An overview of Cloud Computing


3 Νοε 2013 (πριν από 4 χρόνια και 6 μήνες)

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An overview of Cloud Computing

Gopinath Taget

Autodesk Inc.


Learn what cloud computing is all about, what kind of applications can be written for and
run on the cloud, and
where it is suitable to use them and where it is not. Learn about the popular
commercial cloud service providers, such as Amazon Web Services™ (AWS), Microsoft® Azure™ and
Google App Engine, and how to use them. We will discuss the similarities and differe
nces among the
services they provide, the advantages of using one over the others, and the coverage and sophistication
of the APIs provided to use the cloud services. The class will include code and user interface

Learning Objectives

At the

end of this class, you will be able to:

Get started on programming for cloud computing

Describe the kinds of cloud infrastructure and services available

List what APIs are available and explain how to use them

Explain the differences among the major cloud

infrastructure providers and services they provide

About the Speaker

Gopinath is a member of the Autodesk Developer Technical Services Team. He has more than
seven years of experience developing and supporting AutoCAD® APIs, including ObjectARX
Microsoft® .NET, VBA and LISP. Gopinath also has several years of experience in software
development on other CAD platforms, including MicroStation®, SolidWorks®, and CATIA
mainly using C++ and technologies such as MFC and COM. Gopinath was also involve
d in the
development of web
based applications for Autodesk® MapGuide® and AutoCAD Map.
Gopinath has master's degrees in civil engineering and software systems. Currently, Gopinath
is investigating the exciting new trends in cloud computing and how it impa
cts the CAD


An overview of Cloud Computing


Introduction to cloud computing

Cloud computing is a set of evolving software and hardware technologies that help you build
and use software services over the internet efficiently and economically. A t
ypical cloud
computing solution would consist of a web page (or a set of web pages) and/or web services as
the front end. Now, web pages and web services have been around for more than two decades
and are not unique to the cloud. What’s different about the

cloud is the way it helps you deliver
web pages and web services. Before the concept of cloud computing came along, an
organization that would like to publish web pages and services on the web would need to do the

Create web based applications

Acquire hardware by owning or renting to create web server infrastructure

Acquire Operating System and Web Server software and other support software like
database software

Use the acquired hardware or software to publish web based applications to the int

Maintain or hire third
party to maintain the hardware and support software

All this has often led not only to large startup costs but also to recurring IT support
responsibilities and costs of upgrading and maintaining the hardware and support softw
are as
well as the networking infrastructure.

Cloud computing allows you to simplify the above tasks significantly. When you use the cloud,
your tasks can be summed up as follows:

Create web based applications

Publish web based application to the internet
using a cloud provider

The cloud provider (we discuss cloud providers in greater detail below) takes care of everything
else including acquiring all the necessary hardware, support software and establishing an IT
infrastructure for maintaining the hardware

and support software. Costs of infrastructure
acquisition, maintenance and upgrade are rolled up into standardized, recurring (often monthly)
costs. The infrastructure usage costs are computed by the cloud provider on an arbitrary unit of
the kind of infr
astructure used (processing unit, storage unit, number of bytes transferred in
networking etc.). This sort of billing and service has allowed cloud users to envision hardware
and software infrastructure as a “utility” (like electricity or water) that you p
ay for based on what
or how much you use and nothing more. As a side note, this has also forced software vendors
to reevaluate the way they deliver and license their software. Vendors with traditional desktop
based software providers that charged a one
e licensing fee have begun moving towards a
more pay
use model for their desktop based applications.

This new way of thinking about hardware and software as infrastructure has several

An overview of Cloud Computing


It allows you to experiment with new technologies or
ideas without significant startup

It allows small organizations or organizations unwilling to invest too much into new
software development to scale infrastructure use based on demand and success

Allows you to abandon or significantly modify your sof
tware direction without any
unwanted hardware/software left behind

You are only charged for hardware and software infrastructure that you use

Examples of Cloud providers include:

Amazon web services (

Microsoft Azure (http://www.azur

Google App Engine (

Amazon was one of the first companies that standardized provisioning and billing of the cloud
infrastructure and in that sense is a true pioneer
of cloud computing.

There are several other cloud infrastructure providers. The differences between the providers
are in the level of sophistication, abstraction, comprehensiveness and variety of services they

There are several advantages of the s
tandardization that cloud computing has brought in:

The scale of cloud usage has brought down the per user cost of high performance
hardware infrastructure, IT support and also support software because the software is
purchased on a very massive scale by c
loud providers.

It allows for more affordability of certain traditionally expensive software requirement


High availability of web applications and data


Quick and consistent recovery from failures


Data and database redundancy

There are also a few
challenges with cloud computing:

Potentially high network traffic that probably did not exist in your non
cloud applications.
This could impact costs

May require a shift in thinking about Software architectures

May require a shift in thinking about the lic
ensing approach

Architectecting applications to maintain proximity between data and applications

Performance degradation because of network bottlenecks (that did not exist in a desktop

Securing data and applications to protect IP (Intellectual Pr

An overview of Cloud Computing


As you explore cloud computing technologies more deeply however, you will see that all the
above challenges can be easily and elegantly addressed while making your application more
robust using different architectural and software engineering

Hardware and Software as a Software Service

There are several levels of services that commercial cloud providers provide today and they
mainly differ in the level of sophistication and control they provide to the cloud infrastructure.
The cloud

infrastructure itself can be broadly categorized as hardware and software
infrastructure services. This is what makes the cloud unique. i.e., it provides all infrastructure as
a software service; including hardware. What do I mean by this? I mean that har
infrastructure usage is
. You can write scripts and applications that let you
create and manage multiple running “instances” of virtual machines, the operating systems
running on the virtual machine, the power of the processors and cores
it uses, amount of
memory it uses, amount of storage it uses and many other hardware parameters we have come
to know and love as programmers.

This approach to thinking of hardware as a software service is truly a paradigm shift and is what
makes cloud com
puting a very powerful software development and delivery tool. Scaling is not a
dirty word anymore:


You can instantaneously (and programmatically) request access to more hardware or
reduce the amount of hardware you use


You can instantaneously request for
more powerful hardware or less powerful hardware


You can automate hardware scaling based on real time usage metrics like network
traffic, number of customer requests, amount of memory and storage used


No more guesswork in planning hardware acquisition that

is usually done months or
even years in advance

They even have a word for this unique ability of the cloud:
. Elasticity is the ability of
the cloud that lets you scale your hardware usage up or down quickly and easily. This is the
single most p
owerful concept that cloud computing brings to the table.

There are a few other concepts that have evolved in cloud computing and are also arguably
unique to the cloud. Before we dig very deep into these concepts, we need to understand what
constitutes clo
ud computing.

Data Storage Service

Data Storage is a fundamental service provided by all cloud providers. It is persistent storage
typically accessible on the internet so it can be accessed from anywhere as long as your
connected to the internet. The amoun
t of storage is virtually unlimited and you pay for amount of
storage you use typically measured in GB. Now storage can be used for different purposes:

An overview of Cloud Computing



The simplest use is to store, retrieve and organize data files such as design documents,
music or anythi
ng that can be stored in a file system on the local computer.


Use it along with the Compute Service (discussed below) to store state information


Use it to distribute content quickly and reliably across multiple geographies. This is
possible because of pres
ence of data centers of cloud providers at multiple locations
across the globe

Because these uses have very little that is common between them, they are often provided as
separate services with hardware and software optimized for the specific purpose.

instance, Amazon Web Services provides two kinds of Persistent storage services
(definitions in

from the site):


Simple Storage Service (S3):

Amazon S3 provides a simple web services interface that
can be used to store and retrieve an
y amount of data, at any time, from anywhere on the
web. It gives any developer access to the same highly scalable, reliable, secure, fast,
inexpensive infrastructure that Amazon uses to run its own global network of web sites.
The service aims to maximize

benefits of scale and to pass those benefits on to


Elastic Block Storage (EBS

Amazon EBS provides block level storage volumes for
use with Amazon


instances (We will discuss EC2 when we discuss Compute
Service). Amazon


volumes are of
instance storage that persists independently
from the life of an instance. Amazon Elastic Block Store provides highly available, highly
reliable storage volumes that can be attached to a running Amazon

EC2instance and
exposed as a device within the insta
nce. Amazon


is particularly suited for
applications that require a database, file system, or access to raw block level storage.

Apart from this AWS also provides content distribution service called
Amazon CloudFront
. It
a web service for content del
ivery. It integrates with other Amazon Web Services to give
developers and businesses an easy way to distribute content to end users with low latency, high
data transfer speeds, and no commitments.

Windows Azure also has different types of storage (

Large Object (BLOB) Service,
Table Service, Windows Azure Drive
) and content distribution (
Windows Azure Content
Delivery Network (
) services. You will find more information about them here:

Relational Database Services

Though in very simplistic terms a relational database can be viewed as “Storage”, it deserves a
separate categorizatio
n as a cloud service because of its complexity (as anyone who has
performed Database Administrator would understand). This service grew out of a need to
migrate all parts of an enterprise application to the cloud. A typical web based application uses
a rel
ational database for various needs such as maintaining, customer information, order
information, inventory state information or anything else that the application needs stored. When
An overview of Cloud Computing


cloud computing first arrived on the horizon, there was no cloud service t
hat let you store a
relational data. You as a cloud developer had to do all the work of setting up the software
infrastructure (either in a private data center or on the cloud) necessary for the database server.
This prompted cloud providers like Amazon We
b Services and Microsoft Azure to design a
service that makes a relational database also accessible as a service like everything else on the
cloud. Here are a couple of examples of Relational Database services:

Amazon SimpleDB

(though this is technically n
relational, it lets you store and query
for data similar to a relational DB)

Amazon Relational Database Service (Amazon RDS)

Azure SQL

Google App Engine does not have a relational database service but it does provide a data store
The App Engine datastore provides robust, scalable storage for your web application,
with an emphasis on read and query performance. An application creates
, with data
values stored as


of an entity. The app can perform queries over entit
ies. All queries
are pre
indexed for fast results over very large data sets


Compute Services

This is th
e service around which every other cloud service is designed. The compute service
allows you to request for compute hardware like CPU, CPU cores, memory, disks pace and
software like Operating systems and Web Server.

The computer service provided by Amazon

Web Services is called Elastic Compute Cloud
(EC2). Please check out Appendix A in this hand out for more information on the type of
compute hardware available with AWS.

You will find a lot more information about EC2 like pricing and types of Operating Sy
supported at this site:

Information about Azure compute can be found here:

Other Cloud Services

Apart from the three types of services mentioned above, cloud providers provide a number of
other services that build on these fundamental services. For instance, both AWS and Azure
provide messaging services that allow you to st
ore and retrieve persistent messages that can
be retrieved by the cloud.

Another type of service lets you monitor the usage of compute services to determine its health
and scale up and scale down based on the usage statistics.

An overview of Cloud Computing


You can check out the AWS an
d Azure web pages for a sampling of information on all the
services provided by a typical Cloud Services provider.

Networking and affinity

Networking infrastructure and software is the backbone for all cloud based systems. You need
fast and reliable networ
k connectivity to:


Connect client applications to cloud applications


Connect cloud applications and services with each other to exchange data and


Connect client applications to data store and Relational DB


Connect cloud applications and services t
o data store and Relational DB

There are a couple of considerations to keep in mind when designing applications for the cloud.
Depending upon the amount of data being transferred between different cloud applications and
services and the location of data so
urce and data client, cloud applications could face data
latency and behave sluggishly. So it is always desirable to design applications such that data
source and data client are as close to each other as possible and connected by fast, reliable

Cloud providers address this need by providing the concept of Affinity groups. One can define
affinity groups and add the data stores and cloud services to the group. This ensures that the
services in the group are not only running on hardware that are phy
sically close to each other
either in the same data center or centers close to each other but are also connected by fast
networking hardware.

Data Centers

Commercial cloud providers already have several data centers spread around several parts of
the world

(and continuing to expand) to allow cloud developers to build and deploy applications
the serve customers in specific geographic locations. For instance AWS has three data centers
in the USA located in the eastern, central and western regions. They also h
ave several locations
outside USA including Europe and Asia.

Here is a map of Data centers of Azure (obtained from the website:

An overview of Cloud Computing


Developing for the Cloud

Cloud providers like AWS, Azure and Google App Engine provide very sophisticated SDKs with
APIs to build applications that can programmatically manage all the cloud
services and can
even be easily deployed on the cloud.

The Cloud providers also provide different flavors of APIs. For instance, AWS provides SDKs
that can be used with a Java, Python, Ruby

or .NET environments. GAE provides SDKs for
Java and Python environments.

Microsoft Azure provides an extensive .NET API that can used as a standalone SDK or as one
integrated with Visual Studio 2010. The SDK integrated with Visual Studio 2010 not only
ovides APIs to use Azure services but also lets the developer test cloud applications locally
and publish the application to the Azure cloud directly from VS 2010. Please visit the websites
of the cloud providers for more information, samples and videos on

how to use the SDKs.

An overview of Cloud Computing


Appendix A

Instance Types

Standard Instances

Instances of this family are well suited for most applications.

Small Instance (Default) 1.7 GB of memory, 1 EC2 Compute Unit (1 virtual core with 1 EC2
Compute Unit), 160 GB of local
instance storage, 32
bit platform

Large Instance 7.5 GB of memory, 4 EC2 Compute Units (2 virtual cores with 2 EC2 Compute Units
each), 850 GB of local instance storage, 64
bit platform

Extra Large Instance 15 GB of memory, 8 EC2 Compute Units (4 virtual c
ores with 2 EC2 Compute
Units each), 1690 GB of local instance storage, 64
bit platform

Micro Instances

Instances of this family provide a small amount of consistent CPU resources and allow you to burst
CPU capacity when additional cycles are available. Th
ey are well suited for lower throughput
applications and web sites that consume significant compute cycles periodically.

Micro Instance 613 MB of memory, up to 2 ECUs (for short periodic bursts), EBS storage only, 32
bit or 64
bit platform

Memory Inst

Instances of this family offer large memory sizes for high throughput applications, including database
and memory caching applications.

Memory Extra Large Instance 17.1 GB memory, 6.5 ECU (2 virtual cores with 3.25 EC2
Compute Units each), 420 G
B of local instance storage, 64
bit platform

Memory Double Extra Large Instance 34.2 GB of memory, 13 EC2 Compute Units (4 virtual
cores with 3.25 EC2 Compute Units each), 850 GB of local instance storage, 64
bit platform

Memory Quadruple Extra L
arge Instance 68.4 GB of memory, 26 EC2 Compute Units (8
virtual cores with 3.25 EC2 Compute Units each), 1690 GB of local instance storage, 64

CPU Instances

Instances of this family have proportionally more CPU resources than memory
(RAM) and are well
suited for compute
intensive applications.

CPU Medium Instance 1.7 GB of memory, 5 EC2 Compute Units (2 virtual cores with 2.5 EC2
Compute Units each), 350 GB of local instance storage, 32
bit platform

An overview of Cloud Computing


CPU Extra Large Instance
7 GB of memory, 20 EC2 Compute Units (8 virtual cores with 2.5
EC2 Compute Units each), 1690 GB of local instance storage, 64
bit platform

Cluster Compute Instances

Instances of this family provide proportionally high CPU with increased network performance

and are
well suited for High Performance Compute (HPC) applications and other demanding network

Learn more
about use of this instance type for HPC applications.

Cluster Compute

Quadruple Extra Large 23 GB memory, 33.5 EC2 Compute Units, 1690 GB of local
instance storage, 64
bit platform, 10 Gigabit Ethernet

Cluster GPU Instances

Instances of this family provide general
purpose graphics processing units (GPUs) with proportionally

high CPU and increased network performance for applications benefitting from highly parallelized
processing, including HPC, rendering and media processing applications. While Cluster Compute
Instances provide the ability to create clusters of instances co
nnected by a low latency, high
throughput network, Cluster GPU Instances provide an additional option for applications that can
benefit from the efficiency gains of the parallel computing power of GPUs over what can be achieved
with traditional processors.

Learn more

about use of this instance type for HPC applications.

Cluster GPU Quadruple Extra Large 22 GB memory, 33.5 EC2 Compute Units, 2 x NVIDIA Tesla
“Fermi” M2050 GPUs, 1690 GB of local inst
ance storage, 64
bit platform, 10 Gigabit Ethernet

EC2 Compute Unit (ECU)

One EC2 Compute Unit (ECU) provides the equivalent CPU capacity of a
1.2 GHz 2007 Opteron or 2007 Xeon processor.


azon EC2 Pricing

for details on costs for each instance type.


Amazon EC2 Instance Types

for a more detailed description of the differences between the
available instance types, as well as a compl
ete description of an EC2 Compute Unit.