Transcript Document 7167028

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What is cloud computing
Cloud computing discriminate
Cloud computing technology
Cloud computing products and market
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Cloud computing, at backside of this buzzword, is a concept like the flower
in the glass. Every enterprise and person, want to explain this concept by
their own benefits. But, if give a neutral definition to it, begin it here.
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Cloud computing is a resource delivery and usage model, it
means get resource (Hardware, software)via network. The
network of providing resource is called ‘Cloud’. The hardware
resource in the ‘Cloud’ seems scalable infinitely and can be
used whenever.
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New advances in processors, virtualization technology, distributed storage,
broadband Internet access , automated management and fast, inexpensive
servers have all combined to make cloud computing a compelling
paradigm.This vast process power is usually got with a distributed, largescale server cluster and server virtualization software.
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As a result, cloud computing has the potential to upend the software
industry entirely, as applications are purchased, licensed and run over the
network instead of a user's desktop. This shift will put data centers and their
administrators at the center of the distributed network, as processing power,
electricity, bandwidth and storage are all managed remotely. It affects not
only business models, but the underlying architecture of how we develop,
deploy, run and deliver applications.
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What is cloud computing
Cloud computing discriminate
Cloud computing technology
Cloud computing products and market
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Cloud computing is becoming one of the next industry buzz words. And it
has more or less relation with these words: grid computing, utility
computing, virtualization, server cluster, Dedicated server, Colocation.
Cloud computing infrastructure usually use virtualization technology, and is
built based on a server cluster, have nature relation to grid computing and
utility computing, and is use to compete with Dedicated server and
Colocation.
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Utility computing is a business model of providing computing resource， user get and use the
computing resource from service provider and pay for practically used resource. To say it simply,
it is a price model based on resource usage quantity. The main benefit of utility computing is
better economics. Corporate data centers are notoriously underutilized, with resources such as
servers often idle 85 percent of the time. This is due to overprovisioning — buying more
hardware than is needed on average in order to handle peaks (such as the opening of the Wall
Street trading day or the holiday shopping season), to handle expected future loads and to
prepare for unanticipated surges in demand. Utility computing allows companies to only pay
for the computing resources they need, when they need them.
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Utility computing is a business model, it is a type of price model to deliver
application infrastructure resource. Cloud computing is a computing model, relates
to the way we design, build, deploy and run applications that operate in a sharing
resources and boasting the ability to dynamically grow, shrink and self-heal. Utility
computing is often need a cloud computing infrastructure, but not must need.
Sameness, above the cloud computing, we can adopt utility computing, and, we can
adopt other price model.
Cloud computing
Utility computing
Monitor
Meter
Billing
Pay
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Distributed computing deals with hardware and software systems containing more
than one processing element or storage element, concurrent processes, or multiple
programs, running under a loosely or tightly controlled regime.In distributed
computing， a program is split up into parts that run simultaneously on multiple
computers communicating over a network. Distributed computing is a form of
parallel computing, but parallel computing is most commonly used to describe
program parts running simultaneously on multiple processors in the same computer.
Both types of processing require dividing a program into parts that can run
simultaneously, but distributed programs often must deal with heterogeneous
environments, network links of varying latencies, and unpredictable failures in the
network or the computers.
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Grid computing is a term for either of two broad subcategories of distributed computing: 1
Online computation or storage offered as a service supported by a pool of distributed
computing resources, also known as utility computing, on-demand computing, or cloud
computing. Data grids provide controlled sharing and management of large amounts of
distributed data, often used in combination with computational grids. 2 The creation of a
"virtual supercomputer" composed of a network of loosely-coupled computers, acting in
concert to perform very large tasks. This technology has been applied to computationallyintensive scientific, mathematical, and academic problems through volunteer computing, and
it is used in commercial enterprises for such diverse applications as drug discovery, economic
forecasting, seismic analysis, and back-office data processing in support of e-commerce and
web services.
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Grid computing emphasizes on resource sharing, every grid node can apply
for resource from other nodes, and every node should contribute resource
to the grid. The focus of grid computing is on the ability of moving a
workload to the location of the needed computing resources, which are
mostly remote and are readily available for use. Grids also require
applications to conform to the grid software interfaces.
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Cloud computing emphasize on proprietary, every user out of the cloud can
get it’s own private resource from the cloud, and the cloud resource are
provided by the specific service provider, the user need not contribute its
resource. In a cloud environment, computing resources, such as servers, can
be dynamically shaped or carved out from its underlying hardware
infrastructure and made available to a workload. In addition, while a cloud
does support grid, a cloud can also support nongrid environments, such as a
three-tier Web architecture running traditional or Web 2.0 applications.
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Grid computing emphasizes on computing sensitive task, and is difficult to
automated scale. Cloud computing emphasizes on transactional application,
a great amount of separate request, and can scale automatically or
semiautomatically.
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A computer cluster is a group of coupled
computers that work together closely so
that in many respects they can be viewed
as though they are a single computer. The
components of a cluster are commonly,
but not always, connected to each other
through fast local area networks. Clusters
are usually deployed to improve
performance and/or availability over that
provided by a single computer, while
typically being much more cost-effective
than single computers of comparable
speed or availability.[1]
 Grids tend to be more loosely coupled,
heterogeneous,
and
geographically
dispersed, grid computers do not fully
trust each other.
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Virtualization is a broad term that refers to the abstraction of computer
resources. Virtualization hides the physical characteristics of computing
resources from their users, be they applications, or end users.[1] This
includes making a single physical resource (such as a server, an operating
system, an application, or storage device) appear to function as multiple
virtual resources; it can also include making multiple physical resources
(such as storage devices or servers) appear as a single virtual resource.[2]
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Virtualization technology is a aggregative term of technical means and
methods to implement virtualization. It can be divided to many types
based on objects: storage virtualization, computing virtualization,
network virtualization. Computing virtualization include：OS level
virtualization, application level virtualization, hyper visor. Hypervisor
include: host vm and guest vm.
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Compared to its brother buzzwords, cloud computing is just beginning. Trends in
usage of the terms from Google searches shows Cloud Computing is a relatively new
term introduced in the past year. There has also been a decline in general interest of
Grid, Utility and Distributed computing.
 Cloud Computing and Virtualization are the next hot hosting platforms; the
Dedicated server term is slowly starting to lose ground vs. Virtualization and Cloud
Computing.
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www.cloudcomputingchina.com
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What is cloud computing
Cloud computing discriminate
Cloud computing technology
Cloud computing products and market
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Fast Provision
Reduce servers scale
Increase resource utilization rate
Improve management efficiency
Lower maintenance cost
Location of infrastructure in areas with lower costs of
real estate and electricity
Provide business continuity service
Improve management efficiency
Improve service levels
Complex architecture
Change of business model and faith
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Lower client workload
Lower Total Cost Ownership
Separation of infrastructure maintenance duties from
domain-specific application development
Separation of application code from physical resources
Not have to purchase assets for one-time or infrequent
intensive computing tasks
Expand resource on-demand
Make the application have high availability
Quickly deploy application
Pay per use
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Self-healing
Multi-tenancy
Virtualized
Linearly Scalable
Resource Monitor and measure
Resource registration and discovery
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The physical hardware layer is
virtualized to provide a flexible
adaptive platform to improve
resource utilization.
The keys to new enterprise data
center infrastructure services
are the next two layers, the
virtualization environment and
management layer.
The combination of these two
layers ensure that resources in a
data center are efficiently
managed
and
can
be
provisioned, deployed, and
configured rapidly.
Continuous high availability
Cosistency
Interoperability and standarlization
Scalability of all components
Data secrecy
Legal and political problem of data store and
translation across regions
 Performance issue
 Difficulty customizing
 Organizational obstacle
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Privileged user access.
Regulatory compliance.
Data location.
Data segregation.
Recovery.
Investigative support.
Long-term viability.
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What is cloud computing
Cloud computing discriminate
Cloud computing technology
Cloud computing products and market
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The NY Times
Amazon EC2
Nasdaq
Amazon S3
Major League Baseball
Joyent
ESPN
Rightscale using Amazon EC2
Hasbro
Amazon EC2
British Telecom
3Tera
Taylor Woodrow
Google Apps
CSS
Amazon EC2
Activision
Amazon EC2
Business Objects (A SAP Company)
Rightscale using Amazon EC2
Software as a service
Everything is a service
Platform as a service
Infrastructure as a service
Cloud technology enabler
Hardware provider
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3Tera - AppLogic grid OS used as cloud computing platform by service providers
and enterprises
Appistry - Cloud computing middleware - Enables easily scalable cloud
computing in the enterprise.
Cassatt - Cassatt Active Response platform enables administrators to set policies
to power physical and virtual servers safely on and off and pool their computing
resources.
CloudHan - Cloud tech and infrastructure consultant, in China.
CloudScale Networks - Cloud enabler. Currently in private ALPHA only
Enomaly Inc - Service Provider & Cloud Enabler - Developer of the Enomalism
Elastic Computing Platform & Elastic Drive
Q-layer - provides software for data centers that enables cloud computing,
support VSAN, VLAN, VPDC, currently support VMware ESX.
Skytap - IaaS service optimized for QA, Training, Demo, and Ops
Testing. Supports VMware, Xen hypervisors & Windows, Linux & Solaris OS
guests.
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Agathon Group - Cloud provider. Services include highly available VPS, virtual
private datacenters and ready-to-use LAMP stacks. Self-service ordering. Custom
development and managed services available.
Amazon Web Services - Amazon EC2/S3 (Hardware-a-a-S & Cloud Storage)
CohesiveFT - CohesiveFT Elastic Server On-Demand
ElasticHosts - UK-based instant, on-demand servers in the cloud
Flexiscale - Another instant provisioner of web servers with some advanced
features like auto-scaling coming soon.
GoGrid - instant, on-demand servers offering "control in the cloud". Deploy
Windows/Linux servers via web-interface in minutes
GridLayer - Cloud Provider. A service by Layered Technologies that delivers
Virtual Private Datacenters and virtual private servers from grids of commodity
servers
LayeredTechnologies - Cloud Provider. provider of on-demand hosting and cloud
and utility computing solutions through its brand GridLayer
Mosso - Rackspace's cloud hosting service
Newservers - Instant provisioning of web servers either Windows or Linux
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Bungee Connect - Provides end to end tools and systems required to
develop, deploy and host web applications (Platform as a Service)
Coherence - Oracle Coherence Data Grid for EC2 and other cloud
platforms
Force.com - Salesforce.com's application development platform (PaaS)
GigaSpaces - middleware for the cloud, "cloudware"
Google AppEngine - (PaaS)Now support python
Heroku - Ruby on Rails in their Cloud
Qrimp - An AJAX based PaaS
RightScale - RightScale provides a platform and expertise that enable
companies to create scalable web applications running on Amazon’s Web
Services that are reliable, easy to manage, and cost less
CAM Solutions - SaaS Provider. Cloud Event
Management, Autonomics and Monitoring-as-a-Service(TM)
 CloudStatus- CloudEnabler. Real-time performance trending
of cloud infrastructure (currently AWS).
 Kaavo's IMOD is an easy to use online application. Cloud
Computing Made Easy.
 Microsoft Mesh
 Nasstar - SaaS provider. Business grade Hosted Desktop
service, UK market leaders.
 Nirvanix - Cloud Storage
 TrustSaaS - uptime monitoring and alerting service ('SaaS
Weather Report') for Software as a Service (SaaS) run by an
independent third party
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Infrastructure management projects ：
Enomalism, convirt, redhat genome,
hyperVM, lxlabs, LN, OpenNEbula, reservoirfp7, scalr,eucalyptus,ganeti,gplhost，ovirt
Useful open source projects to build cloud
platform :
Kenso, hyperic, virt-P2V。
Question???