On demand delivery of IT resources through the internet with payment depending on the use of the service is known as cloud computing.
The term cloud refers to a network or the internet.
It gives a solution for infrastructure at low cost.
Cloud computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application.
Cloud computing is both a combination of software and hardware based computing resources delivered as a network service.
Understand the core concepts of Cloud Computing. Whether you want to run applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources.
On demand delivery of IT resources through the internet with payment depending on the use of the service is known as cloud computing.
The term cloud refers to a network or the internet.
It gives a solution for infrastructure at low cost.
Cloud computing refers to manipulating, configuring, and accessing the applications online. It offers online data storage, infrastructure and application.
Cloud computing is both a combination of software and hardware based computing resources delivered as a network service.
Understand the core concepts of Cloud Computing. Whether you want to run applications that share photos to millions of mobile users or you’re supporting the critical operations of your business, a cloud services platform provides rapid access to flexible and low cost IT resources.
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
We will worked on CLOUD COMPTUING still from 2year's we had finally research many concepts releated to Cloud security, we had woking on our Idiea's and timly we will share our research concepts
This PPT provides an introduction to cloud Computing. It briefly talks about fundamental cloud services, deployment models and the factors that made it an emerging paradigm.
Cloud computing and management in IBM.
What is Cloud Management with the example of how IBM uses cloud computing and management to help provide solutions.
Welcome to the presentation on "Deployment Models in Cloud Computing." In this slideshow, we will explore the various deployment models in cloud computing, their characteristics, and how they cater to diverse business needs. I am Anirban Pati, a student at Asansol Engineering College pursuing Bachelor of Computer Application.
Cloud computing
Definition of Cloud Computing
History and origins of Cloud Computing
Cloud Computing services and model
cloud service engineering life cycle
TEST AND DEVELOPMENT PLATFORM
Cloud migration
Containerization is a operating system virtualization in which application can run in isolated user spaces called containers.
Everything an application needs is all its libraries , binaries ,resources , and its dependencies which are maintained by the containers.
The Container itself is abstracted away from the host OS with only limited access to underlying resources - much like a lightweight virtual machine (VM)
We will worked on CLOUD COMPTUING still from 2year's we had finally research many concepts releated to Cloud security, we had woking on our Idiea's and timly we will share our research concepts
This PPT provides an introduction to cloud Computing. It briefly talks about fundamental cloud services, deployment models and the factors that made it an emerging paradigm.
Cloud computing and management in IBM.
What is Cloud Management with the example of how IBM uses cloud computing and management to help provide solutions.
Welcome to the presentation on "Deployment Models in Cloud Computing." In this slideshow, we will explore the various deployment models in cloud computing, their characteristics, and how they cater to diverse business needs. I am Anirban Pati, a student at Asansol Engineering College pursuing Bachelor of Computer Application.
Symantec’s Avoiding the Hidden Costs of Cloud 2013 Survey found more than 90 percent of all organizations are at least discussing cloud, up from 75 percent a year ago. Other key survey findings showed enterprises and SMBs are experiencing escalating costs tied to rogue cloud use, complex backup and recovery, and inefficient cloud storage.
Skycon 2012 - Public, private, and hybrid; software, platform, and infrastructure. This talk will discuss the current state of the Platform-as-a-Service space, and why the keys to success lie in enabling developer productivity, and providing openness and choice.
Thanks to Tony Whitmore for the audio and to Patrick Chanezon for some pieces of the content.
The 2013 Future of Cloud Computing 3rd Annual Survey was conducted in partnership with GigaOM Research and 57 industry collaborators. It focuses on Cloud adoption, growth, investment, and key trends emanating from the 2011 and 2012 surveys. For additional information and to get involved follow us @futureofcloud #futurecloud and visit http://www.mjskok.com/resource/2013-future-cloud-computing-3rd-annual-survey-results.
Intro to cloud computing — MegaCOMM 2013, JerusalemReuven Lerner
What is cloud computing? This is an introduction that I gave at MegaCOMM 2013, a conference for technical writers in Jerusalem. The talk describes how the combination of Internet access, virtualization, and open source have made computing a utility that we can turn on and off at will -- similar in some ways to electricity, water, and other utilities with which we're familiar.
Can we hack open source #cloud platforms to help reduce emissions?Tom Raftery
Cloud computing is changing our lives but this change comes with a cost - pollution.
Can we hack open source cloud platforms to make them report their energy and (more importantly) their emissions, so we can choose the cleanest cloud?
Video of this talk is now online at http://redmonk.com/tv/2012/10/24/can-we-hack-open-source-cloud-platforms-to-help-reduce-emissions/
Public cloud's are going to crash. It's inevitable. The best thing you can do is be prepared with a highly available architecture to ensure you're not affected by the outage. Join a live webinar with Gigaspaces founder and CTO Nati Shalom to discuss best practices in high availability to safe guard your cloud from the inevitable outage.
http://www.newvem.com/cloud-webinar-safe-guard-your-application-from-outages/
Building cross-region and cross could high availability into your app, a real life use case by Gigaspaces, Nati Shalom, Funder & CTO, Gigaspaces
Achieving high levels of availability and disaster recovery in a cloud environment requires the implementation of patterns and practices that introduce redundancy through multi-zone, multi-region, and multi-cloud deployments. As we move towards implementing higher availability, we cannot escape the direct increase in the accidental complexity of the deployment architecture resulting from lack of cloud portability and deployment lifecycle automation. We present how high availability and disaster recovery were achieved in reality by using the Cloudify open source framework on top of AWS. This approach applies to not just AWS but also other public clouds and private cloud environments such as Eucalyptus. The resulting reference architecture provides portable PostgreSQL replication and disaster recovery as well as application tier scalability across zones, regions, and public/private clouds through a unified deployment workflow.
LinuxFest NW 2013: Hitchhiker's Guide to Open Source Cloud ComputingMark Hinkle
Presented on April 27th, 2013 at LinuxFest NW
Imagine it’s eight o’clock on a Thursday morning and you awake to see a bulldozer out your window ready to plow over your data center. Normally you may wish to consult the Encyclopedia Galáctica to discern the best course of action but your copy is likely out of date. And while the Hitchhiker’s Guide to the Galaxy (HHGTTG) is a wholly remarkable book it doesn’t cover the nuances of cloud computing. That’s why you need the Hitchhiker’s Guide to Cloud Computing (HHGTCC) or at least to attend this talk understand the state of open source cloud computing. Specifically this talk will cover infrastructure-as-a-service, platform-as-a-service and developments in big data and how to more effectively take advantage of these technologies using open source software. Technologies that will be covered in this talk include Apache CloudStack, Chef, CloudFoundry, NoSQL, OpenStack, Puppet and many more.
Specific topics for discussion will include:
Infrastructure-as-a-Service - The Systems Cloud - Get a comparision of the open source cloud platforms including OpenStack, Apache CloudStack, Eucalyptus, OpenNebula
Platform-as-a-Service - The Developers Cloud - Find out what tools are availble to build portable auto-scaling applications including CloudFoundry, OpenShift, Stackato and more.
Data-as-a-Service - The Analytics Cloud - Want to figure out the who, what , where , when and why of big data ? You get an overview of open source NoSQL databases and technologies like MapReduce to help crunch massive data sets in the cloud.
Finally you'll get a overview of the tools that can help you really take advantage of the cloud? Want to auto-scale virtual machiens to serve millions of web pages or want to automate the configuration of cloud computing environments. You'll learn how to combine these tools to provide continous deployment systems that will help you earn DevOps cred in any data center.
[Finally, for those of you that are Douglas Adams fans please accept the deepest apologies for bad analogies to the HHGTTG.]
The Total Cost of Ownership (TCO) of Web Applications in the AWS Cloud - Jine...Amazon Web Services
Weighing the financial considerations of owning and operating a data center facility versus employing a cloud infrastructure requires detailed and careful analysis. In practice, it is not as simple as just measuring potential hardware expense alongside utility pricing for compute and storage resources. The Total Cost of Ownership (TCO) is often the financial metric used to estimate and compare direct and indirect costs of a product or a service. Given the large differences between the two models, it is challenging to perform accurate apples-to-apples cost comparisons between on-premises data centers and cloud infrastructure that is offered as a service. In this presentation, we explain the economic benefits of deploying a web application in the Amazon Web Services (AWS) cloud over deploying an equivalent web application hosted in an on-premises data center and highlight the 5 things to not forget while calculating TCO.
Whitepaper: http://bit.ly/aws-tco-webapps
Cloud computing comes into focus only when you think about what IT always needs: a way to increase capacity or add capabilities on the fly without investing in new infrastructure, training new personnel, or licensing new software. Cloud computing encompasses any subscription-based or pay-per-use service that, in real time over the Internet, extends IT's existing capabilities.
This presentation is about -
Based on as a service model,
• SAAS (Software as a service),
• PAAS (Platform as a service),
• IAAS (Infrastructure as a service,
Based on deployment or access model,
• Public Cloud,
• Private Cloud,
• Hybrid Cloud,
For more details you can visit -
http://vibranttechnologies.co.in/salesforce-classes-in-mumbai.html
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
2. What is Cloud Computing?
• Cloud Computing is a general term used to describe a new
class of network based computing that takes place over the
Internet,
– basically a step on from Utility Computing
– a collection/group of integrated and networked hardware,
software and Internet infrastructure (called a platform).
– Using the Internet for communication and transport
provides hardware, software and networking services to
clients
• These platforms hide the complexity and details of the
underlying infrastructure from users and applications by
providing very simple graphical interface or API (Applications
Programming Interface).
2
3. What is Cloud Computing?
• In addition, the platform provides on demand
services, that are always on, anywhere,
anytime and any place.
• Pay for use and as needed, elastic
– scale up and down in capacity and functionalities
• The hardware and software services are
available to
– general public, enterprises, corporations and
businesses markets
3
4. Cloud Summary
• Cloud computing is an umbrella term used to refer to
Internet based development and services
• A number of characteristics define cloud data,
applications services and infrastructure:
– Remotely hosted: Services or data are hosted on remote
infrastructure.
– Ubiquitous: Services or data are available from anywhere.
– Commodified: The result is a utility computing model
similar to traditional that of traditional utilities, like gas
and electricity - you pay for what you would want!
4
6. What is Cloud Computing
6Adopted from: Effectively and Securely Using the Cloud Computing Paradigm by peter Mell, Tim Grance
• Shared pool of configurable computing resources
• On-demand network access
• Provisioned by the Service Provider
7. Cloud Computing Characteristics
7
Common Characteristics:
Low Cost SoftwareLow Cost Software
VirtualizationVirtualization Service OrientationService Orientation
Advanced SecurityAdvanced Security
HomogeneityHomogeneity
Massive ScaleMassive Scale Resilient ComputingResilient Computing
Geographic DistributionGeographic Distribution
Essential Characteristics:
Resource PoolingResource Pooling
Broad Network AccessBroad Network Access Rapid ElasticityRapid Elasticity
Measured ServiceMeasured Service
On Demand Self-ServiceOn Demand Self-Service
Adopted from: Effectively and Securely Using the Cloud Computing Paradigm by peter Mell, Tim Grance
8. Cloud Service Models
8
Software as a
Service (SaaS)
Platform as a
Service (PaaS)
Infrastructure as a
Service (IaaS)
Google
App
Engine
SalesForce CRM
LotusLive
Adopted from: Effectively and Securely Using the Cloud Computing Paradigm by peter Mell, Tim Grance
9. SaaS Maturity Model
9
Source: Frederick Chong and Gianpaolo Carraro, “Architectures Strategies for Catching the Long Tail”
Level 2: Configurable per
customer
Level 3: configurable &
Multi-Tenant-Efficient
Level 1: Ad-Hoc/Custom –
One Instance per customer
Level 4: Scalable, Configurable
& Multi-Tenant-Efficient
10. Different Cloud Computing Layers
Application Service
(SaaS)
Application Platform
Server Platform
Storage Platform Amazon S3, Dell, Apple, ...
3Tera, EC2, SliceHost,
GoGrid, RightScale, Linode
Google App Engine, Mosso,
Force.com, Engine Yard,
Facebook, Heroku, AWS
MS Live/ExchangeLabs, IBM,
Google Apps; Salesforce.com
Quicken Online, Zoho, Cisco
10
11. Services
Application
Development
Platform
Storage
Hosting
Cloud Computing Service Layers
Description
Services – Complete business services such as
PayPal, OpenID, OAuth, Google Maps, Alexa
Services
Application
Focused
Infrastructure
Focused
Application – Cloud based software that eliminates
the need for local installation such as Google Apps,
Microsoft Online
Storage – Data storage or cloud based NAS such
as CTERA, iDisk, CloudNAS
Development – Software development platforms used
to build custom cloud based applications (PAAS &
SAAS) such as SalesForce
Platform – Cloud based platforms, typically provided
using virtualization, such as Amazon ECC, Sun Grid
Hosting – Physical data centers such as those run
by IBM, HP, NaviSite, etc.
11
12. Basic Cloud Characteristics
• The “no-need-to-know” in terms of the underlying
details of infrastructure, applications interface with
the infrastructure via the APIs.
• The “flexibility and elasticity” allows these systems
to scale up and down at will
– utilising the resources of all kinds
• CPU, storage, server capacity, load balancing, and databases
• The “pay as much as used and needed” type of
utility computing and the “always on!, anywhere
and any place” type of network-based computing.
12
13. Basic Cloud Characteristics
• Cloud are transparent to users and
applications, they can be built in multiple
ways
– branded products, proprietary open source,
hardware or software, or just off-the-shelf PCs.
• In general, they are built on clusters of PC
servers and off-the-shelf components plus
Open Source software combined with in-
house applications and/or system software.
13
14. Software as a Service (SaaS)
• SaaS is a model of software deployment where an
application is hosted as a service provided to
customers across the Internet.
• Saas alleviates the burden of software
maintenance/support
– but users relinquish control over software versions and
requirements.
• Terms that are used in this sphere include
– Platform as a Service (PaaS) and
– Infrastructure as a Service (IaaS)
14
15. Virtualization
• Virtual workspaces:
– An abstraction of an execution environment that can be made
dynamically available to authorized clients by using well-defined
protocols,
– Resource quota (e.g. CPU, memory share),
– Software configuration (e.g. O/S, provided services).
• Implement on Virtual Machines (VMs):
– Abstraction of a physical host machine,
– Hypervisor intercepts and emulates instructions from VMs, and allows
management of VMs,
– VMWare, Xen, etc.
• Provide infrastructure API:
– Plug-ins to hardware/support structures Hardware
OS
App App App
Hypervisor
OS OS
Virtualized Stack
16. Virtual Machines
• VM technology allows multiple virtual
machines to run on a single physical machine.
Hardware
Virtual Machine Monitor (VMM) / Hypervisor
Guest OS
(Linux)
Guest OS
(NetBSD)
Guest OS
(Windows)
VM VM VM
AppApp AppAppApp
Xen
VMWare
UML
Denali
etc.
Performance: Para-virtualization (e.g. Xen) is very close to raw physical
performance!
16
17. What is the purpose and benefits?
• Cloud computing enables companies and
applications, which are system infrastructure
dependent, to be infrastructure-less.
• By using the Cloud infrastructure on “pay as used
and on demand”, all of us can save in capital and
operational investment!
• Clients can:
– Put their data on the platform instead of on their own
desktop PCs and/or on their own servers.
– They can put their applications on the cloud and use the
servers within the cloud to do processing and data
manipulations etc. 18
18. Cloud-Sourcing
• Why is it becoming a Big Deal:
– Using high-scale/low-cost providers,
– Any time/place access via web browser,
– Rapid scalability; incremental cost and load sharing,
– Can forget need to focus on local IT.
• Concerns:
– Performance, reliability, and SLAs,
– Control of data, and service parameters,
– Application features and choices,
– Interaction between Cloud providers,
– No standard API – mix of SOAP and REST!
– Privacy, security, compliance, trust…
19
21. Cloud Storage
• Several large Web companies are now exploiting the
fact that they have data storage capacity that can be
hired out to others.
– allows data stored remotely to be temporarily cached on
desktop computers, mobile phones or other Internet-
linked devices.
• Amazon’s Elastic Compute Cloud (EC2) and Simple
Storage Solution (S3) are well known examples
– Mechanical Turk
22
22. Amazon Simple Storage Service (S3)
• Unlimited Storage.
• Pay for what you use:
– $0.20 per GByte of data transferred,
– $0.15 per GByte-Month for storage used,
– Second Life Update:
• 1TBytes, 40,000 downloads in 24 hours - $200,
23
23. Utility Computing – EC2
• Amazon Elastic Compute Cloud (EC2):
– Elastic, marshal 1 to 100+ PCs via WS,
– Machine Specs…,
– Fairly cheap!
• Powered by Xen – a Virtual Machine:
– Different from Vmware and VPC as uses “para-virtualization” where
the guest OS is modified to use special hyper-calls:
– Hardware contributions by Intel (VT-x/Vanderpool) and AMD (AMD-
V).
– Supports “Live Migration” of a virtual machine between hosts.
• Linux, Windows, OpenSolaris
• Management Console/AP
24
24. EC2 – The Basics
• Load your image onto S3 and register it.
• Boot your image from the Web Service.
• Open up required ports for your image.
• Connect to your image through SSH.
• Execute you application…
25
25. Opportunities and Challenges
• The use of the cloud provides a number of
opportunities:
– It enables services to be used without any understanding
of their infrastructure.
– Cloud computing works using economies of scale:
• It potentially lowers the outlay expense for start up companies, as
they would no longer need to buy their own software or servers.
• Cost would be by on-demand pricing.
• Vendors and Service providers claim costs by establishing an
ongoing revenue stream.
– Data and services are stored remotely but accessible from
“anywhere”.
26
26. Opportunities and Challenges
• In parallel there has been backlash against cloud computing:
– Use of cloud computing means dependence on others and that could
possibly limit flexibility and innovation:
• The others are likely become the bigger Internet companies like Google
and IBM, who may monopolise the market.
• Some argue that this use of supercomputers is a return to the time of
mainframe computing that the PC was a reaction against.
– Security could prove to be a big issue:
• It is still unclear how safe out-sourced data is and when using these
services ownership of data is not always clear.
– There are also issues relating to policy and access:
• If your data is stored abroad whose policy do you adhere to?
• What happens if the remote server goes down?
• How will you then access files?
• There have been cases of users being locked out of accounts and losing
access to data.
27
27. Advantages of Cloud Computing
• Lower computer costs:
– You do not need a high-powered and high-priced computer
to run cloud computing's web-based applications.
– Since applications run in the cloud, not on the desktop PC,
your desktop PC does not need the processing power or hard
disk space demanded by traditional desktop software.
– When you are using web-based applications, your PC can be
less expensive, with a smaller hard disk, less memory, more
efficient processor...
– In fact, your PC in this scenario does not even need a CD or
DVD drive, as no software programs have to be loaded and
no document files need to be saved.
28
28. Advantages of Cloud Computing
• Improved performance:
– With few large programs hogging your computer's
memory, you will see better performance from your PC.
– Computers in a cloud computing system boot and run
faster because they have fewer programs and processes
loaded into memory…
• Reduced software costs:
– Instead of purchasing expensive software applications, you
can get most of what you need for free-ish!
• most cloud computing applications today, such as the Google Docs suite.
– better than paying for similar commercial software
• which alone may be justification for switching to cloud applications.
29
29. Advantages of Cloud Computing
• Instant software updates:
– Another advantage to cloud computing is that you are no longer faced
with choosing between obsolete software and high upgrade costs.
– When the application is web-based, updates happen automatically
• available the next time you log into the cloud.
– When you access a web-based application, you get the latest version
• without needing to pay for or download an upgrade.
• Improved document format compatibility.
– You do not have to worry about the documents you create on your
machine being compatible with other users' applications or OSes
– There are potentially no format incompatibilities when everyone is
sharing documents and applications in the cloud.
30
30. Advantages of Cloud Computing
• Unlimited storage capacity:
– Cloud computing offers virtually limitless storage.
– Your computer's current 1 Tbyte hard drive is small
compared to the hundreds of Pbytes available in the
cloud.
• Increased data reliability:
– Unlike desktop computing, in which if a hard disk crashes
and destroy all your valuable data, a computer crashing in
the cloud should not affect the storage of your data.
• if your personal computer crashes, all your data is still out there in
the cloud, still accessible
– In a world where few individual desktop PC users back up
their data on a regular basis, cloud computing is a data-
safe computing platform!
31
31. Advantages of Cloud Computing
• Universal document access:
– That is not a problem with cloud computing, because you
do not take your documents with you.
– Instead, they stay in the cloud, and you can access them
whenever you have a computer and an Internet connection
– Documents are instantly available from wherever you are
• Latest version availability:
– When you edit a document at home, that edited version is
what you see when you access the document at work.
– The cloud always hosts the latest version of your
documents
• as long as you are connected, you are not in danger of having an outdated
version 32
32. Advantages of Cloud Computing
• Easier group collaboration:
– Sharing documents leads directly to better collaboration.
– Many users do this as it is an important advantages of cloud
computing
• multiple users can collaborate easily on documents and projects
• Device independence.
– You are no longer tethered to a single computer or network.
– Changes to computers, applications and documents follow
you through the cloud.
– Move to a portable device, and your applications and
documents are still available.
33
33. Disadvantages of Cloud Computing
• Requires a constant Internet connection:
– Cloud computing is impossible if you cannot connect to
the Internet.
– Since you use the Internet to connect to both your
applications and documents, if you do not have an
Internet connection you cannot access anything, even
your own documents.
– A dead Internet connection means no work and in areas
where Internet connections are few or inherently
unreliable, this could be a deal-breaker.
34
34. Disadvantages of Cloud Computing
• Does not work well with low-speed connections:
– Similarly, a low-speed Internet connection, such as that
found with dial-up services, makes cloud computing
painful at best and often impossible.
– Web-based applications require a lot of bandwidth to
download, as do large documents.
• Features might be limited:
– This situation is bound to change, but today many web-
based applications simply are not as full-featured as their
desktop-based applications.
• For example, you can do a lot more with Microsoft PowerPoint
than with Google Presentation's web-based offering
35
35. Disadvantages of Cloud Computing
• Can be slow:
– Even with a fast connection, web-based applications can
sometimes be slower than accessing a similar software
program on your desktop PC.
– Everything about the program, from the interface to the
current document, has to be sent back and forth from
your computer to the computers in the cloud.
– If the cloud servers happen to be backed up at that
moment, or if the Internet is having a slow day, you would
not get the instantaneous access you might expect from
desktop applications.
36
36. Disadvantages of Cloud Computing
• Stored data might not be secure:
– With cloud computing, all your data is stored on the cloud.
• The questions is How secure is the cloud?
– Can unauthorised users gain access to your confidential data?
• Stored data can be lost:
– Theoretically, data stored in the cloud is safe, replicated
across multiple machines.
– But on the off chance that your data goes missing, you have
no physical or local backup.
• Put simply, relying on the cloud puts you at risk if the cloud lets you
down.
37
37. Disadvantages of Cloud Computing
• HPC Systems:
– Not clear that you can run compute-intensive HPC
applications that use MPI/OpenMP!
– Scheduling is important with this type of application
• as you want all the VM to be co-located to minimize communication
latency!
• General Concerns:
– Each cloud systems uses different protocols and different
APIs
• may not be possible to run applications between cloud based systems
– Amazon has created its own DB system (not SQL 92), and
workflow system (many popular workflow systems out there)
• so your normal applications will have to be adapted to execute on
these platforms.
38
38. The Future
• Many of the activities loosely grouped together under cloud
computing have already been happening and centralised
computing activity is not a new phenomena
• Grid Computing was the last research-led centralised
approach
• However there are concerns that the mainstream adoption of
cloud computing could cause many problems for users
• Many new open source systems appearing that you can install
and run on your local cluster
– should be able to run a variety of applications on these systems
39
Editor's Notes
Cloud computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services) that can be rapidly provisioned and released with minimal management effort or service provider interaction. cloud computing customers do not own the physical infrastructure. Cloud computing users avoid capital expenditure (CapEx) on hardware, software, and services when they pay a provider only for what they use. Low shared infrastructure and costs, low management overhead, and immediate access to a broad range of applications
Scalability Infrastructure capacity allows for traffic spikes and minimizes delays. Resiliency Cloud providers have mirrored solutions to minimize downtime in the event of a disaster. This type of resiliency can give businesses the sustainability they need during unanticipated events. Homogeneity: No matter which cloud provider and architecture an organization uses, an open cloud will make it easy for them to work with other groups, even if those other groups choose different providers and architectures. On-demand self-service. A consumer can unilaterally provision computing capabilities, such as server time and network storage, as needed automatically without requiring human interaction with each service’s provider. Broad network access. Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g., mobile phones, laptops, and PDAs). Resource pooling. Multi-tenant model.. There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resources but may be able to specify location at a higher level of abstraction (e.g., country, state, or datacenter). Examples of resources include storage, processing, memory, network bandwidth, and virtual machines. Rapid elasticity. Capabilities can be rapidly and elastically provisioned, in some cases automatically, to quickly scale out and rapidly released to quickly scale in. To the consumer, the capabilities available for provisioning often appear to be unlimited and can be purchased in any quantity at any time. Measured Service. Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service (e.g., storage, processing, bandwidth, and active user accounts).
IaaSdelivers computer infrastructure, typically a platform virtualization environment, as a service. Rather than purchasing servers, software, data center space or network equipment, clients instead buy those resources as a fully outsourced service. PaaSdeliver a computing platform where the developers can develop their own applications. SaaSis a model of software deployment where the software applications are provided to the customers as a service.