1 Cloud Computing: Vision, Tools, Technologies for Delivering
Computing as the 5 th Utility Slide 2 Cloud Computing: Vision,
Tools, and Technologies for Delivering Computing as the 5 th
Utility Dr. Rajkumar Buyya Cloud Computing and Distributed Systems
(CLOUDS) Lab Dept. of Computer Science and Software Engineering The
University of Melbourne, Australia www.cloudbus.org www.buyya.com
www.manjrasoft.com www. www.buyya.com www.manjrasoft.com Major
Sponsors/Supporters Slide 3 3 Outline Computer Utilities 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 Emerging Cloud Platforms Cloudbus: Melbourne
Cloud Computing Project Summary and Thoughts for Future Slide 4 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 ofcomputer
utilities, which, like present electric and telephone utilities,
will service individual homes and offices across the country
Computers Redefined 1984 John Gage, Sun Microsystems The network is
the computer 2008 David Patterson, U. C. Berkeley The data center
is the computer. There are dramatic differences between of
developing software for millions to use as a service versus
distributing software for millions to run their PCs 2008 The Cloud
is the computer Buyya! Slide 5 5 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 - } + Paradigms Attributes/Capabilities ? -Trillion $ business
Slide 6 6 Outline Computer Utilities 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
Emerging Cloud Platforms Cloudbus: Melbourne Cloud Computing
Project Summary and Thoughts for Future Slide 7 7 Gold rush: Too
many people are In Search of Cloud Computing! Legend: Cluster
computing, Grid computing, Cloud computing Slide 8 8 2009 Gartner
IT Hype Cycle of Emerging Technologies Slide 9 9 Defining Clouds:
There are many views for what is cloud computing? Over 20
definitions: http://cloudcomputing.sys-con.com/read/612375_p.htm
Buyyas definition "A Cloud is a type of parallel and distributed
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 established through negotiation between
the service provider and consumers. Keywords: Virtualisation (VMs),
Dynamic Provisioning (negotiation and SLAs), and Web 2.0 access
interface Slide 10 10 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 Infrastructure
as a Service (IaaS) Software as a Service (SaaS) Platform as a
Service (PaaS) Slide 11 11 Clouds based on Ownership and Exposure
Private/Enterprise Clouds Cloud computing model run within a
companys own Data Center / infrastructure for internal and/or
partners use. Public/Internet Clouds 3rd party, multi-tenant Cloud
infrastructure & services: * available on subscription basis
(pay as you go) Hybrid/Mixed Clouds Mixed usage of private and
public Clouds: Leasing public cloud services when private cloud
capacity is insufficient Slide 12 12 (Promised) Benefits of
(Public) Clouds No upfront infrastructure investment No procuring
hardware, setup, hosting, power, etc.. On demand access Lease what
you need and when you need.. Efficient Resource Allocation Globally
shared infrastructure, can always be kept busy by serving users
from different time zones/regions... Nice Pricing Based on Usage,
QoS, Supply and Demand, Loyalty, Application Acceleration
Parallelism for large-scale data analysis, what-if scenarios
studies Highly Availability, Scalable, and Energy Efficient
Supports Creation of 3 rd Party Services & Seamless offering
Builds on infrastructure and follows similar Business model as
Cloud Slide 13 13 Cloud opportunity in short term Slide 14 14 When
will Cloud spending become 50% of IT spending or reach to a several
trillion $ business/year? 120? 2016 15% 600? 2020? 30% 1000? 2020?
50% Buyyas Estimate! Slide 15 15 Cloud Computing Challenges:
Dealing with too many issues Uhm, I am not quite clearYet another
complex IT paradigm? Virtualization QoS Service Level Agreements
Resource Metering Billing Pricing Provisioning on Demand Utility
& Risk Management Scalability Reliability Energy Efficiency
Security Privacy Trust Legal & Regulatory Software Eng.
Complexity Programming Env. & Application Dev. Slide 16 16
Outline Computer Utilities 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
Emerging Cloud Platforms Cloudbus: Melbourne Cloud Computing
Project Summary and Thoughts for Future Slide 17 17 Realizing the
Computer Utilities Vision: What Consumers and Providers Want?
Consumers minimize expenses, meet QoS How do I express QoS
requirements to meet my goals? How do I assign valuation to my
applications? How do I discover services and map applications to
meet QoS needs? How do I manage multiple providers and get my work
done? How do I outperform other competing consumers? Providers
maximise Return On Investment (ROI) How do I decide service pricing
models? How do I specify prices? How do I translate prices into
resource allocations? How do I assign and enforce resource
allocations? How do I advertise and attract consumers? How do I
perform accounting and handle payments? Mechanisms, tools, and
technologies value expression, translation, and enforcement Slide
18 18 Market-based Systems = Self- managed and self-regulated
systems. Manage Complexity Supply and Demand Enhance Utility 1 3 2
penalty Slide 19 19 Market-oriented Cloud Architecture: QoS
negotiation and SLA- based Resource Allocation Slide 20 20 A
(Layered) Cloud Architecture Cloud resources Virtual Machine (VM),
VM Management and Deployment QoS Negotiation, Admission Control,
Pricing, SLA Management, Monitoring, Execution Management,
Metering, Accounting, Billing Cloud programming: environments and
tools Web 2.0 Interfaces, Mashups, Concurrent and Distributed
Programming, Workflows, Libraries, Scripting Cloud applications
Social computing, Enterprise, ISV, Scientific, CDNs,... Adaptive
Management Core Middleware User-Level Middleware System level User
level Autonomic / Cloud Economy Apps Hosting Platforms Slide 21 21
Outline 21 st Century Vision of Computing Promising Computing
Paradigms Cloud Computing and Related Paradigms Trends, Definition,
Characteristics, Architecture Market-Oriented Cloud Architecture
SLA-oriented Resource Allocation Global Cloud Exchange Emerging
Cloud Platforms Cloudbus: Melbourne Cloud Computing Project Summary
and Thoughts for Future Slide 22 22 Some Commercial-Oriented Cloud
platforms/technologies System Property Amazon EC2 & S3 Google
App Engine Microsoft Azure Manjrasoft Aneka FocusIaaSIaaS/PaaS PaaS
Service Type Compute (EC2), Storage (S3) Web apps Web and non-web
apps Compute/Data VirtualisationOS Level: XenApps containerOS
level/Hyper-V Resource Manager and Scheduler Dynamic Negotiation of
QoS None SLA-oriented/ Resource Reservation User Access Interface
EC2 Command-line Tools Web-based Administration Console Windows
Azure portal Workbench, Tools Web APIsYes Value-added Service
Providers YesNoYesNo Programming Framework Amazon Machine Image
(AMI) Python.NET framework Multiple App models in.NET languages
Slide 23 23 Many Cloud Offerings: Good, but new issues- vendor lock
in, scaling across clouds Complex decisions to make? IaaS PaaS SaaS
Public Cloud Private Cloud Hybrid Cloud VMWare Hypervisors Xen
Hyper-V Manjrasoft Aneka Amazon EC2 Amazon S3 Google AppEngine
Nirvanix Mosso Microsoft Azure Citrix XenServer Slide 24 24
InterCloud: Global Cloud Exchange and Market Maker Slide 25 25
Outline Computer Utilities 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
Emerging Cloud Platforms Cloudbus: Melbourne Cloud Computing
Project Summary and Thoughts for Future Slide 26 26 Cloudbus@CLOUDS
Lab: Melbourne Cloud Computing Initiative Market-Oriented Clouds
SLA-based Resource Management Global Cloud Exchange Elements:
Brokers Aneka .NET-based Cloud Computing PaaS for Enterprise and
Public Clouds Scaling Across Clouds (Meta Brokering) Harnessing
Compute resources Federation of clouds for application scaling
across distributed resources 3 rd Party Cloud Services (e.g.,
MetaCDN) Harnessing Storage resources Building Content Delivery
Networks using different vendors Storage Clouds Green Clouds / Data
Centers Energy Efficiency and QoS Oriented Resource Allocation
CloudSim: Toolkit for Simulation of Clouds Design and evaluation
for resource management policies & algorithms Slide 27 27
Aneka:.NET-based Cloud Computing 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 Slide 28 28 QoS Negotiation in Aneka Meta Negotiation
Registry DB Registries MN Middelware Meta- Negotiation Local SLA
Template Gridbus Broker Party 2 1. Publishing Service Consumer
Service Provider 2. Publishing, Querying 5. Negotiation API WSDL 6.
Service Invocation Local SLA Template Party 1 Amadeus Workflow
Amadeus Workflow Alternate Offers Negotiation Strategy Aneka
Alternate Offers Negotiation Strategy 4. Session Establishment 3.
Matching Handshaking Slide 29 29 Aneka: components public DumbTask:
ITask { public void Execute() { } for(int i=0; i
