This document provides an overview of cloud computing concepts including definitions of public cloud, private cloud, hybrid cloud, community cloud, and cloud computing models like SaaS, IaaS, and PaaS. Key points covered include: - Public cloud is hosted by a third party and accessed over the internet, while private cloud is hosted internally or on-site. - Hybrid cloud combines public and private cloud models. - Community cloud is shared by several organizations with common interests. - SaaS provides applications delivered as a service, IaaS provides infrastructure resources, and PaaS provides platforms for application development. - Advantages and disadvantages of public and private clouds are discussed.

1. Software Quality Assurance
214-3610-1
Lecture 6 – Cloud computing
Naomi Unkelos-Shpigel
naomiu@is.haifa.ac.il

4. http://www.go-globe.com/blog/60-seconds/

6. http://www.go-gulf.com/blog/online-time/

7. GAFAnomics
‫נושא‬:7

8. ‫נושא‬:8

9. ‫נושא‬:9

10. It`s everywhere in our daily
lives
‫נושא‬:10

11. Next – the internet
‫נושא‬:11

12. What about job interviews?
‫נושא‬:12
http://www.ynet.co.il/articles/0,7340,L-4362942,00.html
http://www.calcalist.co.il/internet/articles/0,7340,L-3644501,00.html
https://klout.com/home

13. (?) Virtual money
‫נושא‬:13
https://www.fundivo.com/stats/cyber-m
http://fortune.com/2016/11/29/cyber-
monday-2016-sales/

14. Top cloud providers 2015
http://talkincloud.com/talkin-cloud-100-2015-edition-ranked-1-25

15. “I am running X, do
I still need cloud?”

16. https://www.dropbox.com/s/svi33z2f0r7mz
qp/Screenshot%202013-10-
16%2021.20.23.png

17. Some background –
Autonomic
computing (2001)
introduced by IBM in
2001
Inspired by Human
systems
Self‐management
Mobile computing
Since 1990s
Intermittent
connectivity
Limited Bandwidth
Mobile device maturity
Distributed computing:
The system has a
distributed memory
where each processor
has its private memory.
Information exchanged
using communication
models, ex: MPI
(Message passing
interface)

18. Utility computing
• Water, gas, and electricity are provided to every home and business as
commodity services
• You get connected to the utility companies’ “public” infrastructure
• You get these utility services on‐demand
• And you pay‐as‐you use
• Utility Computing is doing same for computing resources (processing
power, bandwidth, data storage, and enterprise software services)
• Thought of by 1960s but re‐surfaced late 90s
“If computers of the kind I have advocated become
the computers of the future, then computing may
someday be organized as a public utility just as the
telephone system is a public utility...
The computer utility could become the basis of a
new and important”

19. Computer paradigms –
Cluster computing
• Cluster Computing:Characteristics: tightly coupled computers
• single system image
• Centralized Job management & scheduling system
• Better performance and availability and more cost‐
?effectiveness over single computer with same
capabilities
• Since 1987

20. Computer pradigms -
Grid computing
• According to Gartner, "a grid is a collection of resources
owned by multiple organizations that is coordinated to
allow them to solve a common problem."
• Characteristics: loosely coupled
• no Single System Image
• distributed Job Management & scheduling
• Originated early 1990s

21. Ubiquitous and pervasive
• Ubiquitous= “seeming to be in all places”
• Pervasive= “present or noticeable in every
part of a thing or place”
• Information processing engaged in
everyday’s activities and objects.
• Term coined by Mark Weiser, and used
since 1980s
• Different models but same vision
Small,
robust,inexpensive
devices distributed
throughout

22. Virualization..

24. Some milestones
One of the first milestones in cloud computing history was
the arrival of Salesforce.com in 1999, which pioneered
the concept of delivering enterprise applications via a
simple website. The services firm paved the way for both
specialist and mainstream software firms to deliver
applications over the internet.
The next development was Amazon Web Services in
2002, which provided a suite of cloud-based services
including storage, computation and even human
intelligence through the Amazon Mechanical Turk.
Then in 2006, Amazon launched its Elastic Compute
cloud (EC2) as a commercial web service that allows
small companies and individuals to rent computers on
which to run their own computer applications.

25. A case study -
• Launched in November 2008, Groupon features a daily deal on the best
stuff to do, see, eat and buy in more than 500 markets and 40 countries.
• The company has thousands of employees spread across its Chicago and
Palo Alto offices, regional offices in Europe, Latin America, Asia and Africa
with local account executives stationed in many cities. Groupon seeks to sell
only quality products and services, be honest and direct with customers,
and provide exceptional customer service.
• “Within a few months of our founding, our customer base exploded,” says
Joe Harrow, Director of Customer Service, Groupon. “At first, I was spending
10 percent of my time responding to customer requests. It gradually
became a job for several agents. We realized we simply couldn’t go on
without a real ticketing solution.”
During Groupon’s second year of business they grew 2,241%,
that’s no typo; they made $713.4 million in 2010 up from
$30.47 million the year before.During incredible growth like
this Groupon relied on the cloud to scale and add resources
when they needed them

26. Another case study -
• The power to launch 1,000 servers at the press of a button (and tear
them down just as quickly) is indeed remarkable. But if comic books
have taught us anything at all, it’s that with great power comes great
responsibility!
• “We organized a Hadoop Hackday at our office, and very quickly
wrote some prototype code for calculating analytics data for
SlideShare users. Our buggy code was failing in a way we hadn’t
anticipated, so throwing hardware at the problem hadn’t helped.
Meanwhile, we’d run up a bill of $5000 with Amazon Web Services!”
• The Spider-Man Principal - It’s great to have the super-power of
cloud computing, but you need to be responsible if you want to use
it!

27. Public vs. Private

28. Public cloud definition
• Vmware

29. Public cloud
• Simplicity and efficiency. Public cloud services are
offered as a service, usually over an Internet
connection.
• An off-site third party provider hosts and manages the
system. Users connect to the system via the web.
• Public clouds usually charge a monthly or yearly usage
fee.
. The chance to make use of all services, including infrastructure,
on a pay-per-use basis, and be free of the problems connected to
their daily management represents what most enterprise
customers denote as the most significant benefit of public cloud
services.

30. Public cloud advantages
• Organizations don't have to purchase physical
hardware (which also saves on energy costs).
• The servers are virtual - hosted at a third party.
• Only pay for what you need (pay-as-you go
model).
• No IT employee needed to monitor the system;
Low cost
• If hardware or software configurations need to be
changed, or if a server crashes or needs to be
restarted, reconfiguring the cloud can take minutes or
hours.
• If one server fails, another can instantly be activated,
reducing down time.
Reduced time – In-
house servers take
time to maintain.
•internal IT employees are not responsible for maintaining .The
design lets users update or introduce technologies into the
system at a much faster rate as everything is managed at the
host company.
•Having a public cloud service means never having to deal with
physical hardware; it can be maintained from a simple
configuration screen.
No maintenance -

31. Public cloud disadvantages
• Many organizations feel as if they don't have
enough control over their personal data with a
public cloud service
Lack of control
• Public cloud services are based on Internet
connections. The public cloud service’s servers must
ensure fast access of information to customers’
trying to access their data. For example, many
customers won’t tolerate slow page loading times.
Slow speed
• Having items residing in-house such as servers and
network equipment can pay off in the long run as
assets and tax advantages.
Lack of
investment
• Perceived weaker security sometimes is viewed as
the main disadvantage in public cloud service.
Intolerable for customers with sensitive personal
information (e.g. financial institutions)
Perceived
weaker security

32. Private cloud definition

33. Hosted on a private
platform in the
customer data center.
It is dedicated to a
particular
organization and
not shared with other
organizations.
A key technology to
help organizations
enable a private cloud
is Virtualization,
which helps
organizations realize
cost savings by letting
them leverage their
existing hardware
infrastructure.
The private cloud
resides at the
customer’s
location
and offers customers
more control over the
infrastructure.
It’s important to keep
in mind that a private
cloud also offers on-
demand
capability where
more services can be
added quickly as
needed.
Private cloud
(internal cloud/enterprisecloud)

34. Private cloud advantages (1)
Greater control - Due to the fact that the hardware is on-site, organizations
have more control over their data. The organization is in charge of
monitoring and maintaining the data giving them complete oversight of
their data.
More security –hardware, data storage, and network can be designed to
assure high levels of security that cannot be accessed by other clients in the
same data center.
Regulatory issues - In certain countries, the data center hosting a public
cloud service must reside within the local country where its users reside as
well. When there is no public cloud option that can be provided from the
local country, a private cloud is the only option that can be used.
Higher performance - The private cloud is deployed inside the firewall on
an organization's intranet, meaning that transfer rates are dramatically
increased versus using the Internet. In addition, there’s no worry of slow
page access times that may happen with using a public cloud service.

35. Private cloud advantages (2)
Deeper compliance –Because the hardware, storage and network
configuration is dedicated to a single client, compliance data is
much easier to attain.
Customizable – Hardware performance, network performance, and
storage performance can be specified and customized in the private
cloud since it’s owned by the company. More customer control
equals fewer security worries for private cloud service users.
Quality attributes - By moving traditional hardware-based old IT system
over to the cloud, the customer is still able to enjoy the benefits of
scalability, flexibility and higher productivity, but will be able to do
so without sacrificing any of the accountability for data security that may
sometimes be viewed with a public cloud service.

36. Private cloud disadvantages
On-site
Maintenanc
e
• Since the private cloud is hosted at the company’s site, the
organization needs to provide adequate power, cooling, and general
maintenance. The host organization also runs the risk of data loss due
to physical damage of the unit (i.e. fire, power surge, water damage).
Capacity
Ceiling
• There will always be a capacity ceiling due to the limitations of the
physical hardware in the organization’s data center. There can only be
so much space available within a company’s environment to deploy a
certain amount of hardware servers, for example.
Cost
• Cost - Possibly the greatest critique of a private cloud service is that it
still requires the customer to purchase, configure and maintain the
system or virtualized infrastructure. the private cloud user needs to
spend considerable capital initially to acquire a system that will often
be hosted in-house, and then still handle its management moving
forward. Private clouds also require system administrators leads to
higher administration costs.

37. Go public?
A public cloud service is popular with organizations looking to cut IT costs and
time (i.e., reduces capital expenditures, no need to worry about upgrades and
backups). These organizations are concerned with security but scalability,
efficiency, and affordability are the most important features.
These organizations may lack in-house IT administration and expertise or may
have distributed locations where IT simply cannot scale to manage those
locations.
Public cloud services offer great levels of efficiency and affordability, as well
as the ability to scale on-demand, as customers share the larger cloud.
In general, in terms of scalability, versatility, simplicity of use, and price,
public cloud service usually beats a private cloud service.
However, public clouds can be more vulnerable than private cloud services
as they are public hosting platforms, and may have limited flexibility –
configuration, security, and service level – as they are hosted a shared cloud
infrastructure.

38. Go private?
• Organizations that feel they need greater control of their business-critical data and applications.
• Popular with highly regulated industries such as financial institutions as they are more
comfortable having their data hosted privately and physically separated from other businesses.
• Private cloud service makes a lot of sense to bigger companies because it is based on a model
where they run their own servers and infrastructure. The idea of controlling your own
infrastructure and only allow workers within the same firewall to access all the content from the
private cloud makes it comfortable to use for larger companies.
• More expensive and time consuming than deploying a public cloud service. The organization will
need to invest in, maintain, upgrade, & back up their own equipment. A private cloud service will
be limited in its scalability and will certainly require in-house IT administration and
time.Connectivity is often done through a secure VPN connection and there are many encryptions
that keep anyone else from accessing the network.
• Private cloud also ensures there is in-house management accountability of the cloud service,
which is ideal in larger organizations.

39. Hybrid cloud
• A hybrid cloud service is the combination of a private cloud and a public cloud.
Essentially, a hybrid cloud refers to an organization that keeps some of its
operations in-house (private cloud) while also utilizing a cloud service from an
outside provider for its other operations (public cloud).
• The hybrid approach can allow a business to take advantage of the scalability
and cost-effectiveness that a public cloud service offers while keeping mission-
critical applications within a private cloud.
• By spreading things out over a hybrid cloud, a company can keep each aspect
of its business in the most efficient environment possible. The
downside is that you have to keep track of multiple different security platforms
and ensure that all aspects of your business can communicate with each other.
https://www.youtube.com/watch?v=3WIJ4axzFlU

40. Community cloud definition

41. Example : Salesforce
• http://www.salesforce.com/company/news-press/press-
releases/2014/08/140827.jsp

42. Cloud models

43. SAAS
It's scalable.
It's on-demand. Assuming you don't have customization requirements,
you can often start using the service right away.
It's low maintenance. The service provider handles maintenance of the
service.
It's reliable. Cloud services typically maintain high availability (they're
usually up).
It's easy to buy. You don't have to worry about the installation, setup and
running of the application.
You just have to pay and use it .Fees are typically assessed to subscribers
on a monthly or annual basis.

44. SaaS Advantages Over The
Traditional Software Model
Traditional
software
model
A separate
license must be
purchased for
each
workstation
that will access
an enterprise
software
application.
Multi-user
software license
costs can be
high and
software
licenses typically
can not be
shared by users.
Local
installations of
software within
an enterprise
also require a
significant
investment in
application
servers.
Traditional
software
applications are
often
accompanied by
expensive and
time consuming
implementation
requirements.
The Software-as-a-Service
model significantly reduces
the expenses typically
associated with locally hosted
software applications.

45. Where SaaS makes sense
• • “Vanilla” offerings where the solution is largely undifferentiated
•
• Applications where there is significant interplay between the organization
and the outside world. For example, email newsletter campaign software
•
• Applications that have a significant need for web or mobile access. An
example would be mobile sales management software
• Software that is only to be used for a short term need. An example would
be collaboration software for a specific project
•
• Software where demand spikes significantly, for example tax or billing
software used once a month
•

46. Where SaaS may not be the
best option
• • Applications where extremely fast processing of
real time data is required
•
• Applications where legislation or other regulation does not
permit data being hosted externally
• Applications where an existing on-premise solution fulfills all of
the organization’s needs

47. IaaS
• IaaS (infrastructure as a service) refers to the delivery of computing
capacity and infrastructure as a service.
• IaaS encompasses all of the physical computing resources that support
delivery of applications as a service.
• IaaS provides a major cost savings to organizations, as it provides access
to additional computing capacity on demand, without the need for a
major capital investment in additional hardware, etc.
• IaaS Architecture
• IaaS can be delivered via a public cloud, a private cloud, a community
cloud or a hybrid cloud.In addition, IaaS frequently incorporates
virtualization into its design in order to facilitate optimal levels of
utilization for physical computing resources.
• Network connectivity and storage capacity are also included in the IaaS
definition, since these resources are a part of the physical computing
resources that are delivered by IaaS.
There are only a few players in the
IaaS marketplace

48. Where IaaS makes sense
• Where demand is very volatile – any time there are
significant spikes and troughs in terms of demand on the
infrastructure
• For new organizations without the capital to invest in
hardware
• Where the organization is growing rapidly and scaling
hardware would be problematic
• Where there is pressure on the organization to limit
capital expenditure and to move to operating
expenditure
• For specific line of business, trial or temporary
infrastructural needs

49. Where IaaS may not be the
best option
• Where regulatory compliance makes the offshoring or
outsourcing of data storage and processing difficult
• Where the highest levels of performance are required, and on-
premise or dedicated hosted infrastructure has the capacity to
meet the organization’s needs

50. PaaS
• PaaS(Platform as a service), as the name suggests, provides
you computing platforms which typically includes:
• operating system,
• programming language execution environment
• Database
• web server

51. Benefits of PaaS
• Clients will only need to rent the resources they need rather than invest in
fixed, unused and therefore wasted capacity.
• Makes development possible for ‘non-experts’; with some PaaS offerings
anyone can develop an application.
• Flexibility; customers can have control over the tools that are installed within
their platforms and can create a platform that suits their specific
requirements.
• Adaptability; Features can be changed if circumstances dictate that they
should.
• Teams in various locations can work together; several locations can work
together on the same application build.
• Security; security is provided, including data security and backup and
recovery.

52. Where PaaS makes sense
• PaaS is especially useful in any situation where multiple
developers will be working on a development project or where
other external parties need to interact with the development
process.
• It is proving invaluable for those who have an existing data
source – for example sales information from a customer
relationship management tool, and want to create applications
which leverage that data.
• PaaS is useful where developers wish to automate testing and
deployment services.
With the popularity of agile
software development, PaaS
eases the difficulties around rapid
development and iteration of
software.

53. Where PaaS may be not the
best option
• • Where the application needs to be highly portable in terms
of where it is hosted
• Where proprietary languages or approaches would impact on
the development process
• Where application performance requires customization of the
underlying hardware and software

54. Open source PaaS
• Going with the name, Open Source PaaS or Open PaaS is an
open cloud computing platform for a software developer.
• Any of these can be used by the software developer without
looking behind for any kind of technical strictures:
• If PaaS turns out to be a dominant cloud essence in the
near future, then Open PaaS will play the key source in
the PaaS lineup.

55. Open source PaaS
• An open source PaaS supports codes, applications, systems, ASPs,
SaaS’s, PaaS’s, programmers, designers and users making a
complete ecological unit
• Instead of staying bolted in the proprietary programming languages,
operating systems, development tools etc. as in a normal PaaS or
SaaS, open source A developer can choose his own tools to create
applications while PaaS does not keep a developer bolted in a
proprietary API (Application Programming Interface)
• An open source PaaS allows a developer to prepare his own
guidelines to charge for the applications he designs and can run a
business according to personal guidelines
Programming languages
Databases
Operating systems
Servers

56. Benefits of open source PaaS
• A developer can use any of the programming languages to create
applications
• One can create applications and distribute them for free while
charging for the support
• One can also create extensions for other developer applications
and sell them
• One can also create new applications incorporating other
developer’s code and sell them thereafter
• One can also connect to a personal server or any other cloud
• One can organize, reuse and resell the codebase in new and
interesting ways

57. Limitations of open source
PaaS
• Open source PaaS heavily relies on the willingness of the
developers and the programmers to deliver and contribute the
programming codes without any kind of financial rewards
• The fraction of open source PaaS programmers are quite low
which makes its path of popular dissemination a little stiffer
• Security breach is a major concern in open source PaaS

58. Additional models?

60. Building enterprise clouds
• What principles should we consider when building enterprise
clouds?

61. Today - Cloud computing
services

62. Cloud quality attributes -
Nonfunctionalrequirements
• Accessibility
• Availability
• Capacity, current and forecast
• Compliance
• Configuration management
• Disaster recovery
• Efficiency (resource consumption for given load)
• Effectiveness (resulting performance in relation to
effort)
• Elasticity
• Emotional factors (like fun or absorbing)
• Environmental protection
• Extensibility
• Failure management
• Fault tolerance
• Legal and licensing issues
• Interoperability
• Maintainability
• Network topology
Which are relevant in cloud environment?
• Performance / response time (performance
engineering)
• Price
• Privacy
• Portability
• Quality (e.g. faults discovered, faults delivered, fault
removal efficacy)
• Recovery / recoverability (e.g. mean time to
recovery - MTTR)
• Reliability (e.g. mean time between failures - MTBF)
• Resource constraints (processor speed, memory,
disk space,
network bandwidth, etc.)
• Response time
• Robustness
• Scalability
• Security
• Software, tools, standards etc. Compatibility
• Testability
• Usability by target user community

63. RationalePrinciple
Only one standard, and it's the point of service where you
standardize the kind of cloud service you provide to your
cloud customers
Standardization
Optimize as much as you can below the point of
standardization.
Cloud computing, from the point of view of the
infrastructure supplier is nothing more than a ruthlessly
optimized way of supplying a well defined (service
Optimization
The implementation details of your Cloud service should
always be hidden from your customers. They should never
know how exactly you provide your J2EE, database or other
service, and certainly never depend on the particular way
you do it
Separation

64. Architecting in a Cloud
Environment
• Quality attributes that are different in a cloud
• Security
• Performance
• Availability
© Len Bass, Paul Clements, Rick
Kazman, distributed under Creative
Commons Attribution License

65. Security
• Multi-tenancy introduces additional concerns over non-cloud
environments.
• Inadvertent information sharing. Possible that
information may be shared because of shared use of
resources. E.g. information on a disk may remain if the
disk is reallocated.
• A virtual machine “escape”. One user can break the
hypervisor. So far, purely academic.
• Side channel attacks. One user can detect information
through monitoring cache, for example. Again, so far,
purely academic.
• Denial of Service attacks. One users can consume
resources and deny them to other users.
• Organizations need to consider risks when deciding what applications to
host in the cloud.
©LenBass,PaulClements,
RickKazman,distributedunder
CreativeCommonsAttribution
License

66. Performance
• Auto-scaling provides additional performance when load
grows.
• Response time for new resources may not be adequate
• Architects need to be aware of resource requirements for
applications
• Build that knowledge into the applications
• May applications self aware so that they can be proactive with
respect to resource needs.
©LenBass,PaulClements,
RickKazman,distributedunder
CreativeCommonsAttribution
License

67. Availability
• Failure is a common occurrence in the cloud
• With 1000s of servers, failure is to be expected
• Cloud providers ensure that the cloud itself will remain
available with some notable exceptions.
• Application developers must assume instances will fail and
build in detection and correction mechanisms in case of
failure.
©LenBass,PaulClements,
RickKazman,distributedunder
CreativeCommonsAttribution
License

68. Elasticity

69. Service Level Agreements
• A service-level agreement (SLA) is a contract between a
network service provider and a customer that specifies,
usually in measurable terms, what services the network
service provider will furnish.

70. SLA metrics
Some metrics that SLAs may specify include:
• What percentage of the time services will be available
• The number of users that can be served simultaneously
• Specific performance benchmarks to which actual performance will
be periodically compared
• The schedule for notification in advance of network changes that
may affect users
• Help desk response time for various classes of problems
• Dial-in access availability
• Usage statistics that will be provided.

71. 4 things to know about SLAs
1. Availability
• Is it measured monthly or annually?
• It is usually expressed as something like 99.99% availability - which
equates to less than five minutes of downtime per month - and if
the service provider fails to meet that measure then penalties apply.
• 99.99% measured on a monthly basis has very different implications
to 99.99% measured over twelve months, he points out.

72. 4 things to know about SLAs
2. Planned downtime
• How much is involved, and can you skip it?
• Even if 99.99% availability measured over a year is acceptable to
your business, should you really expect to get that level of
availability?
• What many service providers actually offer is 99.99% availability
during 'scheduled uptime,' but not during what they call 'planned
downtime' when the provider carries out regular maintenance and
upgrades.
• Some providers give themselves the right, in the small print of the
SLA, to something like "up to 30 minutes of planned downtime once
a week on a Sunday morning, at some time between 2am and 5am."
• The benefit of planned downtime is that it enables the service
provider to introduce new features or eliminate bugs in the
software.

73. 4 things to know about SLAs
3. Service interruptions
• Who starts the clock when a service is disrupted?
• it's only once you tell the service provider that you are experiencing
an interruption that the clock actually starts: the time the service
was unavailable before this usually doesn't count in the SLA.
• This effectively gives the service provider a grace period of five or so
minutes each time there is an interruption, and it is up to the buyer
to understand the definition of how outages are measured
• For smaller companies this grace period may turn out to be even
longer, because if an outage occurs in the middle of the night it may
never be detected and reported before it is fixed.

74. 4 things to know about SLAs
4. Liability
• Aside from availability, most SLAs deal with the penalties that
apply if the service provider breaches the agreement. These
generally take the form of service credits or reductions from
the monthly bill.
• Don`t expect there to be much of a connection between any
compensation and the actual loss your company could suffer
if the service is unavailable for an extended time or if your
data becomes corrupted.
• Large enterprises can certainly negotiate SLA terms, but for
most SMBs this simply isn't an option. That's because service
providers have to offer a uniform service at scale to smaller
customers in order to drive prices down to competitive levels.
• A more sensible approach is to shop around while bearing in
mind that, when it comes to service level agreements, the
devil is in the detail.

75. SLA examples
/
http://aws.amazon.com/ec2/sla/
https://cloud.google.com/storage/sla
http://www.rackspace.com/information/legal/cloud/sla
http://www.hpcloud.com/sla
http://www.windowsazure.com/en-us/support/legal/sla/
Choose two and
compare…

76. Lessons learned
• Read your cloud provider’s SLA very carefully – The almost four-day
Amazon outage of April 2011 did not breach Amazon’s EC2 SLA, which as a
FAQ explains, “guarantees 99.95% availability of the service within a Region
over a trailing 365 period.” Since it has been the EBS and RDS services rather
than EC2 itself that has failed (and all the failures have been restricted to
Availability Zones within a single Region), the SLA has not been breached,
legally speaking.
• Get technical staff involved to validate SLAs against common outage
scenarios – Another set of outages come along to delight those who follow
Microsoft’s journey to cloud nirvana. On August 7 it was a power
outage that affected their Dublin datacenter and affected service to
European users of Business Productivity Online Services (BPOS).
• Have contingency plans in place to support worse case scenarios – When
we re-designed for the cloud this Amazon failure was exactly the sort of
issue that we wanted to be resilient to. Our architecture avoids using EBS as
our main data storage service, and the SimpleDB, S3 and Cassandra services
that we do depend upon were not affected by the outage.

77. Financial considerations

79. Cash flows

80. How much time will it take?

81. Migration costs
• Application Development/Re-architecture: Modifications to the logic and/or
architecture of an application are often required when performing a migration
between different hosting contexts.
• Migration Planning and Execution: Moving a complex system with many moving
parts between hosting contexts must be planned and choreographed carefully to
minimize the risk of disruption or failure.
• Migration Downtime: Most application migrations will require a total service
outage while data is synchronized, tests performed and clients redirected to the
new location.
• Process Re-engineering: Being components that reside within a larger frame of
reference, the business process, migrating applications to another hosting context
will require these processes to be examined and re-engineered accordingly

82. Locked-in costs
• Exacerbating cloud lock-in, and thus weakening agencies' negotiating leverage, is their
tendency to customize their cloud
• Agencies need to build a detailed strategy for winding down their cloud vendor
commitments. Usually when an agency moves from one IT vendor to another, the
new vendor pays for the data migration.
• Before signing on the dotted line with a cloud vendor, agencies should explicitly detail
in the contract the terms for how that vendor is responsible for packing up and
moving the customer's data in the event the customer wants to change vendors.
"If you're renting a house, it's built into the contract that
you'll leave it in clean condition or there are consequences
-- it's not the next tenant's job to do"

83. Additional costs
• Cost of capital - When you run your own servers, you're looking at up-front
capital costs. But in the world of cloud-computing, financing that capital
investment is someone else's problem.
If you run the servers yourself, the accounting wizards do their amortization
magic which makes it appear that the cost gets spread over a server's life.
But that money still has to come from somewhere, so it's capital that
otherwise can't be invested in the business—be it actual money or a line of
credit.
• Integration costs - Integration can comprise up to 35 percent of the total
implementation costs associated with on-premises application
development. In comparison, cloud computing makes integration faster,
easier, and less risky than ever before

84. Bonus benefit.. Being green
• Whether or not they believe in global warming, many organizations
want to do something about it. This is either because their
customers want to do business with green companies, or simply
through a genuine desire to emit less CO2 , or other gases believed
to warm the planet.
• By moving to the cloud, you'll be greener in two ways:
• First, you'll be saving energy, as we talked about earlier.
• Second, you'll be taking advantage of the work that your cloud service provider
has done to reduce its data centers’ carbon footprint.
• Think of it as saving money that you might otherwise spend on
carbon offsets.

85. Why is the cloud green?
• Dynamic Provisioning – Large operations enable better matching of
server capacity to demand on an ongoing basis.
• Multi-Tenancy – Large public cloud environments are able to serve
millions of users at thousands of companies simultaneously on one
massive shared infrastructure.
• Server Utilization – Cloud providers can drive efficiencies by
increasing the portion of a server’s capacity that an application
actively uses, thereby performing higher workloads with a smaller
infrastructure footprint.
• Datacenter Efficiency – Through innovation and continuous
improvement, cloud providers are leading the way in designing,
building and operating data centers that minimize energy use for a
given amount of computing power.

86. Green IT
• http://www.businessweek.com/articles/2013-
10-03/facebooks-new-data-center-in-sweden-
puts-the-heat-on-hardware-makers

87. Big Data EveryWhere!
• Lots of data is being collected
and warehoused
• Web data, e-commerce
• purchases at department/
grocery stores
• Bank/Credit Card
transactions
• Social Network

88. What`s in the future?
‫נושא‬:95
http://www.geektime.co.il/2015-in-cloud-
computing/

89. Resources(1)
• http://apprenda.com
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principle.aspx
• http://constantin.glez.de/blog/2012/02/three-enterprise-architecture-principles-building-clouds
• http://simplicable.com/new/the-9-principles-of-soa-design
• http://www.rackspace.com/knowledge_center/article/rackspace-open-cloud-reference-architecture
• http://www-05.ibm.com/de/cloud/pdf/Gettingcloudcomputingright.pdf
• http://www.techradar.com/news/internet/cloud-services/four-things-to-know-about-cloud-slas-1157019
• http://www.wired.com/insights/2011/12/service-level-agreements-in-the-cloud-who-cares/
• http://searchitchannel.techtarget.com/definition/service-level-agreement
• http://jineshvaria.s3.amazonaws.com/public/cloudbestpractices-jvaria.pdf
• © Len Bass, Paul Clements, Rick Kazman “Software architecture in practice”
• http://apprenda.com
• http://www.rackspace.com/knowledge_center/whitepaper/understanding-the-cloud-computing-stack-saas-paas-
iaas
• http://simplicable.com/new/cloud-computing-cheat-sheet
• http://www.interoute.com/what-saas
• Zhang, L. J., & Zhou, Q. (2009, July). CCOA: Cloud computing open architecture. In Web Services, 2009. ICWS 2009.
IEEE International Conference on (pp. 607-616). Ieee.
• http://www.slideshare.net/markogrobelnik/big-datatutorial-grobelnikfortunamladenicsydneyiswc2013
• http://blogs.microsoft.co.il/technet/2013/12/08/big-data-bi/
• http://assets.en.oreilly.com/1/event/12/Cloud%20Computing%20with%20bigdata%20Presentation.pdf
• http://searchstorage.techtarget.com/guides/Big-data-tutorial-Everything-you-need-to-know
• http://fr.slideshare.net/faberNovel/gafanomics
• http://www.usatoday.com/story/tech/2013/12/03/amazon-ebay-cyber-monday/3858203/

90. Resources (2)
• http://apprenda.com
• http://blogs.technet.com/b/yungchou/archive/2011/03/03/chou-s-theories-of-cloud-
computing-the-5-3-2-principle.aspx
• http://constantin.glez.de/blog/2012/02/three-enterprise-architecture-principles-
building-clouds
• http://simplicable.com/new/the-9-principles-of-soa-design
• http://www.rackspace.com/knowledge_center/article/rackspace-open-cloud-
reference-architecture
• http://www-05.ibm.com/de/cloud/pdf/Gettingcloudcomputingright.pdf
• http://www.computerweekly.com/feature/A-history-of-cloud-computing
• https://gigaom.com/2010/08/26/cloud-computing-fiascos-lessons-from-slideshare/
• http://www.slideshare.net/BeFoundOnline/dan-goldens-2015-digital-marketing-food-
pyramid