john willis cc use cases

Cloud Computing Use Cases

Johnmwillis.com

@botchagalupe

Cloud Computing Definition

“Cloud computing is a model for enabling convenient, on-demand network access to a

shared pool of configurable computing resources (e.g., networks, servers, storage,

applications, and services) that can be rapidly provisioned and released with minimal

management effort or service provider interaction. This cloud model promotes

availability and is composed of five essential characteristics, three delivery models,

and four deployment models”.

NIST

Definition of Cloud Computing, Draft version 14

http://csrc.nist.gov/groups/SNS/cloud-computing/index.html

Cloud Computing Defined

Five Characteristics:

On Demand Service

Ubiquitous Network Access

Location Independent Resource Pooling

Rapid Elasticity

Measured Service

Delivery Models

Software as a Service (SaaS)

Platform as a Service (PaaS)

Infrastructure as a Service (IaaS)

Deployment Models

Private Cloud

Community Cloud

Public Cloud

Hybrid Cloud

NIST

Definition of Cloud Computing, Draft version 14


Base Definition of a Cloud

Abstraction of the

infrastructure


OS Virtualization

Hypervisor Virtualization

Micro Hypervisors


What Should a Cloud Be?

• Provide zero touch services to cloud

customers

• Run a data center like a modern factory

• Reduce headcount

• Provide the appearance of unlimited

resources

• An environment resources no servers

• Provides ephemeral thinking

• Governs and brokers resources


Is this a cloud?

Server-101

Server-102

Server-103

Server-201

Server-201

Server-800

Server-901

Server-903

Server-990

Server-A01

Server-A01


Is this a cloud

Server-101

Server-102

Server-103

Server-201

Server-201

Server-800

Server-901

Server-903

Server-990

Server-A01

Server-A01


Is this a cloud?

NodesCloud Front End

Cloud Providers

• IaaS• Amazon

• Rackspace

• Canonical (UEC)

• PaaS• Google App Engine

• Azure

• Force

• SaaS• Sales Force

• Google Apps

• NetSuite


Open Source Clouds (IaaS)

• Eucalyptus

• NASA, UEC (Canonical), Eli Lilly

• OpenNebula

• Cloud provisioning

• Nimbus

• UK National Cloud, Science Clouds


Open Source Clouds (PaaS)

• Apscale

• UCSB (same folks as Eucalyptus)

• Webappvm

• Java

Cloud Computing and Open Source

• XEN - External Hypervisor

• Amazon EC2

• Oracle VM

• Citrix XenServer

• KVM – Part of Linux

• Ubuntu

• Red Hat (Qumranet)

• IBM

• OpenSolaris - Zones - OpenVZ

• Containers

Server Virtualization


Open Source Cloud Tools

• OpenVPN

• CloudNet

• Chef from Opscode

• Puppet

• Nanite

• ControlTier

• rPath

• CohesiveFT

• RightLink (RightScale)

• PoolParty

• Scalr


1. Go Big or Go Home

2. End User Cloud

3. Enterprise to Cloud to End User

4. Enterprise to Cloud

5. Enterprise to Cloud to Enterprise

6. Private Cloud

7. Changing Cloud Vendors

8. Hybrid Cloud

Topics


Go Big of Go Home

• Google

• Big Data

• Animoto

• NY Times

• DOD


Sort Benchmarks (10B 100 byte records)

• 2007 – 1TB 5 minutes (400 nodes)

• 2008 - 1TB 3.48 minutes (910 nodes)

• 2009 - 1/2TB 1 minute (1406 nodes)

• 2009 – 100TB 173 minutes (3452 nodes)


End User Cloud

• Digital Chalk

• Universities, Enterprise, Local Govt

• Soasta

• TurboTax, 2k servers, 120 hrs, 300k eFile

• VDI

• Cloud based virtual desktop

• Storage

• Killer app, Jungle Disk, CloudBerry

• Google Apps

• DC Local Gov, GE


Enterprise to Cloud to End User

• Eli Lilly

• Amazon WEB Services

• Virgin Atlantic

• Just like their planes

• Google App Engine

• Resurgence of the ISV

• Force

• RFP, Recruiting, Time Tracking


Enterprise to Cloud

• General Electric

• Outsorced bakups to EMC

• Wall Street

• Monte Carlo Simulation

• General Electric

• Marketing Campaign

• Manufacturing

• Oracle-Siebel

• Closing the Books

• DB2 – 4 Days to one night


Enterprise to Cloud to Enterprise

• Harvard Medical School

• Oracle

• Working with Multiple Hospitals

• Filtering data

• Avatar Data

• Deidentification


Private Cloud

• Large News Agency

• Big Data Analysis

• Hadoop

• Myspace/Facebook


Hadoop

• Pioneered by Google

• Parallel processing of large data sets

• Processed across many computers

• Highly fault tolerant

• Splits work into two steps

Map

Reduce


Hadoop

• Map translates to Keys and Values

[K1,V1] [K2,V2]

• System Sorts the keys and groups

[K2,V2] [K2,{V2,V2,…}]

• Reduce translates the values of each key

[K2,{V2,V2,…}] [K3,V3]


Word Count

• Map translates to Keys and Values

[0,”when in the …] [“when”,1] [“in”,1] […,1]

• Group

[“when”,{1,1,1,1,1}]

• System Sorts the keys and groups

[[“when”,{1,1,1,1,1}] [“when”,5]


Examples

• Rackspace Mailtrust

• Silverpop


Flightcaster

• Heruko (UI)

• Cloudera Hadoop

• Cascading

• Clojure (JVM)

• Lisp (parsing)


Changing Cloud Vendors

• Amazon to Rackspace


Hybrid Cloud

• Cloud Brokers

• Bridging

• Motion

• Brokers


Hybrid Cloud

• Cloud Brokers

• Elastra

• CloudSwitch

• enStratus


Cloud Broker Baseline

• Network Overlays

• VPC, Isolation, Containment

• Security

• Federated ID, Crypto, Key Mgmt

• Application

• Application Templates

• Self Service

• Resource registration, broadcasting

• Process

• ITSM, ITIL


Cloud Broker’s Stage 1


• VPC L3 mostly, Virtual Switches

• Security

• Federated ID, Crypto, Key Mgmt

• Application

• Application Templates

• Self Service

• Resource registration, broadcasting

• Process

• Administration




• VPC L2

• Security

• Micro Virtualization Containment

• Application

• Application Templates Movement

• Self Service

• Application resource registration/b

• Process

• ITSM/ITIL/COBIT




• Complete Isolation, Quatum Security

• Security

• Complete Isolation, Homomorphic Encryption

• Application

• Interchngle Service Exchnge

• Self Service

• Arbitrage

• Process

• Geopolitics, International Currencies

john willis cc use cases

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