Cloud computing describes a new supplement, consumption and delivery model for IT services based on Internet, and it typically involves the provision of dynamically scalable and often virtualized resources as a service over the Internet.
Cloud computing describes a new supplement, consumption and delivery model for
IT services based on Internet, and it typically involves the provision of dynamically
scalable and often virtualized resources as a service over the Internet.
"Cloud computing is a buzzword...“
"The concept, quite simply, is that vast computing resources will reside somewhere
out there in the ether (rather than in your computer room) and we'll connect to them
and use them as needed.“
-Jonathan Weber (The Times Online)
What Cloud Computing “IS NOT”?
•It is not Network Computing
> Application and Data are not confined to any specific Company’s Server
> No VPN Access
> Encompasses multiple companies, multiple servers and multiple networks
•It is not Traditional Outsourcing
> Not a contract to host data by 3rd party Hosting Business
> No subcontracting for computing services for specific outside firm
Cloud Services Types
In this seminar we focus on the main three major services:
Other services include(s)
SAAS – Software as a Service
• The major service given as part of Cloud-Computing services.
• The first service
• Most Known and used
•The application itself is provided by the service provider.
> Enterprise: SalesForce.Com, Webex, OfficeLive
> User Mail: Gmail, Hotmail
> User Pictures: Flickr, Picasa
IAAS – Infrastructure as a Service
•IAAS –Service providers offers capacity for rent, basically hosted Data Centers &
•An evolution of web site and server hosting services which provided servers and VPS
> Verizon’s CAAS –Computing as a service
> AT&T –Hosting & Storage
PAAS – Platform as a Service
Platform enables application developers to host their services.
> Google’s App Engine
NAAS – Network as a Service
• Provide a global network capability, CDNs
• Example, known video CDNs like:
> Amazon Cloud Front (limited solution)
DAAS – Data as a Service
A software as a service or web service offering that provides customers with access and
analytics around a set of proprietary set of aggregated data.
• Example –
Salary.com collects user data by offering individuals the ability to benchmark their
compensation levels against others.
CAAS – Communications as a
CAAS (Not Leasing) is a type of outsourced enterprise communications solution
where a third party vendor (known as CaaS vendor) is responsible for the
management of hardware and software required for delivering Voice over IP (Voice
as a Service), instant messaging, and video conferencing applications using fixed
and mobile devices.
• Example: IP-Centrex, a remote PBX
XAAS – X as a Service
• Everything as a service (EaaS, XaaS,*aaS) is a concept of being able to call up re-
usable, inegrained software components across a network.
• Public Cloud: the services are delivered to the client via the Internet from a third
party service provider.
• Example: Amazon
• Private Cloud: these services are managed and provided within the organization.
There are less restriction on network bandwidth, fewer security exposures and other
legal requirements compared to the Public Cloud.
• Example: HP Data Centers
• Hybrid Cloud: there is a combination of services provided from public and private
> ERP in Private cloud
> Sales & Email on public
Cloud Computing – PROS & CONS
• Advance Architecture
• Cost - Clouds are renowned for being
dirt cheap for storage and burst-y
• Elasticity - Growth and shrinkage
Short Overview Cons
• Security & Privacy
> Is it safe?
> For Whom and at what
• Regulatory compliance: HIPPA,
• Interoperability & Vendor Lock-In
• Lack of control
• Organizational barriers
• Reliability (service outage)
• Definition of SLAs (Service Level Agreement)
• Service management (LCM), Monitoring
• Integration with other applications
• Technology (limited languages & APIs)
The Future of Cloud
Rise of Fog Computing
Over the Cloud
What is Fog Computing?
Fog computing (AKA edge computing) places processes and resources at the edge of the cloud,
often on network devices, while data remains stored in the cloud. This leads to faster processing
times and fewer resources consumed. By 2020, the number of “things” that are art of the IoT may
reach up to 50 billion.
That’s a lot of data being generated. Current cloud computing models can’t keep up with the amount
of bandwidth that will be needed. Fog computing goes around the internet entirely by processing
data locally. Fogging basically helps cloud systems by easing the burden of processing data.