch from Paraleap Technologies and AzureOps from Opstera.
• Auto-Scaling on Amazon Web Services: http://aws.amazon.com/autoscaling
• Ticket Direct case study that sharded databases then consolidated depending on ticket sales: New Zealand-based TicketDirect International: http://www.microsoft.com/casestudies/Case_Study_Detail.aspx?CaseStudyID=4000005890

第五章

• Life beyond Distributed Transactions: an Apostate’s Opinion (by Pat Helland): http://www-db.cs.wisc.edu/cidr/cidr2007/papers/cidr07p15.pdf
• CAP Twelve Years Later: How the “Rules” Have Changed (by Eric Brewer): http://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed
• Introducing BASE: http://queue.acm.org/detail.cfm?id=1394128
• Introducing Eventual Consistency: http://queue.acm.org/detail.cfm?id=1466448
• Eventual consistency in CloudFront: http://docs.amazonwebservices.com/AmazonCloudFront/latest/DeveloperGuide/Concepts.html
• Google BigTable: https://developers.google.com/appengine/docs/python/datastore/overview
• Amazon Dynamo SOSP paper: http://www.allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf
• Azure Storage SOSP paper: http://sigops.org/sosp/sosp11/current/2011-Cascais/printable/11-calder.pdf

第六章

• Hadoop: http://hadoop.apache.org
• Hadoop on Windows Azure: http://www.hadooponazure.com

第七章

• An Unorthodox Approach to Database Design: The Coming of the Shard from High Scalability blog: http://highscalability.com/unorthodox-approach-database-design-coming-shard.

• The official source for learning about Federations in Windows Azure SQL Database.

• For anyone interested in Federations for Windows Azure SQL Database, Cihan Biyikoglu's blog is a must-read. Some particularly useful posts are listed below.

  • Implementing MERGE command using SQL Azure Migration Wizard by @gihuey: http://blogs.msdn.com/b/cbiyikoglu/archive/2012/02/20/implementing-alter-federation-merge-at-command-using-sql-azure-migration-wizard-by-gihuey.aspx.

  • Introduction to Fan-out Queries for Federations in SQL Azure (Part 1): Scalable Queries over Multiple Federation Members, MapReduce Style!: http://blogs.msdn.com/b/cbiyikoglu/archive/2011/12/29/introduction-to-fan-out-queries-querying-multiple-federation-members-with-federations-in-sql-azure.aspx.

• Integrated sharding support with Windows Azure SQL Database Federations: http://blogs.msdn.com/b/cbiyikoglu/archive/2012/02/08/connection-pool-fragmentation-scale-to-100s-of-nodes-with-federations-and-you-won-t-need-to-ever-learn-what-these-nasty-problems-are.aspx

• Federations: http://msdn.microsoft.com/en-us/magazine/hh848258.aspx

• Choosing a shard key in MongoDB: http://www.mongodb.org/display/DOCS/Choosing+a+Shard+Key

• SQL Azure Data Sync: http://msdn.microsoft.com/en-us/library/windowsazure/hh667301.aspx

• Windows Azure Table Storage service: http://www.windowsazure.com/en-us/develop/net/how-to-guides/table-services/

• Generating a GUID as a cluster key with NEWID for Federations on SQL Database: http://msdn.microsoft.com/en-us/library/ms190348.aspx

第八章

• Definition of multitenancy: http://en.wikipedia.org/wiki/Multitenancy
• Definition of commodity hardware: http://en.wikipedia.org/wiki/Commodity_hardware

第九章

• Definition of multitenancy: http://en.wikipedia.org/wiki/Multitenancy
• Transient Fault Handling Application Block (Topaz): http://msdn.microsoft.com/en-us/library/hh680934(v=PandP.50).aspx
• Scalability Targets for Windows Azure Storage: http://blogs.msdn.com/b/windowsazurestorage/archive/2010/05/10/windows-azure-storage-abstractions-and-their-scalability-targets.aspx
• Implementing Retry Logic on Windows Azure: http://www.davidaiken.com/2011/10/10/implementing-windows-azure-retry-logic/
• Fault isolation and recovery: http://www.faqs.org/rfcs/rfc816.html
• Chaos Monkey from Netflix: http://techblog.netflix.com/2011/07/netflix-simian-army.html

第十章

• Understanding Network Failures in Data Centers: Measurement, Analysis, and Im¬plications: http://research.microsoft.com/en-us/um/people/navendu/papers/greenberg09vl2.pdf
• How Windows Azure knows a Role Instance (node) is faulty: http://blogs.msdn.com/b/mcsuksoldev/archive/2010/05/10/how-does-azure-identify-a-faulty-role-instance.aspx
• Windows Azure Troubleshooting Best Practices: http://msdn.microsoft.com/en-us/library/windowsazure/hh771389.aspx
• Updating a Windows Azure deployment, including Fault Domains and Update Domains: http://msdn.microsoft.com/en-us/library/ff966479.aspx

第十一章

• Ping utility: http://en.wikipedia.org/wiki/Ping
• It’s the Latency Stupid essay: http://rescomp.stanford.edu/~cheshire/rants/Latency.html

第十二章

• On the importance of affinity groups: https://msmvps.com/blogs/nunogodinho/archive/2012/03/04/importance-of-affinity-groups-in-windows-azure.aspx

第十三章

• Windows Azure Toolkits for Mobile Devices (Android, iOS, Windows Phone, and more): https://github.com/WindowsAzure-Toolkits
• Restricting Access to Containers and Blobs Windows Azure: http://msdn.microsoft.com/en-us/library/windowsazure/dd179354
• Web Browser Same Origin Policy: http://en.wikipedia.org/wiki/Same_origin_policy
• Using a Shared Access Signature (REST API): http://msdn.microsoft.com/en-us/library/windowsazure/ee395415.aspx
• Rahul Rai’s sample code showing access to Windows Azure Blob Storage from HTML 5 Web Browser: http://code.msdn.microsoft.com/windowsazure/Silverlight-Azure-Blob-3b773e26
• Trusted Subsystem Design: http://msdn.microsoft.com/en-us/library/aa905320.aspx

第十四章

• Anycast protocol enables geographic load balancing for CDN: http://en.wikipedia.org/wiki/Anycast
• Windows Azure Media Service: https://www.windowsazure.com/en-us/home/features/media-services/
• Recorded talk on Windows Azure CDN: http://channel9.msdn.com/Events/TechEd/NorthAmerica/2011/COS401

第十五章

• Windows Azure SQL Data Sync service: http://msdn.microsoft.com/en-us/library/windowsazure/hh456371.aspx
• Windows Azure Traffic Manager: http://msdn.microsoft.com/en-us/wazplatformtrainingcourse_windowsazuretrafficmanager.aspx
• A Guide to Claims-Based Identity and Access Control: http://msdn.microsoft.com/en-us/library/ff423674.aspx
• Windows Azure Access Control Service: http://msdn.microsoft.com/en-us/library/windowsazure/gg429786.aspx
• Automating the Windows Azure Access Control Service (ACS): http://msdn.microsoft.com/en-us/library/gg185927.aspx
• ACS automation sample code: http://acs.codeplex.com/releases/view/57595
• SQL Azure Point In Time Restore now available in preview: http://www.microsoft.com/en-us/download/details.aspx?id=28364
• Business Continuity in Windows Azure SQL Database: http://msdn.microsoft.com/en-us/library/windowsazure/hh852669.aspx