1. Virtualization Techniques for Cloud Computing 2. Web
Download
Report
Transcript 1. Virtualization Techniques for Cloud Computing 2. Web
Introduction to Cloud
Computing
Prof. Shie-Jue Lee
Dept. of Electrical Engineering
National Sun Yat-sen University
Cloud Computing
“It’s one of the foundations of the next
generation of computing. . .. It’s a world
where the network is the platform for all
computing, where everything we think of as a
computer today is just a device that connects
to the big computer we’re building. Cloud
computing is a great way to think about how
we’ll deliver computing services in the future.”
—Tim O’Reilly, CEO, O’Reilly Media
High-Level Look
In many ways, cloud computing is simply a
metaphor for the Internet, the increasing
movement of compute and data resources
onto the Web.
High-Level Look
But there’s a difference:
Higher efficiency
massive scalability
faster, easier software development
It’s about new programming models, new IT
infrastructure, and the enabling of new
business models.
Why Cloud Computing
IT Efficiency + Economy
Delivering resources on demand
Reduce capital expenditures
Cut the cost of running a datacenter
Eliminate overprovisioning
Why Cloud Computing
Faster, More Flexible Programming
Accelerated cycles
Increase agility
Harnessing Cloud Computing
Use the Cloud
Leverage the Cloud
Development and testing
Functional offloading
Augmentation
Experimenting
Build the Cloud
Be the Cloud
Cloud Types
Public clouds:
Run by third parties, and jobs from many
different customers may be mixed together
on the servers, storage systems, and other
infrastructure within the cloud. End users
don’t know who else’s job may be me running
on the same server, network, or disk as their
own jobs.
Cloud Types
Private clouds:
Are a good option for companies dealing with
data protection and service-level issues.
Private clouds are on-demand infrastructure
owned by a single customer who controls
which applications run, and where. They own
the server, network, and disk and can decide
which users are allowed to use the
infrastructure.
Cloud Types
Hybrid clouds:
Combine the public and private cloud models.
You own parts and share other parts, though
in a controlled way. Hybrid clouds offer the
promise of on-demand, externally provisioned
scale, but add the complexity of determining
how to distribute applications across these
different environments.
Enabling Technologies
Horizontally scaled, distributed compute
nodes
Sophisticated file systems
Superscale cloud architectures
New techniques of data-intensive computing
Machine images can be instantly deployed
Cornerstone Technology
Virtualization — the abstraction of computer
resources — is the cornerstone technology
for all cloud architectures. With the ability to
virtualize servers (behind a hypervisorabstracted operating system), storage
devices, desktops, and applications, a wide
array of IT resources can now be allocated
on demand
Old Computers
Application
Operating
System
Hardware
By Virtualization
Application
Operating
System
Hypervisor
Hardware
Virtualization -- a Server for Multiple
Applications/OS
Application
Application
Operating
System
Application
Application
Application
Application
Operating
Operating
System
Operating
Operating
System
Operating
System
System
System
Hypervisor
Hardware
Hardware
Service Layers
Software as a Service (SaaS)
Features a complete application offered as a
service, ondemand, via multitenancy
meaning a single instance of the software
runs on the provider’s infrastructure and
serves multiple client organizations.
Service Layers
Platform as a Service (PaaS)
Is the encapsulation of a development
environment abstraction and the packaging of
a payload of services. PaaS offerings can
provide for every phase of software
development and testing.
Service Layers
Infrastructure as a Service (IaaS)
Is a means of delivering basic storage and
compute capabilities as standardized
services over the network. Servers, storage
systems, switches, routers, and other
systems are pooled (through virtualization
technology, for example) to handle specific
types of workloads.
Inside the Cloud
Virtualization
Higher utilization rates
Resource consolidation
Lower power usage/costs
Space savings
Disaster recovery/business continuity
Reduced operations costs
Inside the Cloud
Virtualization
Operating System Virtualization
Platform Virtualization
Network Virtualization
Application Virtualization
Inside the Cloud
Software Deployment
Software Packaging
Machine Images