1. Introduction to Cloud Computing and the Aneka Platform
Dr. Rajkumar Buyya
Cloud Computing and Distributed Systems (CLOUDS) Lab Dept. of Computing and Information Systems The University of Melbourne, Australia
Major Sponsors/Supporters

2. The Next Revolution in IT The Big Switch in IT
Classical Computing
Buy & Own
Hardware, System Software, Applications often to meet peak needs.
Install, Configure, Test, Verify, Evaluate
Manage ..
Finally, use it
$$$$....$(High CapEx)
Cloud Computing
Subscribe
Use
$ - pay for what you use, based on QoS
Every 18 months?

3. Outline “Computer Utilities” Cloud Computing and Related Paradigms
Vision and Promising IT Paradigms/Platforms
Cloud Computing and Related Paradigms
Trends, Definition, Cloud Benefits and Challenges
Market-Oriented Cloud Architecture
SLA-oriented Resource Allocation
Global Cloud Exchange
Aneka: Cloud Application Platform
Summary and Thoughts for Future

4. “Computer Utilities” Vision: Implications of the Internet
1969 – Leonard Kleinrock, ARPANET project
“As of now, computer networks are still in their infancy, but as they grow up and become sophisticated, we will probably see the spread of “Computer Utilities”, which, like present electric and telephone utilities, will service individual homes and offices across the country”.
During the last 40 years, several advances have taken place in both “computing” and “communications” areas that are turning the vision of “Computer Utilities” in to a reality.

5. Attributes/Capabilities
Computing Paradigms and Attributes: Realizing the ‘Computer Utilities’ Vision } ?
Web
Data Centres
Utility Computing
Service Computing
Grid Computing
P2P Computing
Market-Oriented Computing
Cloud Computing … +
-Ubiquitous -Reliable
Scalable
Autonomic
Dynamic discovery
Composable
-QoS
-SLA
- …
Trillion $ business
Paradigms
Attributes/Capabilities

6. Outline “Computer Utilities” Cloud Computing and Related Paradigms
Vision and Promising IT Paradigms/Platforms
Cloud Computing and Related Paradigms
Trends, Definition, Cloud Benefits and Challenges
Market-Oriented Cloud Architecture
SLA-oriented Resource Allocation
Global Cloud Exchange
Aneka: Cloud Application Platform
Summary and Thoughts for Future

7. Very popular: too many are “In Search” of Cloud Computing

8. Open Data Center Alliance (ODCA) for Cloud Computing

9. Defining Clouds: There are many views for what is cloud computing?
Over 20 definitions:
Renting “remote storage”  backup
Renting “remote server”  hosting Web server
Renting “remote more servers”  to manage large workload
Buyya’s Scientific definition of Cloud Computing 
“Cloud is a market-oriented distributed computing system consisting of a collection of inter-connected and virtualised computers that are dynamically provisioned and presented as one or more unified computing resources based on service-level agreements (SLAs) established through negotiation between the service provider and consumers.”
SLA = {negotiated and agreed QoS parameters + rewards + penalties for violation of agreement....}

10. Subscription-Oriented Cloud Services: X{compute, apps, data,
Subscription-Oriented Cloud Services: X{compute, apps, data, ..} as a Service (..aaS)
Public Cloud
Cloud Manager
Private
Cloud
Clients
Other
Cloud Services
Govt.
Cloud Services

11. Rentable Cloud Services
Infrastructure as a Service (IaaS)
CPU, Storage: Amazon.com, Nirvanix, GoGrid….
Platform as a Service (PaaS)
Google App Engine, Microsoft Azure, Manjrasoft Aneka..
Software as a Service (SaaS)
SalesForce.Com
Software as a Service (SaaS)
Platform as a Service (PaaS)
Infrastructure as a Service (IaaS)
....

12. Cloud Deployment Models
Public/Internet Clouds
3rd party, multi-tenant Cloud
infrastructure & services:
* available on subscription basis
Private/Enterprise Clouds
Cloud model run within a company’s own Data Center / infrastructure for internal and/or partners use.
Hybrid/Inter Clouds
Mixed usage of private and public Clouds: Leasing public cloud services when private cloud capacity is insufficient

13. Cloud Applications Scientific/Tech Applications Business Applications
Consumer/Social Applications
Science and Technical Applications
Business Applications
Consumer/Social Applications

14. When will Cloud spending become 50% of IT spending or reach to a trillion $ business/year?
2000
600?
1000?
30%
50%
120?
15%
2016
2020?
2020?
Buyya’s Guestimate!

15. Cloud Computing Challenges: Dealing with too many issues
Resource Metering
Billing
Pricing
Scalability
Reliability
Virtualization
QoS
Service Level
Agreements
Energy Efficiency
Provisioning
on Demand
Utility & Risk Management
Security
Privacy
Trust
Legal & Regulatory
Uhm, I am not quite
clear…Yet another
complex IT paradigm?
Software Eng. Complexity
Programming Env. & Application Dev.

16. Outline “Computer Utilities” Cloud Computing and Related Paradigms
Vision and Promising IT Paradigms/Platforms
Cloud Computing and Related Paradigms
Trends, Definition, Cloud Benefits and Challenges
Market-Oriented Cloud Architecture
SLA-oriented Resource Allocation
Global Cloud Exchange
Aneka: Cloud Application Platform
Summary and Thoughts for Future

17. Market-Oriented Cloud Architecture: QoS negotiation and SLA-based Resource Allocation

18. Cloud to expand (lease more resources) with increase in demand

19. Cloud to shrink (unlease resources) with decrease in demand

20. Outline “Computer Utilities” Cloud Computing and Related Paradigms
Vision and Promising IT Paradigms/Platforms
Cloud Computing and Related Paradigms
Trends, Definition, Cloud Benefits and Challenges
Market-Oriented Cloud Architecture
SLA-oriented Resource Allocation
Global Cloud Exchange
Aneka: Cloud Application Platform
Summary and Thoughts for Future

21. Multiple Applications Multiple Infrastructures
Aneka: The Cloud Application Platform (CAP) for Resource-Intensive Apps (Available as Manjrasoft Product)
Lightweight Container hosting multiple services.
All programming models available from within the same container (unlike others)
SDK containing APIs for multiple programming models and tools
Runtime Environment for managing application execution management
Suitable for
Development of Enterprise Cloud Applications
Cloud enabling legacy applications
Portability for Customer Apps:
Enterprise ↔ Public Clouds
.NET/Win ↔ Mono/Linux
Multiple Applications
Thread
Task
...
MapReduce
1. SDK
Aneka
2. Runtime
Multi-core
Cluster
Grid
Cloud
2100
Multiple Infrastructures

22. Aneka: The Cloud Application Platform (CAP) for Resource-Intensive Apps (Available as Manjrasoft Product)
Lightweight Container hosting multiple services.
All programming models available from within the same container (unlike others)
SDK containing APIs for multiple programming models and tools
Runtime Environment for managing application execution management
Suitable for
Development of Enterprise Cloud Applications
Cloud enabling legacy applications
Portability for Customer Apps:
Enterprise ↔ Public Clouds
.NET/Win ↔ Mono/Linux
Patent (PCT)

23. Aneka as a Cloud Application Platform
Application Development
Applications
& Services
Cloud Middleware
Aneka
Scheduling & Execution
Monitoring
Billing
SLA & QoS
User
Management
Application
Dynamic
Provisioning
Bag of Tasks
Dist. Threads
MapReduce …
Platform
Infrastructure
Datacenters
Clusters
Desktop PCs
Public Clouds

24. Programming / Deployment Model
Aneka: components
public DumbTask: ITask { …
public void Execute() …… }
Programming / Deployment Model
Aneka enterprise Cloud
for(int i=0; i<n; i++) { …
DumbTask task = new DumbTask();
app.SubmitExecution(task); }
Executor
Executor
work units
Client Agent
Executor
Scheduler
internet
work units
Executor
Aneka Worker
Service
Aneka Manager
Client Agent
internet
Aneka User Agent

25. Aneka - Dynamic deployment of Application Tasks on Clouds
Aneka Workker/Executor
Aneka Application
Aneka
Manager
Manager / Executor
Aneka Threads

26. Aneka Support for InterCloud / Federation of Resource Pools
XenServer Pool
Aneka + Xen Server private Cloud
VMWare Pool
Aneka + VMWare private Cloud
Amazon EC2 Pool
Aneka + public EC2
Windows Azure
Aneka + public Azure
Executor
Executor
Executors
Scheduler
private enterprise
network
Scheduler
internet
publicly available resources
(physical and virtual)
Private Cloud
VPN
(virtual resources)
Executors/Schedulers
Client Libraries
Public Cloud

27. Aneka Case Studies

28. (GoFront: A unit of China Southern Railway Group)
Application: Locomotive design CAD rendering
Raw Locomotive Design Files
(Using AutoDesk Maya)
Using Maya Graphical Mode Directly
Case 1: Single Server
4 cores server
Aneka Maya Renderer
Use private Aneka Cloud
GoFront Private Aneka Cloud
LAN network
(Running Maya Batch Mode on demand)
Case 2: Aneka Enterprise Cloud
Aneka utilizes idle desktops (30) to decrease task time from days to hours
Time (in hrs)
Single Server
Aneka Cloud

29. A scalable architecture for TitanStrike on-line Gaming Portal
TitanStrike Private Aneka Cloud
LAN network
(Running Game plugins on Demand)
Case 2: Aneka Enterprise Cloud = Scalability
Aneka-based GameController
The local scheduler interacts with Aneka and distributes the load in the cloud.
Distributed
log parsing
logs
Case 1: Single Server = Huge Overload
Single scheduler controlling the execution of all the matches.
Game Servers
Gamers profiles
Players statistics
Team playing
Multiple games
Titan Strike On Line Gaming Portal
Centralized
log parsing
logs
Single GameController

30. Indian Space Research Organization (ISRO) - ADRIN
Distribution
Aneka Cloud
Receiving station
processing
Private Cloud
Citrix Xen
Public Cloud
Amazon AWS
Archiving

31. Health Care: SaaS Cloud for ECG Sensor Data Analysis

32. IEEE Scalable Computing Challenge at CCGrid 2010 Conference

33. Global Recognition for Aneka: Frost, Telstra….
-> 2010 Frost & Sullivan "New Product Innovation" Award
-> 2011 Telstra Innovation Challenge, “People’s Choice” Award

34. Outline “Computer Utilities” Cloud Computing and Related Paradigms
Vision and Promising IT Paradigms/Platforms
Cloud Computing and Related Paradigms
Trends, Definition, Cloud Benefits and Challenges
Market-Oriented Cloud Architecture
SLA-oriented Resource Allocation
Global Cloud Exchange
Aneka: Cloud Application Platform
Summary and Thoughts for Future

35. Summary
Several Computing Paradigms have promised to deliver “Computing Utilities” vision:
Cloud Computing is the most recent kid in the block promising to turn vision into reality
Many exciting business and consumer applications enabled.
Aneka is rapidly emerging as a platform for:
Building Clouds (especially “private”) and their apps.
Accelerating Applications and Managing their execution.
Already used in engineering, life science, gaming, and business intelligence applications.

36. Wiley Press, New York, USA, Feb 2011
References
Quick Overview:
Rajkumar Buyya and Karthik Sukumar, Platforms for Building and Deploying Applications for Cloud Computing, CSI Communications, Vol.35, No. 1, Pages: 6-11, ISSN X, Computer Society of India (CSI), Mumbai, India, May 2011.
Aneka:
C. Vecchiola, X. Chu, and R. Buyya, Aneka: A Software Platform for .NET-based Cloud Computing, High Speed and Large Scale Scientific Computing, pp, IOS Press, Amsterdam, Netherlands, 2009.
Software – download:
Wiley Press, New York, USA, Feb 2011