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Simple stock market analysis

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Implement a simple stock market analysis program with Google App Engine and Google Web Toolkit,

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Simple Stock Market Analysis Cloud Computing LinaQu Independent Study instructed by Dr. Yacobellis 2011.05.10
Outline Introduction Cloud Computing Google App Engine™ platform Google Web Toolkit Simple Stock Market Analysis References
1. Introduction Using the cloud computing platform, Google App Engine™ platform in this case, together with Google Web Toolkit to develop and deploy a simple program ---- Simple Stock Market Analysis. Through this project, we can learn briefly: ,[object Object]
Google App Engine(GAE) as develop platform;
Google Web Toolkit(GWT) as a development toolkit;
Big Table as a distributed storage system;
An example project actually runs on GAE.,[object Object]
2. Cloud Computing 2.2 Key characters of Cloud Computing ,[object Object]
Broad network access
Resource pooling
Rapid elasticity
Measured Service,[object Object]
2. Cloud Computing 2.3 Service models of Cloud Computing
3. Google App Engine™ platform 3.1 What is Google App Engine? It lets you run your web applications on Google’s infrastructure. Visit here for more information. Google App Engine FAQ. Sample Apps Code is here.
3. Google App Engine™ platform 3.2 Why Google App Engine? ,[object Object]
Easy to get Started[17]
Simple app configuration
Easy to maintain
Cost efficient hosting
Risk free trial period
The reliability, performance and security of Google's infrastructure
Easy to scale
Automatic scalability
APIs,[object Object]
3. Google App Engine™ platform 3.3 Google App Engine Architecture The App Engine request handling architecture[13].
3. Google App Engine™ platform 3.4 Key Concepts in Google App Engine ,[object Object],-Security; It isolates your application in its own secure, reliable environment ; the hardware, operating system and physical location of the web server.
3. Google App Engine™ platform 3.4 Key Concepts in Google App Engine ,[object Object],-It uses the distributed Google File System(GFS[25]) to store log and data files. -It uses Google SSTable file format to store data. (persistent, ordered immutable map from keys to values) -It relies on a highly-available and persistent distributed lock service called Chubby. -It is designed to scale to a very large size. -It does not support a full relational data model.
3. Google App Engine™ platform 3.4 Key Concepts in Google App Engine ,[object Object],-Abstraction on top of Bigtable; It provides a scalable, transactional storage system for creating, storing, and querying data objects. -Two data storage options[18, 19]: The Master/Slave Datastore and the High Replication Datastore. - APIs For Java: Java Data Objects(JDO) 2.3 and Java Persistence API (JPA) 1.0
3. Google App Engine™ platform 3.4 Key Concepts in Google App Engine ,[object Object],[object Object]
index.yaml;  the development server automatically determines the index configuration for you[22].
Properties are automatically indexed by type+value[15, 21].
Queries-JDOQL:  is similar to SQL, but is more appropriate for object-oriented databases like the App Engine datastore. -GQL[24]: is a SQL-like language for retrieving entities or keys from the App Engine scalable datastore.
3. Google App Engine™ platform 3.5 Develop Web app with Google App Engine GAE Application Development Cycle[10]
3. Google App Engine™ platform 3.6 Managing Your App
3. Google App Engine™ platform 3.6 Managing Your App ,[object Object],-5M pageviews/month -Channel API Calls: 657K calls -Stored Data: 1GB -Datastore API Calls: 141M calss -Number of Indexes: 200 -Requests(includes HTTPS): 43.2M requests -CPU Time: 6.5 CPU-hours/day -Task Queue API Calls: 100K -UrlFetch API Calls: 657K calls -XMPP API Calls: 46M calls
3. Google App Engine™ platform 3.6 Managing Your App
3. Google App Engine™ platform 3.7 Support ,[object Object]
Java 6
Common Java web technology standards
Plugin for the Eclipse IDE
Other languages: JRuby, JavaScript(Thino), Scala.
Spring, Struts 1&2, Apache Commons FileUpload, etc.
Python[27]-Complete Python standard library -Django -CGI or WSGI
3. Google App Engine™ platform 3.8 Summary in Google App Engine Strengths  - Python, Java support. (with SDK) - Collections of APIs. - Dashboard. - Generous Quotas lead to low entry cost. - GFS, Bigtable
3. Google App Engine™ platform 3.8 Summary in Google App Engine Weaknesses  - Non-relational database lead to many constraints. - Quotas' limit often cause substantial headaches for developers. - Impose on the basis of security, HTTPS/HTTP. - Not very stable version in 2011. - Being blocked in China
4. Google Web Toolkit 4.1 What is Google Web Toolkit? Google Web Toolkit (GWT) is a development toolkit for building and optimizing complex browser-based applications. It is Java Web development and let you develop and debug AJAX applications in the Java Language[40]. Visit here for more information. Google Web Toolkit showcase : here. Google Web Toolkit Widget Gallery.
4. Google Web Toolkit 4.2 Why is Google Web Toolkit? [38] Its goal is to enable productive development of high-performance web applications without the developer having to be an expert in browser quirks, HMLHttpRequest, and JavaScript. ,[object Object]
Code stable, efficient and cross-browser apps (include mobile), offline compatible.
Developer friendly, IDE support etc.,[object Object]
5. Simple Stock Market Analysis 5.1 Functions ,[object Object]
Display the users' stock list
Search stock quote and save the quote for users
Remove specific stock from users’ stock list
Log out,[object Object]
IE, Chrome Compatible

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Simple stock market analysis

  • 1. Simple Stock Market Analysis Cloud Computing LinaQu Independent Study instructed by Dr. Yacobellis 2011.05.10
  • 2. Outline Introduction Cloud Computing Google App Engine™ platform Google Web Toolkit Simple Stock Market Analysis References
  • 3.
  • 4. Google App Engine(GAE) as develop platform;
  • 5. Google Web Toolkit(GWT) as a development toolkit;
  • 6. Big Table as a distributed storage system;
  • 7.
  • 8.
  • 12.
  • 13. 2. Cloud Computing 2.3 Service models of Cloud Computing
  • 14. 3. Google App Engine™ platform 3.1 What is Google App Engine? It lets you run your web applications on Google’s infrastructure. Visit here for more information. Google App Engine FAQ. Sample Apps Code is here.
  • 15.
  • 16. Easy to get Started[17]
  • 18. Easy to maintain
  • 21. The reliability, performance and security of Google's infrastructure
  • 22. Easy to scale
  • 24.
  • 25. 3. Google App Engine™ platform 3.3 Google App Engine Architecture The App Engine request handling architecture[13].
  • 26.
  • 27.
  • 28.
  • 29.
  • 30. index.yaml;  the development server automatically determines the index configuration for you[22].
  • 31. Properties are automatically indexed by type+value[15, 21].
  • 32. Queries-JDOQL:  is similar to SQL, but is more appropriate for object-oriented databases like the App Engine datastore. -GQL[24]: is a SQL-like language for retrieving entities or keys from the App Engine scalable datastore.
  • 33. 3. Google App Engine™ platform 3.5 Develop Web app with Google App Engine GAE Application Development Cycle[10]
  • 34. 3. Google App Engine™ platform 3.6 Managing Your App
  • 35.
  • 36. 3. Google App Engine™ platform 3.6 Managing Your App
  • 37.
  • 39. Common Java web technology standards
  • 40. Plugin for the Eclipse IDE
  • 41. Other languages: JRuby, JavaScript(Thino), Scala.
  • 42. Spring, Struts 1&2, Apache Commons FileUpload, etc.
  • 43. Python[27]-Complete Python standard library -Django -CGI or WSGI
  • 44. 3. Google App Engine™ platform 3.8 Summary in Google App Engine Strengths  - Python, Java support. (with SDK) - Collections of APIs. - Dashboard. - Generous Quotas lead to low entry cost. - GFS, Bigtable
  • 45. 3. Google App Engine™ platform 3.8 Summary in Google App Engine Weaknesses  - Non-relational database lead to many constraints. - Quotas' limit often cause substantial headaches for developers. - Impose on the basis of security, HTTPS/HTTP. - Not very stable version in 2011. - Being blocked in China
  • 46. 4. Google Web Toolkit 4.1 What is Google Web Toolkit? Google Web Toolkit (GWT) is a development toolkit for building and optimizing complex browser-based applications. It is Java Web development and let you develop and debug AJAX applications in the Java Language[40]. Visit here for more information. Google Web Toolkit showcase : here. Google Web Toolkit Widget Gallery.
  • 47.
  • 48. Code stable, efficient and cross-browser apps (include mobile), offline compatible.
  • 49.
  • 50.
  • 51. Display the users' stock list
  • 52. Search stock quote and save the quote for users
  • 53. Remove specific stock from users’ stock list
  • 54.
  • 56.
  • 57.
  • 58.
  • 59.
  • 60.
  • 61.
  • 62.
  • 63.
  • 64.
  • 65.
  • 66. 5. Simple Stock Market Analysis 5.5 Application Dashboard in Google App Engine
  • 67. 5. Simple Stock Market Analysis 5.5 Application Dashboard in Google App Engine
  • 68.
  • 69. The Users Java API[30]
  • 70. Google Web Toolkit[34]
  • 73.
  • 74. 6. Reference Will it play in App Engine for Java?: Lists the level of compatibility of various Java technologies and App Engine (Java). What's BigTable?: Read the Google research publication to find out. Cloud computing fundamentals: Aid you in assimilating the reality of the revolution, so you can use it for your own profit and well being. Stanford University Wiki – Google App Engine Project. Slatkin, Brett. Building Scalable Web Applications with Google App Engine. Google IO 2008. Ashcraft, Ken. Best Practices - Building a Production Quality Application on Google App Engine. Google IO 2008. Dan Sanderson, Programming Google App Engine. O’Reilly, GoogleTM Press. Getting Started: Java. Helpful sample from Google App Engine site.
  • 75. 6. Reference Presentation by Guido van Rossum. Google App Engine: Run your web applications on Google's infrastructure. Stanford EE Computer Systems Colloquium. 5 Nov 2008. Why App Engine. Brief explain why developers choose Google App Engine. Google App Engine Samples. A list of samples and its source code. Choosing a Datastore(Java). Comparing the Data Storage Options, choose the right one. Datastore Overview(Python). Barrett, Ryan. Under the Covers of the Google App Engine Datastore. Google IO 2008. Introduction to Indexes. Java Index Configuration Using YAML.
  • 76. 6. Reference Queries in JDO. GQL Reference. The Google File System.  Get a in-depth understanding of GFS. Google App Engine Articles. Articles related to Google App Engine in many aspects by category. Google App Engine Python SDK Release Notes. Google Web Toolkit Overview. GWT-RPC. Making Remote Procedure Calls in Google Web Toolkit. The Users Java API. Google App Engine applications can authenticate users who have Google Accounts My Stock Watcher. Reference for code.
  • 77. 6. Reference JSON. Official site of JSON. YAHOO! FINANCE disclaimer. See the page footer. Google Web Toolkit Home. Google Web Toolkit showcase. Google Web Toolkit Widget Gallery. Google Web Toolkit Gallery. Actual GWT Apps projects collection. What's New in GWT 2.3? Along with release notes. GWT + Gears : The browser is the platform. Brief introduction to GWT. Google Web Tookit(GWT). Slides by Sang Shin. Sun Microsystems, Inc.
  • 78. End Cloud Computing LinaQu Independent Study instructed by Dr. Yacobellis 2011.05.10