1 NETE4631 Using Google Web Services and Using Microsoft Cloud Services Lecture Notes #7

Amazon Web Services – Recap 2

Amazon Cloud Offerings – Recap (2) 3

Lecture Outline Google Web Services Google Applications Cloud-based User Applications Google Adwords Google Analytics Google Translate Enterprise Applications Google App Engine (GAE) 4

Google Applications User Applications (SaaS) Google Docs Google Mail Google Maps Enterprise application Google Toolkit for developers AJAX APIs Google Web Toolkit Android Google App Engine (PaaS) 5

User Applications Revolving around indexed search technologies Web crawlers The number of links, keywords, how long the site has been available, traffic to the site or page Aggregation and summary Google Finance Productivity application Gmail, google docs Others – Google Adwords/ Google Analytics/ Google Translate 6

Google Finance 7

Google Products 8

Google Adwords The most importance commercial part of Google’s activities Determine which ads to match to the user searches How it works Advertisers bid on keywords Pay-per-click advertising Measured quality score for ads using CTR (click-through rate) 9

Google Translate 10

Google Analytics 11

Google App Engine 12

User Applications (2) - Enterprise Applications Google commerce search Google site search Google search appliance Google mini Google Apps for business (office suits) 13

Google Apps 14

Google Toolkit for developers - Google App Engine 15

Google App Engine (GAE) Build web applications on the infrastructure that is used for Google’s own web application Write code and deploy You write, Google App Engine takes care of the rest Absorb spikes in traffic Scalability managed by Google App Engine’s components Easily integrate with other Google services Exploit Google’s component library for routine tasks 16

Support Features for GAE Dynamic Web Services Automatic scaling Authentication using Google Account Persistence Storage (Google Cloud Storage) Task queues and task scheduling A client-side deployment environment Support for Java or Python Database (NoSQL schemaless VS Google Cloud SQL 17

Pricing Models Free application development and deployment (a certain level of resource consumption) Pricing scheme 18

Lecture Outline Using Microsoft Cloud Services Exploring Microsoft Cloud Services Windows Azure Platform Pricing Models Cloud Providers Comparison 19

Exploring Microsoft Cloud Services 20

Windows Azure Platform Provides support for.NET, Java, Node.js and PHP. Automatically manage Hardware Application deployment Resource scaling Application availability 21

Windows Azure Platform Azure The Fabric Control (Hypervisor (Hyper-V)) Regulates hosting environment by pooling individual computers, load balancing, data replications and other tasks Storage mechanism Three storages (Blobs, Tables, and Queues) Compute Service Enables Azure to host user applications Load-balance window server configuration 22

Windows Azure Platform (2) Other Components Microsoft SQL Services –Database services and reporting Structured, Semi-structured, and unstructured data Microsoft.Net Services –Service-based implementation of.NET framework Developer-oriented services –available through REST, SOAP, and HTTP 23

Windows Azure Platform (3) Live Services Information provider for getting started with Windows Live SharePoint Service Microsoft Dynamic CRM 24

Pricing models Pricing based on computing, storage, network utilization, access control schemes, caching, Data storage and transfer. 25

Microsoft Azure Calculator 26

Cloud Providers Comparison AWS – a deployment enabler Google – a development platform Microsoft – a complimentary platform to its other platforms (software plus service approach) 27

References Chapter 8, 10 of Course Book: Cloud Computing Bible, 2011, Wiley Publishing Inc. us/library/windowsazure/dd aspx us/library/windowsazure/dd aspx 28